{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T23:30:13Z","timestamp":1762299013000,"version":"3.37.3"},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,5,4]],"date-time":"2019-05-04T00:00:00Z","timestamp":1556928000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100009566","name":"Foundational Questions Institute","doi-asserted-by":"crossref","award":["FQXi-MGA-1712"],"award-info":[{"award-number":["FQXi-MGA-1712"]}],"id":[{"id":"10.13039\/100009566","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Scientometrics"],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1007\/s11192-019-03110-2","type":"journal-article","created":{"date-parts":[[2019,5,6]],"date-time":"2019-05-06T14:03:19Z","timestamp":1557151399000},"page":"87-104","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Predicting authors\u2019 citation counts and h-indices with a neural network"],"prefix":"10.1007","volume":"120","author":[{"given":"Tobias","family":"Mistele","sequence":"first","affiliation":[]},{"given":"Tom","family":"Price","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2515-3842","authenticated-orcid":false,"given":"Sabine","family":"Hossenfelder","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,4]]},"reference":[{"key":"3110_CR1","unstructured":"Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.\u00a0S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Man\u00e9, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Vi\u00e9gas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., & Zheng, X. (2015). Tensorflow: Large-scale machine learning on heterogeneous systems. \n                    https:\/\/www.tensorflow.org\/\n                    \n                  . Accessed Apr 2018."},{"issue":"7415","key":"3110_CR2","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1038\/489201a","volume":"489","author":"DE Acuna","year":"2012","unstructured":"Acuna, D. E., & Allesina, S. (2012). Predicting scientific success. Nature, 489(7415), 201\u2013202.","journal-title":"Nature"},{"issue":"4","key":"3110_CR3","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/j.joi.2009.04.001","volume":"3","author":"S Alonso","year":"2009","unstructured":"Alonso, S., Cabrerizo, F. J., Herrera-Viedma, E., & Herrera, F. (2009). $$h$$-index: A review focused in its variants, computation and standardization for different scientific fields. Journal of Informetrics, 3(4), 273\u2013289.","journal-title":"Journal of Informetrics"},{"issue":"1","key":"3110_CR4","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5\u201332.","journal-title":"Machine Learning"},{"key":"3110_CR5","unstructured":"Chollet, F., et\u00a0al. (2015) Keras. \n                    https:\/\/github.com\/keras-team\/keras\n                    \n                  . Accessed Apr 2018."},{"key":"3110_CR6","unstructured":"Clarivate Analytics. 2001\u20132009 journal citation reports (2017)."},{"issue":"7679","key":"3110_CR7","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1038\/551163a","volume":"551","author":"A Csiszar","year":"2017","unstructured":"Csiszar, A. (2017). The catalogue that made metrics, and changed science. Nature, 551(7679), 163\u2013165.","journal-title":"Nature"},{"key":"3110_CR9","unstructured":"Dong, Y., Johnson, R.\u00a0A., & Chawla, N.\u00a0V. (2014). Will this paper increase your $$h$$-index? Scientific impact prediction. CoRR, \n                    arXiv:1412.4754\n                    \n                  ."},{"key":"3110_CR8","unstructured":"George, D. P., & Knegjens, R. Paperscape. \n                    http:\/\/paperscape.org\n                    \n                  ."},{"issue":"49","key":"3110_CR10","doi-asserted-by":"publisher","first-page":"19193","DOI":"10.1073\/pnas.0707962104","volume":"104","author":"JE Hirsch","year":"2007","unstructured":"Hirsch, J. E. (2007). Does the $$h$$ index have predictive power? Proceedings of the National Academy of Sciences, 104(49), 19193\u201319198.","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"3110_CR11","doi-asserted-by":"crossref","unstructured":"Nezhadbiglari, M., Gon\u00e7alves, M., & Almeida, J.\u00a0M. (2016). Early prediction of scholar popularity. 2016 IEEE\/ACM joint conference on digital libraries (JCDL) (pp. 181\u2013190).","DOI":"10.1145\/2910896.2910905"},{"key":"3110_CR12","unstructured":"Open archive initiative, arxiv download url. \n                    https:\/\/arxiv.org\/help\/oa\/index\n                    \n                  . Accessed Apr 2018."},{"key":"3110_CR13","unstructured":"Paperscape documentation on github. \n                    https:\/\/github.com\/paperscape\/paperscape-data\/\n                    \n                  . Accessed Apr 2018."},{"key":"3110_CR14","unstructured":"Price, T., & Hossenfelder, S. (2018). Measuring scientific broadness. \n                    arXiv:1805.04647\n                    \n                   [physics.soc-ph]."},{"key":"3110_CR15","unstructured":"Samuel, M.H. (2015) Pagerank + sparse matrices+ python (ipython notebook). \n                    http:\/\/blog.samuelmh.com\/2015\/02\/pagerank-sparse-matrices-python-ipython.html\n                    \n                  . Accessed Dec 2017."},{"key":"3110_CR16","doi-asserted-by":"publisher","first-page":"864","DOI":"10.1038\/465864a","volume":"465","author":"R Van Noorden","year":"2012","unstructured":"Van Noorden, R. (2012). Metrics: A profusion of measures. Nature, 465, 864\u2013866.","journal-title":"Nature"},{"key":"3110_CR17","unstructured":"Waltman, L. (2015). A review of the literature on citation impact indicators. \n                    arXiv:1507.02099\n                    \n                   [cs.DL]."},{"key":"3110_CR18","unstructured":"Weihs, L., & Etzioni, O. (2017). Learning to predict citation-based impact measures. In: 2017 ACM\/IEEE joint conference on digital libraries (JCDL) (pp. 1\u201310)."},{"key":"3110_CR19","doi-asserted-by":"crossref","unstructured":"Yan, R., Huang, C., Tang, J., Zhang, Y., & Li, X. (2012). To better stand on the shoulder of giants. In JCDL.","DOI":"10.1145\/2232817.2232831"},{"key":"3110_CR20","unstructured":"Zhang, C., Liu, C., Yu, L., Zhang, Z.-K., & Zhou, Tao. (2016). Identifying the academic rising stars. CoRR, \n                    arXiv:1606.05752\n                    \n                  ."}],"container-title":["Scientometrics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-019-03110-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11192-019-03110-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-019-03110-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,2]],"date-time":"2020-05-02T23:27:15Z","timestamp":1588462035000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11192-019-03110-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,4]]},"references-count":20,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,7]]}},"alternative-id":["3110"],"URL":"https:\/\/doi.org\/10.1007\/s11192-019-03110-2","relation":{},"ISSN":["0138-9130","1588-2861"],"issn-type":[{"type":"print","value":"0138-9130"},{"type":"electronic","value":"1588-2861"}],"subject":[],"published":{"date-parts":[[2019,5,4]]},"assertion":[{"value":"6 July 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 May 2019","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}