{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:30:24Z","timestamp":1740123024683,"version":"3.37.3"},"reference-count":80,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,11,30]],"date-time":"2024-11-30T00:00:00Z","timestamp":1732924800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,11,30]],"date-time":"2024-11-30T00:00:00Z","timestamp":1732924800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100004869","name":"Universit\u00e4t M\u00fcnster","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100004869","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Scientometrics"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Are latent variables of researcher performance capacity merely elaborate proxies of productivity? To investigate this research question, we propose extensions of recently used item-response theory models for the estimation of researcher performance capacity. We argue that productivity should be considered as a potential explanatory variable of reliable individual differences between researchers. Thus, we extend the Conway-Maxwell Poisson counts model and a negative binomial counts model by incorporating productivity as a person-covariate. We estimated six different models: a model without productivity as item and person-covariate, a model with raw productivity as person-covariate, a model with log-productivity as person covariate, a model that treats log-productivity as a known offset, a model with item-specific influences of productivity, and a model with item-specific influences of productivity as well as academic age as person-covariate. We found that the model with item-specific influences of productivity fitted two samples of social science researchers best. In the first dataset, reliable individual differences decreased substantially from excellent reliability when productivity is not modeled at all to inacceptable levels of reliability when productivity is controlled as a person-covariate, while in the second dataset reliability decreased only negligibly. This all emphasizes the critical role of productivity in researcher performance capacity estimation.<\/jats:p>","DOI":"10.1007\/s11192-024-05210-0","type":"journal-article","created":{"date-parts":[[2024,11,30]],"date-time":"2024-11-30T05:51:01Z","timestamp":1732945861000},"page":"43-66","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Reliable individual differences in researcher performance capacity estimates: evaluating productivity as explanatory variable"],"prefix":"10.1007","volume":"130","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9755-7304","authenticated-orcid":false,"given":"Boris","family":"Forthmann","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6977-167X","authenticated-orcid":false,"given":"Marie","family":"Beisemann","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2946-8526","authenticated-orcid":false,"given":"Philipp","family":"Doebler","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3345-6090","authenticated-orcid":false,"given":"R\u00fcdiger","family":"Mutz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,30]]},"reference":[{"issue":"2","key":"5210_CR1","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1007\/s11192-014-1269-8","volume":"101","author":"G Abramo","year":"2014","unstructured":"Abramo, G., & D\u2019Angelo, C. A. (2014). How do you define and measure research productivity? Scientometrics, 101(2), 1129\u20131144. https:\/\/doi.org\/10.1007\/s11192-014-1269-8","journal-title":"Scientometrics"},{"issue":"1","key":"5210_CR2","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1002\/asi.21254","volume":"61","author":"G Abramo","year":"2010","unstructured":"Abramo, G., D\u2019Angelo, C. A., & Costa, F. D. (2010). Testing the trade-off between productivity and quality in research activities. Journal of the American Society for Information Science and Technology, 61(1), 132\u2013140. https:\/\/doi.org\/10.1002\/asi.21254","journal-title":"Journal of the American Society for Information Science and Technology"},{"unstructured":"Ahn, S., & Fessler, J. A. (2003). Standard Errors of Mean, Variance, and Standard Deviation Estimators. University of Michigan. https:\/\/www.eecs.umich.edu\/techreports\/systems\/cspl\/cspl-413.pdf","key":"5210_CR3"},{"key":"5210_CR4","doi-asserted-by":"publisher","DOI":"10.2307\/2094424","author":"PD Allison","year":"1974","unstructured":"Allison, P. D., & Stewart, J. A. (1974). Productivity differences among scientists: Evidence for accumulative advantage. American Sociological Review. https:\/\/doi.org\/10.2307\/2094424","journal-title":"American Sociological