{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T07:58:48Z","timestamp":1767772728814,"version":"3.37.3"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2023,7,20]],"date-time":"2023-07-20T00:00:00Z","timestamp":1689811200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,7,20]],"date-time":"2023-07-20T00:00:00Z","timestamp":1689811200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["16TOA034A"],"award-info":[{"award-number":["16TOA034A"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Digit Libr"],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Finding a suitable open access journal to publish academic work is a complex task: Researchers have to navigate a constantly growing number of journals, institutional agreements with publishers, funders\u2019 conditions and the risk of predatory publishers. To help with these challenges, we introduce a web-based journal recommendation system called B!SON. A systematic requirements analysis was conducted in the form of a survey. The developed tool suggests open access journals based on title, abstract and references provided by the user. The recommendations are built on open data, publisher-independent and work across domains and languages. Transparency is provided by its open source nature, an open application programming interface (API) and by specifying which matches the shown recommendations are based on. The recommendation quality has been evaluated using two different evaluation techniques, including several new recommendation methods. We were able to improve the results from our previous paper with a pre-trained transformer model. The beta version of the tool received positive feedback from the community and in several test sessions. We developed a recommendation system for open access journals to help researchers find a suitable journal. The open tool has been extensively tested, and we found possible improvements for our current recommendation technique. Development by two German academic libraries ensures the longevity and sustainability of the system.<\/jats:p>","DOI":"10.1007\/s00799-023-00372-3","type":"journal-article","created":{"date-parts":[[2023,7,20]],"date-time":"2023-07-20T16:02:23Z","timestamp":1689868943000},"page":"505-516","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Comparing different search methods for the open access journal recommendation tool B!SON"],"prefix":"10.1007","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7380-1189","authenticated-orcid":false,"given":"Elias","family":"Entrup","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3184-5930","authenticated-orcid":false,"given":"Anita","family":"Eppelin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0918-6297","authenticated-orcid":false,"given":"Ralph","family":"Ewerth","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5336-6853","authenticated-orcid":false,"given":"Josephine","family":"Hartwig","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5111-2788","authenticated-orcid":false,"given":"Marco","family":"Tullney","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7280-5284","authenticated-orcid":false,"given":"Michael","family":"Wohlgemuth","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1452-9509","authenticated-orcid":false,"given":"Anett","family":"Hoppe","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,20]]},"reference":[{"key":"372_CR1","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.5728148","author":"J Hartwig","year":"2021","unstructured":"Hartwig, J., Eppelin, A.: Which journal characteristics are crucial for scientists when selecting journals for their publications? Results tables of an online survey. Zenodo (2021). https:\/\/doi.org\/10.5281\/zenodo.5728148","journal-title":"Zenodo"},{"key":"372_CR2","doi-asserted-by":"publisher","unstructured":"Entrup, E., Eppelin, A., Ewerth, R., Hartwig, J., Tullney, M., Wohlgemuth, M., Hoppe, A.: B!SON: A tool for open access journal recommendation. In: Linking Theory and Practice of Digital Libraries, pp. 357\u2013364. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-16802-4_33","DOI":"10.1007\/978-3-031-16802-4_33"},{"key":"372_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105784","volume":"197","author":"T Pradhan","year":"2020","unstructured":"Pradhan, T., Pal, S.: A multi-level fusion based decision support system for academic collaborator recommendation. Knowl.-Based Syst. 197, 105784 (2020). https:\/\/doi.org\/10.1016\/j.knosys.2020.105784","journal-title":"Knowl.-Based Syst."},{"key":"372_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114331","volume":"169","author":"T Pradhan","year":"2021","unstructured":"Pradhan, T., Sahoo, S., Singh, U., Pal, S.: A proactive decision support system for reviewer recommendation in academia. Expert Syst. Appl. 169, 114331 (2021). https:\/\/doi.org\/10.1016\/j.eswa.2020.114331","journal-title":"Expert Syst. Appl."