Review"},{"issue":"4","key":"5210_CR5","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1007\/BF02680575","volume":"12","author":"P Alvarez","year":"1996","unstructured":"Alvarez, P., & Pulgar\u00edn, A. (1996). Application of the Rasch model to measuring the impact of scientific journals. Publishing Research Quarterly, 12(4), 57\u201364. https:\/\/doi.org\/10.1007\/BF02680575","journal-title":"Publishing Research Quarterly"},{"unstructured":"Baas, J., Boyack, K. W., & Ioannidis, J. P. A. (2021). August 2021 data-update for \"Updated science-wide author databases of standardized citation indicators, Mendeley Data, V3","key":"5210_CR6"},{"issue":"3","key":"5210_CR7","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1111\/bmsp.12273","volume":"75","author":"M Beisemann","year":"2022","unstructured":"Beisemann, M. (2022). A flexible approach to modelling over-, under- and equidispersed count data in IRT: The two-parameter Conway\u2013Maxwell\u2013Poisson model. British Journal of Mathematical and Statistical Psychology, 75(3), 411\u2013443. https:\/\/doi.org\/10.1111\/bmsp.12273","journal-title":"British Journal of Mathematical and Statistical Psychology"},{"issue":"7","key":"5210_CR8","doi-asserted-by":"publisher","first-page":"1597","DOI":"10.1002\/bimj.201900379","volume":"62","author":"M Beisemann","year":"2020","unstructured":"Beisemann, M., Doebler, P., & Holling, H. (2020). Comparison of random-effects meta-analysis models for the relative risk in the case of rare events: A simulation study. Biometrical Journal, 62(7), 1597\u20131630. https:\/\/doi.org\/10.1002\/bimj.201900379","journal-title":"Biometrical Journal"},{"doi-asserted-by":"publisher","unstructured":"Beisemann, M., Forthmann, B., & Doebler, P. (2022). Understanding Ability and Reliability Differences Measured with Count Items: The Distributional Regression Test Model and the Count Latent Regression Model [Preprint]. https:\/\/doi.org\/10.31234\/osf.io\/nyasg","key":"5210_CR9","DOI":"10.31234\/osf.io\/nyasg"},{"issue":"4","key":"5210_CR10","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1002\/bimj.201400184","volume":"57","author":"D B\u00f6hning","year":"2015","unstructured":"B\u00f6hning, D., Mylona, K., & Kimber, A. (2015). Meta-analysis of clinical trials with rare events: Meta-analysis for rare events. Biometrical Journal, 57(4), 633\u2013648. https:\/\/doi.org\/10.1002\/bimj.201400184","journal-title":"Biometrical Journal"},{"issue":"3","key":"5210_CR11","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.joi.2009.10.004","volume":"4","author":"L Bornmann","year":"2010","unstructured":"Bornmann, L., Leydesdorff, L., & Van den Besselaar, P. (2010). A meta-evaluation of scientific research proposals: Different ways of comparing rejected to awarded applications. Journal of Informetrics, 4(3), 211\u2013220. https:\/\/doi.org\/10.1016\/j.joi.2009.10.004","journal-title":"Journal of Informetrics"},{"issue":"2","key":"5210_CR12","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1007\/s11192-018-2982-5","volume":"118","author":"L Bornmann","year":"2019","unstructured":"Bornmann, L., & Tekles, A. (2019). Productivity does not equal usefulness. Scientometrics, 118(2), 705\u2013707. https:\/\/doi.org\/10.1007\/s11192-018-2982-5","journal-title":"Scientometrics"},{"issue":"2","key":"5210_CR13","doi-asserted-by":"publisher","first-page":"378","DOI":"10.32614\/RJ-2017-066","volume":"9","author":"ME Brooks","year":"2017","unstructured":"Brooks, M. E., Kristensen, K., van Benthem, K. J., Magnusson, A., Berg, C. W., Nielsen, A., Skaug, H. J., M\u00e4chler, M., & Bolker, B. M. (2017). glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. The R Journal, 9(2), 378. https:\/\/doi.org\/10.32614\/RJ-2017-066","journal-title":"The R Journal"},{"key":"5210_CR14","first-page":"307","volume-title":"Multivariate applications series. Handbook of item response theory modeling: Applications to typical performance assessment","author":"A Brown","year":"2015","unstructured":"Brown, A., & Croudace, T. J. (2015). Scoring and estimating score precision using multidimensional IRT models. In S. P. Reise & D. A. Revicki (Eds.), Multivariate applications series. Handbook of item response theory modeling: Applications to typical performance assessment (pp. 307\u2013333). Routledge\/Taylor & Francis Group."