},{"issue":"4","key":"372_CR5","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1007\/s00799-015-0156-0","volume":"17","author":"J Beel","year":"2016","unstructured":"Beel, J., Gipp, B., Langer, S., Breitinger, C.: Research-paper recommender systems: a literature survey. Int. J. Digit. Libr. 17(4), 305\u2013338 (2016). https:\/\/doi.org\/10.1007\/s00799-015-0156-0","journal-title":"Int. J. Digit. Libr."},{"key":"372_CR6","doi-asserted-by":"publisher","unstructured":"Brack, A., Hoppe, A., Ewerth, R.: Citation recommendation for research papers via knowledge graphs. In: International Conference on Theory and Practice of Digital Libraries, TPDL 2021, Virtual Event, September 13\u201317, 2021, Proceedings. Lecture Notes in Computer Science, vol. 12866, pp. 165\u2013174. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-86324-1_20","DOI":"10.1007\/978-3-030-86324-1_20"},{"key":"372_CR7","unstructured":"Sch\u00e4fermeier, B., Stumme, G., Hanika, T.: Towards Explainable Scientific Venue Recommendations. arXiv:2109.11343 [cs] (2021)"},{"issue":"5","key":"372_CR8","doi-asserted-by":"publisher","first-page":"2381","DOI":"10.1007\/s11192-022-04354-1","volume":"127","author":"H ZhengWei","year":"2022","unstructured":"ZhengWei, H., JinTao, M., YanNi, Y., Jin, H., Ye, T.: Recommendation method for academic journal submission based on doc2vec and XGBoost. Scientometrics 127(5), 2381\u20132394 (2022). https:\/\/doi.org\/10.1007\/s11192-022-04354-1","journal-title":"Scientometrics"},{"key":"372_CR9","doi-asserted-by":"publisher","unstructured":"Nguyen, D., Huynh, S., Huynh, P., Dinh, C.V., Nguyen, B.T.: S2CFT: A new approach for paper submission recommendation. In: SOFSEM 2021: Theory and Practice of Computer Science vol. 12607, pp. 563\u2013573. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-67731-2_41","DOI":"10.1007\/978-3-030-67731-2_41"},{"key":"372_CR10","unstructured":"Rollins, J., McCusker, M., Carlson, J., Stroll, J.: Manuscript Matcher: A Content and Bibliometrics-based Scholarly Journal Recommendation System. In: Proceedings of the Fifth Workshop on Bibliometric-enhanced Information Retrieval (BIR) Co-located with the 39th European Conference on Information Retrieval (ECIR 2017), Aberdeen, UK, April 9th, 2017, (2017). http:\/\/ceur-ws.org\/Vol-1823\/paper2.pdf"},{"key":"372_CR11","doi-asserted-by":"publisher","unstructured":"Ghosal, T., Chakraborty, A., Sonam, R., Ekbal, A., Saha, S., Bhattacharyya, P.: Incorporating full text and bibliographic features to improve scholarly journal recommendation. In: 2019 ACM\/IEEE Joint Conference on Digital Libraries (JCDL), pp. 374\u2013375. IEEE, Champaign, IL, USA (2019). https:\/\/doi.org\/10.1109\/JCDL.2019.00077","DOI":"10.1109\/JCDL.2019.00077"},{"key":"372_CR12","doi-asserted-by":"publisher","unstructured":"Zawali, A., Boukhris, I.: Academic venue recommendation based on refined cross domain. In: Intelligent Systems Design and Applications vol. 418, pp. 1188\u20131197. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-96308-8_110","DOI":"10.1007\/978-3-030-96308-8_110"},{"key":"372_CR13","doi-asserted-by":"publisher","first-page":"1139","DOI":"10.1016\/j.future.2019.11.017","volume":"110","author":"T Pradhan","year":"2020","unstructured":"Pradhan, T., Pal, S.: A hybrid personalized scholarly venue recommender system integrating social network analysis and contextual similarity. Futur. Gener. Comput. Syst. 110, 1139\u20131166 (2020). https:\/\/doi.org\/10.1016\/j.future.2019.11.017","journal-title":"Futur. Gener. Comput. Syst."},{"key":"372_CR14","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.jnca.2017.12.004","volume":"104","author":"S Yu","year":"2018","unstructured":"Yu, S., Liu, J., Yang, Z., Chen, Z., Jiang, H., Tolba, A., Xia, F.: PAVE: personalized academic venue recommendation exploiting co-publication networks. J. Netw. Comput. Appl. 104, 38\u201347 (2018). https:\/\/doi.org\/10.1016\/j.jnca.2017.12.004","journal-title":"J. Netw. Comput. Appl."},{"key":"372_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-022-04397-4","author":"N Vara","year":"2022","unstructured":"Vara, N., Mirzabeigi, M., Sotudeh, H., Fakhrahmad, S.M.: Application of k-means clustering algorithm to improve effectiveness of the results recommended by journal recommender system. Scientometrics (2022). https:\/\/doi.org\/10.1007\/s11192-022-04397-4","journal-title":"Scientometrics"},{"key":"372_CR16","unstructured":"Sch\u00e4fermeier, B., Stumme, G., Hanika, T.: Towards explainable scientific venue recommendations. arXiv:2109.11343 [cs] (2021)"},{"key":"372_CR17","doi-asserted-by":"publisher","unstructured":"Abbasi, I.I., Abbas, M.A., Hammad, S., Jilani, M.T., Ahmed, S., Nisa, S.U.: A hybrid approach for the recommendation of scholarly journals. In: 2020 International Conference on Information Science and Communication Technology (ICISCT), pp. 1\u20136. IEEE, KARACHI, Pakistan (2020). https:\/\/doi.org\/10.1109\/ICISCT49550.2020.9080032","DOI":"10.1109\/ICISCT49550.2020.9080032"},{"key":"372_CR18","doi-asserted-by":"publisher","unstructured":"Cuong, D.V., Nguyen, D.H., Huynh, S., Huynh, P., Gurrin, C., Dao, M.