},{"issue":"1","key":"5210_CR15","doi-asserted-by":"publisher","first-page":"89","DOI":"10.31244\/jero.2022.01.05","volume":"14","author":"G Brunn","year":"2022","unstructured":"Brunn, G., Freise, F., & Doebler, P. (2022). Modeling a smooth course of learning and testing individual deviations from a global course. Journal for Educational Research Online, 14(1), 89\u2013121. https:\/\/doi.org\/10.31244\/jero.2022.01.05","journal-title":"Journal for Educational Research Online"},{"issue":"3\/4","key":"5210_CR16","doi-asserted-by":"publisher","first-page":"310","DOI":"10.2307\/1412321","volume":"14","author":"JM Cattell","year":"1903","unstructured":"Cattell, J. M. (1903). Statistics of American psychologists. The American Journal of Psychology, 14(3\/4), 310\u2013328. https:\/\/doi.org\/10.2307\/1412321","journal-title":"The American Journal of Psychology"},{"issue":"4","key":"5210_CR17","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1108\/IJEBR-10-2018-0692","volume":"26","author":"F Caviggioli","year":"2020","unstructured":"Caviggioli, F., Colombelli, A., De Marco, A., & Paolucci, E. (2020). How venture capitalists evaluate young innovative company patent portfolios: Empirical evidence from Europe. International Journal of Entrepreneurial Behavior & Research, 26(4), 695\u2013721. https:\/\/doi.org\/10.1108\/IJEBR-10-2018-0692","journal-title":"International Journal of Entrepreneurial Behavior & Research"},{"issue":"12","key":"5210_CR18","doi-asserted-by":"publisher","first-page":"7015","DOI":"10.1007\/s11192-022-04328-3","volume":"127","author":"F Caviggioli","year":"2022","unstructured":"Caviggioli, F., & Forthmann, B. (2022). Reach for the stars: Disentangling quantity and quality of inventors\u2019 productivity in a multifaceted latent variable model. Scientometrics, 127(12), 7015\u20137040. https:\/\/doi.org\/10.1007\/s11192-022-04328-3","journal-title":"Scientometrics"},{"issue":"3","key":"5210_CR19","doi-asserted-by":"publisher","first-page":"377","DOI":"10.2307\/2091085","volume":"32","author":"S Cole","year":"1967","unstructured":"Cole, S., & Cole, J. R. (1967). Scientific output and recognition: A Study in the operation of the reward system in science. American Sociological Review, 32(3), 377. https:\/\/doi.org\/10.2307\/2091085","journal-title":"American Sociological Review"},{"key":"5210_CR20","doi-asserted-by":"publisher","DOI":"10.1002\/asi.21348","author":"R Costas","year":"2010","unstructured":"Costas, R., van Leeuwen, T. N., & Bordons, M. (2010). A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact. Journal of the American Society for Information Science and Technology. https:\/\/doi.org\/10.1002\/asi.21348","journal-title":"Journal of the American Society for Information Science and Technology"},{"issue":"2","key":"5210_CR21","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1002\/sim.3471","volume":"28","author":"G Cumming","year":"2009","unstructured":"Cumming, G. (2009). Inference by eye: Reading the overlap of independent confidence intervals. Statistics in Medicine, 28(2), 205\u2013220. https:\/\/doi.org\/10.1002\/sim.3471","journal-title":"Statistics in Medicine"},{"issue":"4","key":"5210_CR22","doi-asserted-by":"publisher","first-page":"652","DOI":"10.1227\/00006123-198704000-00028","volume":"20","author":"RA Davis","year":"1987","unstructured":"Davis, R. A. (1987). Creativity in neurosurgical publications. Neurosurgery, 20(4), 652\u2013663. https:\/\/doi.org\/10.1227\/00006123-198704000-00028","journal-title":"Neurosurgery"},{"key":"5210_CR23","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v039.i12","author":"P De Boeck","year":"2011","unstructured":"De Boeck, P., Bakker, M., Zwitser, R., Nivard, M., Hofman, A., Tuerlinckx, F., & Partchev, I. (2011). The estimation of item response models with the lmer function from the lme4 package in R. Journal of Statistical Software. https:\/\/doi.org\/10.18637\/jss.v039.i12","journal-title":"Journal of Statistical Software"},{"key":"5210_CR24","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1080\/00461520.2023.2291577","volume":"59","author":"D Dumas","year":"2024","unstructured":"Dumas, D., Forthmann, B., & Alexander, P. A. (2024). Using a model of domain learning to understand the development of creativity. Educational Psychologist, 59, 143\u2013158. https:\/\/doi.org\/10.1080\/00461520.2023.2291577","journal-title":"Educational Psychologist"},{"key":"5210_CR25","doi-asserted-by":"publisher","first-page":"104058","DOI":"10.1016\/j.jedc.2020.104058","volume":"123","author":"G Feichtinger","year":"2021","unstructured":"Feichtinger, G., Grass, D., Kort, P. M., & Seidl, A. (2021). On the Matthew effect in research careers. Journal of Economic Dynamics and Control, 123, 104058. https:\/\/doi.org\/10.1016\/j.jedc.2020.104058","journal-title":"Journal of Economic Dynamics and Control"},{"issue":"4","key":"5210_CR26","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1207\/s15326934crj1004_4","volume":"10","author":"GJ Feist","year":"1997","unstructured":"Feist, G. J. (1997). Quantity, quality, and depth of research as influences on scientific eminence: Is quantity most important? Creativity Research Journal, 10(4), 325\u2013335. https:\/\/doi.org\/10.1207\/s15326934crj1004_4","journal-title":"Creativity Research Journal"},{"issue":"5","key":"5210_CR27","doi-asserted-by":"publisher","first-page":"762","DOI":"10.1177\/0013164417719308","volume":"78","author":"PJ Ferrando","year":"2018","unstructured":"Ferrando, P. J., & Lorenzo-Seva, U. (2018). Assessing the quality and appropriateness of factor solutions and factor score estimates in exploratory item factor analysis. Educational and Psychological Measurement, 78(5), 762\u2013780. https:\/\/doi.org\/10.1177\/0013164417719308","journal-title":"Educational and Psychological Measurement"},{"issue":"3","key":"5210_CR28","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1007\/BF02016928","volume":"25","author":"AK Formann","year":"1992","unstructured":"Formann, A. K. (1992). Academic personnel selection: Description and prognosis of the decisions made by the committee for the selection of candidates for a full professorship. Scientometrics, 25(3), 401\u2013414. https:\/\/doi.org\/10.1007\/BF02016928","journal-title":"Scientometrics"},{"issue":"4","key":"5210_CR29","doi-asserted-by":"publisher","first-page":"3337","DOI":"10.1007\/s11192-021-03864-8","volume":"126","author":"B Forthmann","year":"2021","unstructured":"Forthmann, B., & Doebler, P. (2021). Reliability of researcher capacity estimates and count data dispersion: A comparison of Poisson, negative binomial, and Conway-Maxwell-Poisson models. Scientometrics, 126(4), 3337\u20133354. https:\/\/doi.org\/10.1007\/s11192-021-03864-8","journal-title":"Scientometrics"},{"doi-asserted-by":"publisher","unstructured":"Forthmann, B., Doebler, P., & Mutz, R. (2024). Why summing up bibliometric indicators does not justify a composite indicator. Scientometrics. Advance Online Publication. https:\/\/doi.org\/10.1007\/s11192-024-05194-x","key":"5210_CR100","DOI":"10.1007\/s11192-024-05194-x"},{"issue":"S1","key":"5210_CR30","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1111\/bmsp.12184","volume":"73","author":"B Forthmann","year":"2020","unstructured":"Forthmann, B., G\u00fchne, D., & Doebler, P. (2020a). Revisiting dispersion in count data item response theory models: The Conway\u2013Maxwell\u2013Poisson counts model. British Journal of Mathematical and Statistical Psychology, 73(S1), 32\u201350. https:\/\/doi.org\/10.1111\/bmsp.12184","journal-title":"British Journal of Mathematical and Statistical Psychology"},{"issue":"3","key":"5210_CR31","doi-asserted-by":"publisher","first-page":"2497","DOI":"10.1007\/s11192-020-03571-w","volume":"124","author":"B Forthmann","year":"2020","unstructured":"Forthmann, B., Leveling, M., Dong, Y., & Dumas, D. (2020b). Investigating the quantity\u2013quality relationship in scientific creativity: An empirical examination of expected residual variance and the tilted funnel hypothesis. Scientometrics, 124(3), 2497\u20132518. https:\/\/doi.org\/10.1007\/s11192-020-03571-w","journal-title":"Scientometrics"},{"issue":"1","key":"5210_CR32","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1080\/09737766.2021.1989988","volume":"16","author":"B Forthmann","year":"2022","unstructured":"Forthmann, B., & Szardenings, C. (2022). Predicted correlation. COLLNET Journal of Scientometrics and Information Management, 16(1), 7\u201318. https:\/\/doi.org\/10.1080\/09737766.2021.1989988","journal-title":"COLLNET Journal of Scientometrics and Information Management"},{"issue":"2","key":"5210_CR33","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1037\/aca0000294","volume":"15","author":"B Forthmann","year":"2021","unstructured":"Forthmann, B., Szardenings, C., & Dumas, D. (2021). Testing equal odds in creativity research. Psychology of Aesthetics, Creativity, and the Arts, 15(2), 324\u2013339. https:\/\/doi.org\/10.1037\/aca0000294","journal-title":"Psychology of Aesthetics, Creativity, and the Arts"},{"issue":"4060","key":"5210_CR34","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1126\/science.178.4060.471","volume":"178","author":"E Garfield","year":"1972","unstructured":"Garfield, E. (1972). Citation analysis as a tool in journal evalua-tion: Journals can be ranked by frequency and impact of citations for science policy studies. Science, 178(4060), 471\u2013479. https:\/\/doi.org\/10.1126\/science.178.4060.471","journal-title":"Science"},{"doi-asserted-by":"publisher","unstructured":"G\u00e4rtner, A., Leising, D., & Sch\u00f6nbrodt, F. D. (2022). Responsible research assessment II: A specific proposal for hiring and promotion in psychology [Preprint]. https:\/\/doi.org\/10.31234\/osf.io\/5yexm","key":"5210_CR35","DOI":"10.31234\/osf.io\/5yexm"},{"issue":"1","key":"5210_CR36","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1007\/s11192-012-0898-z","volume":"96","author":"W Gl\u00e4nzel","year":"2013","unstructured":"Gl\u00e4nzel, W., & Moed, H. F. (2013). Opinion paper: Thoughts and facts on bibliometric indicators. Scientometrics, 96(1), 381\u2013394. https:\/\/doi.org\/10.1007\/s11192-012-0898-z","journal-title":"Scientometrics"},{"issue":"3","key":"5210_CR37","doi-asserted-by":"publisher","first-page":"647","DOI":"10.2308\/iace-50140","volume":"27","author":"SM Glover","year":"2012","unstructured":"Glover, S. M., Prawitt, D. F., Summers, S. L., & Wood, D. A. (2012). Publication benchmarking data based on faculty promoted at the top 75 U.S. accounting research institutions. Issues in Accounting Education, 27(3), 647\u2013670. https:\/\/doi.org\/10.2308\/iace-50140","journal-title":"Issues in Accounting Education"},{"issue":"1","key":"5210_CR38","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1111\/j.1539-6924.2008.01014.x","volume":"28","author":"SD Guikema","year":"2008","unstructured":"Guikema, S. D., & Goffelt, J. P. (2008). A flexible count data regression model for risk analysis. Risk Analysis, 28(1), 213\u2013223. https:\/\/doi.org\/10.1111\/j.1539-6924.2008.01014.x","journal-title":"Risk Analysis"},{"issue":"5","key":"5210_CR39","doi-asserted-by":"publisher","first-page":"896","DOI":"10.1037\/0022-3514.39.5.896","volume":"39","author":"RL Helmreich","year":"1980","unstructured":"Helmreich, R. L., Spence, J. T., Beane, W. E., Lucker, G. W., & Matthews, K. A. (1980). Making it in academic psychology: Demographic and personality correlates of attainment. Journal of Personality and Social Psychology, 39(5), 896\u2013908. https:\/\/doi.org\/10.1037\/0022-3514.39.5.896","journal-title":"Journal of Personality and Social Psychology"},{"doi-asserted-by":"publisher","unstructured":"Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National academy of Sciences, 102(46), 16569\u201316572. https:\/\/doi.org\/10.1073\/pnas.0507655102","key":"5210_CR101","DOI":"10.1073\/pnas.0507655102"},{"key":"5210_CR40","volume-title":"Statistik\u2014Wahrscheinlichkeitstheorie und Sch\u00e4tzverfahren [Statistics\u2014Probability theory and estimation procedures]","author":"H Holling","year":"2013","unstructured":"Holling, H., & Gediga, G. (2013). Statistik\u2014Wahrscheinlichkeitstheorie und Sch\u00e4tzverfahren [Statistics\u2014Probability theory and estimation procedures]. Hogrefe."},{"issue":"6","key":"5210_CR41","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1177\/1471082X17697749","volume":"17","author":"A Huang","year":"2017","unstructured":"Huang, A. (2017). Mean-parametrized Conway\u2013Maxwell\u2013Poisson regression models for dispersed counts. Statistical Modelling, 17(6), 359\u2013380. https:\/\/doi.org\/10.1177\/1471082X17697749","journal-title":"Statistical Modelling"},{"issue":"2","key":"5210_CR42","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1177\/0146621611429548","volume":"36","author":"L-F Hung","year":"2012","unstructured":"Hung, L.-F. (2012). A negative binomial regression model for accuracy tests. Applied Psychological Measurement, 36(2), 88\u2013103. https:\/\/doi.org\/10.1177\/0146621611429548","journal-title":"Applied Psychological Measurement"},{"key":"5210_CR43","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pbio.1002501","author":"JPA Ioannidis","year":"2016","unstructured":"Ioannidis, J. P. A., Klavans, R., & Boyack, K. W. (2016). Multiple citation indicators and their composite across scientific disciplines. PLoS Biology. https:\/\/doi.org\/10.1371\/journal.pbio.1002501","journal-title":"PLoS Biology"},{"key":"5210_CR44","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v038.i08","author":"CH Jackson","year":"2011","unstructured":"Jackson, C. H. (2011). Multi-state models for panel data: The msm package for R. Journal of Statistical Software. https:\/\/doi.org\/10.18637\/jss.v038.i08","journal-title":"Journal of Statistical Software"},{"issue":"6","key":"5210_CR45","doi-asserted-by":"publisher","first-page":"3543","DOI":"10.1007\/s11192-022-04363-0","volume":"127","author":"M Kwiek","year":"2022","unstructured":"Kwiek, M., & Roszka, W. (2022). Academic vs. biological age in research on academic careers: A large-scale study with implications for scientifically developing systems. Scientometrics, 127(6), 3543\u20133575. https:\/\/doi.org\/10.1007\/s11192-022-04363-0","journal-title":"Scientometrics"},{"issue":"495","key":"5210_CR46","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1111\/j.1468-0297.2004.00216.x","volume":"114","author":"JO Lanjouw","year":"2004","unstructured":"Lanjouw, J. O., & Schankerman, M. (2004). Patent quality and research productivity: Measuring innovation with multiple indicators. The Economic Journal, 114(495), 441\u2013465. https:\/\/doi.org\/10.1111\/j.1468-0297.2004.00216.x","journal-title":"The Economic Journal"},{"key":"5210_CR47","first-page":"317","volume":"16","author":"AJ Lotka","year":"1926","unstructured":"Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of Washington Academy Sciences, 16, 317\u2013323.","journal-title":"Journal of Washington Academy Sciences"},{"key":"5210_CR48","doi-asserted-by":"publisher","DOI":"10.5281\/ZENODO.6975538","author":"R Mutz","year":"2022","unstructured":"Mutz, R. (2022). Why simply summing up any bibliometric indicators does not justify a good composite indicator for individual researcher assessment. A Measurement Perspective. https:\/\/doi.org\/10.5281\/ZENODO.6975538"},{"issue":"3","key":"5210_CR49","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1016\/j.joi.2017.04.009","volume":"11","author":"R Mutz","year":"2017","unstructured":"Mutz, R., Bornmann, L., & Daniel, H.-D. (2017). Are there any frontiers of research performance? Efficiency measurement of funded research projects with the Bayesian stochastic frontier analysis for count data. Journal of Informetrics, 11(3), 613\u2013628. https:\/\/doi.org\/10.1016\/j.joi.2017.04.009","journal-title":"Journal of Informetrics"},{"issue":"4","key":"5210_CR50","doi-asserted-by":"publisher","first-page":"1282","DOI":"10.1016\/j.joi.2018.10.006","volume":"12","author":"R Mutz","year":"2018","unstructured":"Mutz, R., & Daniel, H.-D. (2018). The bibliometric quotient (BQ), or how to measure a researcher\u2019s performance capacity: A Bayesian Poisson Rasch model. Journal of Informetrics, 12(4), 1282\u20131295. https:\/\/doi.org\/10.1016\/j.joi.2018.10.006","journal-title":"Journal of Informetrics"},{"issue":"2","key":"5210_CR51","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1016\/j.joi.2019.03.007","volume":"13","author":"R Mutz","year":"2019","unstructured":"Mutz, R., & Daniel, H.-D. (2019). How to consider fractional counting and field normalization in the statistical modeling of bibliometric data: A multilevel Poisson regression approach. Journal of Informetrics, 13(2), 643\u2013657. https:\/\/doi.org\/10.1016\/j.joi.2019.03.007","journal-title":"Journal of Informetrics"},{"key":"5210_CR52","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.intell.2018.03.010","volume":"68","author":"N Myszkowski","year":"2018","unstructured":"Myszkowski, N., & Storme, M. (2018). A snapshot of g\u202f? Binary and polytomous item-response theory investigations of the last series of the standard progressive matrices (SPM-LS). Intelligence, 68, 109\u2013116. https:\/\/doi.org\/10.1016\/j.intell.2018.03.010","journal-title":"Intelligence"},{"issue":"2","key":"5210_CR53","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1007\/s11192-017-2525-5","volume":"114","author":"G Prathap","year":"2018","unstructured":"Prathap, G. (2018). Eugene Garfield: From the metrics of science to the science of metrics. Scientometrics, 114(2), 637\u2013650. https:\/\/doi.org\/10.1007\/s11192-017-2525-5","journal-title":"Scientometrics"},{"unstructured":"R Core Team. (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https:\/\/www.R-project.org\/","key":"5210_CR54"},{"key":"5210_CR55","doi-asserted-by":"publisher","DOI":"10.2307\/271063","author":"AE Raftery","year":"1995","unstructured":"Raftery, A. E. (1995). Bayesian model selection in social research. Sociological Methodology. https:\/\/doi.org\/10.2307\/271063","journal-title":"Sociological Methodology"},{"issue":"3","key":"5210_CR56","doi-asserted-by":"publisher","first-page":"470","DOI":"10.5465\/amle.2021.0177","volume":"21","author":"RS Ramani","year":"2022","unstructured":"Ramani, R. S., Aguinis, H., & Coyle-Shapiro, J.A.-M. (2022). Defining, measuring, and rewarding scholarly impact: Mind the level of analysis. Academy of Management Learning & Education, 21(3), 470\u2013486. https:\/\/doi.org\/10.5465\/amle.2021.0177","journal-title":"Academy of Management Learning & Education"},{"key":"5210_CR57","volume-title":"Studies in mathematical psychology: I. Probabilistic models for some intelligence and attainment tests","author":"G Rasch","year":"1960","unstructured":"Rasch, G. (1960). Studies in mathematical psychology: I. Probabilistic models for some intelligence and attainment tests. Nielsen & Lydiche."},{"issue":"4","key":"5210_CR58","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1037\/0021-9010.74.4.636","volume":"74","author":"RC Rodgers","year":"1989","unstructured":"Rodgers, R. C., & Maranto, C. L. (1989). Causal models of publishing productivity in psychology. Journal of Applied Psychology, 74(4), 636\u2013649. https:\/\/doi.org\/10.1037\/0021-9010.74.4.636","journal-title":"Journal of Applied Psychology"},{"doi-asserted-by":"publisher","unstructured":"Sch\u00f6nbrodt, F., G\u00e4rtner, A., Frank, M., Gollwitzer, M., Ihle, M., Mischkowski, D., Phan, L. V., Schmitt, M., Scheel, A. M., Schubert, A.-L., Steinberg, U., & Leising, D. (2022). Responsible research assessment I: Implementing DORA for hiring and promotion in psychology. https:\/\/doi.org\/10.23668\/PSYCHARCHIVES.8162","key":"5210_CR59","DOI":"10.23668\/PSYCHARCHIVES.8162"},{"key":"5210_CR60","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176344136","author":"G Schwarz","year":"1978","unstructured":"Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics. https:\/\/doi.org\/10.1214\/aos\/1176344136","journal-title":"The Annals of Statistics"},{"key":"5210_CR61","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOAS306","author":"KF Sellers","year":"2010","unstructured":"Sellers, K. F., & Shmueli, G. (2010). A flexible regression model for count data. The Annals of Applied Statistics. https:\/\/doi.org\/10.1214\/09-AOAS306","journal-title":"The Annals of Applied Statistics"},{"issue":"3","key":"5210_CR62","doi-asserted-by":"publisher","first-page":"1683","DOI":"10.1007\/s11192-019-03339-x","volume":"122","author":"F Shu","year":"2020","unstructured":"Shu, F., Quan, W., Chen, B., Qiu, J., Sugimoto, C. R., & Larivi\u00e8re, V. (2020). The role of web of science publications in China\u2019s tenure system. Scientometrics, 122(3), 1683\u20131695. https:\/\/doi.org\/10.1007\/s11192-019-03339-x","journal-title":"Scientometrics"},{"issue":"1","key":"5210_CR63","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/0273-2297(84)90020-0","volume":"4","author":"DK Simonton","year":"1984","unstructured":"Simonton, D. K. (1984). Creative productivity and age: A mathematical model based on a two-step cognitive process. Developmental Review, 4(1), 77\u2013111. https:\/\/doi.org\/10.1016\/0273-2297(84)90020-0","journal-title":"Developmental Review"},{"issue":"2","key":"5210_CR64","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1037\/0033-2909.104.2.251","volume":"104","author":"DK Simonton","year":"1988","unstructured":"Simonton, D. K. (1988). Age and outstanding achievement: What do we know after a century of research? Psychological Bulletin, 104(2), 251\u2013267. https:\/\/doi.org\/10.1037\/0033-2909.104.2.251","journal-title":"Psychological Bulletin"},{"key":"5210_CR65","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139165358","volume-title":"Creativity in science: Chance, logic, genius, and zeitgeist (1. aufl.)","author":"DK Simonton","year":"2004","unstructured":"Simonton, D. K. (2004). Creativity in science: Chance, logic, genius, and zeitgeist (1. aufl.). Cambridge University Press."},{"issue":"2","key":"5210_CR66","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.plrev.2010.02.002","volume":"7","author":"DK Simonton","year":"2010","unstructured":"Simonton, D. K. (2010). Creative thought as blind-variation and selective-retention: Combinatorial models of exceptional creativity. Physics of Life Reviews, 7(2), 156\u2013179. https:\/\/doi.org\/10.1016\/j.plrev.2010.02.002","journal-title":"Physics of Life Reviews"},{"key":"5210_CR67","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaf5239","author":"R Sinatra","year":"2016","unstructured":"Sinatra, R., Wang, D., Deville, P., Song, C., & Barab\u00e1si, A.-L. (2016). Quantifying the evolution of individual scientific impact. Science. https:\/\/doi.org\/10.1126\/science.aaf5239","journal-title":"Science"},{"unstructured":"Smith, L. C. (1981). Citation analysis. Library Trends, 30, 83\u2013106. https:\/\/hdl.handle.net\/2142\/7190","key":"5210_CR68"},{"issue":"2","key":"5210_CR69","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1007\/s11192-019-03042-x","volume":"119","author":"JWH Sonne","year":"2019","unstructured":"Sonne, J. W. H., Dawson, N. T., & Smith, G. V. (2019). Research productivity of doctor of physical therapy faculty promoted in the Western United States. Scientometrics, 119(2), 707\u2013719. https:\/\/doi.org\/10.1007\/s11192-019-03042-x","journal-title":"Scientometrics"},{"issue":"3","key":"5210_CR70","doi-asserted-by":"publisher","first-page":"17","DOI":"10.3390\/jintelligence7030017","volume":"7","author":"M Storme","year":"2019","unstructured":"Storme, M., Myszkowski, N., Baron, S., & Bernard, D. (2019). Same test, better scores: Boosting the reliability of short online intelligence recruitment tests with nested logit item response theory models. Journal of Intelligence, 7(3), 17. https:\/\/doi.org\/10.3390\/jintelligence7030017","journal-title":"Journal of Intelligence"},{"issue":"2","key":"5210_CR71","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1016\/j.joi.2015.12.007","volume":"10","author":"M Thelwall","year":"2016","unstructured":"Thelwall, M. (2016). The discretised lognormal and hooked power law distributions for complete citation data: Best options for modelling and regression. Journal of Informetrics, 10(2), 336\u2013346. https:\/\/doi.org\/10.1016\/j.joi.2015.12.007","journal-title":"Journal of Informetrics"},{"issue":"4","key":"5210_CR72","doi-asserted-by":"publisher","first-page":"273","DOI":"10.3152\/095820209X475360","volume":"18","author":"P van den Besselaar","year":"2009","unstructured":"van den Besselaar, P., & Leydesdorff, L. (2009). Past performance, peer review and project selection: A case study in the social and behavioral sciences. Research Evaluation, 18(4), 273\u2013288. https:\/\/doi.org\/10.3152\/095820209X475360","journal-title":"Research Evaluation"},{"key":"5210_CR73","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/s11192-005-0008-6","volume":"62","author":"AF van Raan","year":"2005","unstructured":"van Raan, A. F. (2005). Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods. Scientometrics, 62, 133\u2013143. https:\/\/doi.org\/10.1007\/s11192-005-0008-6","journal-title":"Scientometrics"},{"issue":"2","key":"5210_CR74","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/BF02016887","volume":"32","author":"P Vinkler","year":"1995","unstructured":"Vinkler, P. (1995). Some aspects of the evaluation of scientific and related performances of individuals. Scientometrics, 32(2), 109\u2013116. https:\/\/doi.org\/10.1007\/BF02016887","journal-title":"Scientometrics"},{"issue":"2","key":"5210_CR75","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1016\/j.joi.2015.12.008","volume":"10","author":"L Waltman","year":"2016","unstructured":"Waltman, L., van Eck, N. J., Visser, M., & Wouters, P. (2016). The elephant in the room: The problem of quantifying productivity in evaluative scientometrics. Journal of Informetrics, 10(2), 671\u2013674. https:\/\/doi.org\/10.1016\/j.joi.2015.12.008","journal-title":"Journal of Informetrics"},{"issue":"22","key":"5210_CR76","doi-asserted-by":"publisher","first-page":"10729","DOI":"10.1073\/pnas.1817431116","volume":"116","author":"SF Way","year":"2019","unstructured":"Way, S. F., Morgan, A. C., Larremore, D. B., & Clauset, A. (2019). Productivity, prominence, and the effects of academic environment. Proceedings of the National Academy of Sciences, 116(22), 10729\u201310733. https:\/\/doi.org\/10.1073\/pnas.1817431116","journal-title":"Proceedings of the National Academy of Sciences"},{"doi-asserted-by":"crossref","unstructured":"Wood, S. N. (2017). Generalized additive models: An introduction with R. Chapman and hall\/CRC","key":"5210_CR77","DOI":"10.1201\/9781315370279"},{"issue":"2","key":"5210_CR78","doi-asserted-by":"publisher","first-page":"887","DOI":"10.1007\/s11192-020-03544-z","volume":"124","author":"G Yair","year":"2020","unstructured":"Yair, G., & Goldstein, K. (2020). The Annus Mirabilis paper: Years of peak productivity in scientific careers. Scientometrics, 124(2), 887\u2013902. https:\/\/doi.org\/10.1007\/s11192-020-03544-z","journal-title":"Scientometrics"}],"container-title":["Scientometrics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-024-05210-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11192-024-05210-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-024-05210-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T09:27:32Z","timestamp":1738834052000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11192-024-05210-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,30]]},"references-count":80,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["5210"],"URL":"https:\/\/doi.org\/10.1007\/s11192-024-05210-0","relation":{"references":[{"id-type":"uri","id":"","asserted-by":"subject"}]},"ISSN":["0138-9130","1588-2861"],"issn-type":[{"type":"print","value":"0138-9130"},{"type":"electronic","value":"1588-2861"}],"subject":[],"published":{"date-parts":[[2024,11,30]]},"assertion":[{"value":"14 July 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 November 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 November 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no conflict of interest to declare.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}