-S., Dang-Nguyen, D.-T., Nguyen, B.T.: A framework for paper submission recommendation system. In: Proceedings of the 2020 International Conference on Multimedia Retrieval, pp. 393\u2013396. ACM, Dublin Ireland (2020). https:\/\/doi.org\/10.1145\/3372278.3391929","DOI":"10.1145\/3372278.3391929"},{"key":"372_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.knosys.2018.05.001","volume":"157","author":"D Wang","year":"2018","unstructured":"Wang, D., Liang, Y., Xu, D., Feng, X., Guan, R.: A content-based recommender system for computer science publications. Knowl.-Based Syst. 157, 1\u20139 (2018). https:\/\/doi.org\/10.1016\/j.knosys.2018.05.001","journal-title":"Knowl.-Based Syst."},{"key":"372_CR20","doi-asserted-by":"publisher","unstructured":"Huynh, S.T., Huynh, P.T., Nguyen, D.H., Cuong, D.V., Nguyen, B.T.: S2RSCS: An efficient scientific submission recommendation system for computer science. In: Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices vol. 12144, pp. 186\u2013198. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-55789-8_17","DOI":"10.1007\/978-3-030-55789-8_17"},{"issue":"5","key":"372_CR21","doi-asserted-by":"publisher","first-page":"12957","DOI":"10.2196\/12957","volume":"21","author":"X Feng","year":"2019","unstructured":"Feng, X., Zhang, H., Ren, Y., Shang, P., Zhu, Y., Liang, Y., Guan, R., Xu, D.: The deep learning-based recommender system\"Pubmender\" for choosing a biomedical publication venue: development and validation study. J. Med. Internet Res. 21(5), 12957 (2019). https:\/\/doi.org\/10.2196\/12957","journal-title":"J. Med. Internet Res."},{"key":"372_CR22","doi-asserted-by":"publisher","unstructured":"Kobs, K., Koopmann, T., Zehe, A., Fernes, D., Krop, P., Hotho, A.: Where to submit? Helping researchers to choose the right venue. In: Findings of the association for computational linguistics: EMNLP 2020, pp. 878\u2013883. Association for Computational Linguistics, Online (2020). https:\/\/doi.org\/10.18653\/v1\/2020.findings-emnlp.78","DOI":"10.18653\/v1\/2020.findings-emnlp.78"},{"key":"372_CR23","doi-asserted-by":"publisher","unstructured":"Son, H.T., Tan\u00a0Phong, H., Dac, N.H.: An efficient approach for paper submission recommendation. In: 2020 IEEE Region 10 Conference (TENCON), pp. 726\u2013731. IEEE, Osaka, Japan (2020). https:\/\/doi.org\/10.1109\/TENCON50793.2020.9293909","DOI":"10.1109\/TENCON50793.2020.9293909"},{"key":"372_CR24","doi-asserted-by":"publisher","unstructured":"Kang, N., Doornenbal, M.A., Schijvenaars, R.J.A.: Elsevier journal finder: recommending journals for your paper. In: Proceedings of the 9th ACM Conference on Recommender Systems. RecSys \u201915, pp. 261\u2013264. Association for Computing Machinery, New York, NY, USA (2015). https:\/\/doi.org\/10.1145\/2792838.2799663","DOI":"10.1145\/2792838.2799663"},{"issue":"5","key":"372_CR25","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1093\/bioinformatics\/btn006","volume":"24","author":"MJ Schuemie","year":"2008","unstructured":"Schuemie, M.J., Kors, J.A.: Jane: suggesting journals, finding experts. Bioinformatics (Oxford, England) 24(5), 727\u2013728 (2008). https:\/\/doi.org\/10.1093\/bioinformatics\/btn006","journal-title":"Bioinformatics (Oxford, England)"},{"key":"372_CR26","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-022-04535-y","author":"E G\u00fcndo\u011fan","year":"2022","unstructured":"G\u00fcndo\u011fan, E., Kaya, M., Daud, A.: Deep learning for journal recommendation system of research papers. Scientometrics (2022). https:\/\/doi.org\/10.1007\/s11192-022-04535-y","journal-title":"Scientometrics"},{"issue":"5","key":"372_CR27","doi-asserted-by":"publisher","first-page":"2381","DOI":"10.1007\/s11192-022-04354-1","volume":"127","author":"H ZhengWei","year":"2022","unstructured":"ZhengWei, H., JinTao, M., YanNi, Y., Jin, H., Ye, T.: Recommendation method for academic journal submission based on doc2vec and XGBoost. Scientometrics 127(5), 2381\u20132394 (2022). https:\/\/doi.org\/10.1007\/s11192-022-04354-1","journal-title":"Scientometrics"},{"key":"372_CR28","doi-asserted-by":"publisher","unstructured":"Medvet, E., Bartoli, A., Piccinin, G.: Publication venue recommendation based on paper abstract. In: 2014 IEEE 26th International Conference on Tools with Artificial Intelligence, pp. 1004\u20131010. IEEE, Limassol, Cyprus (2014). https:\/\/doi.org\/10.1109\/ICTAI.2014.152","DOI":"10.1109\/ICTAI.2014.152"},{"key":"372_CR29","doi-asserted-by":"publisher","unstructured":"Ghosal, T., Chakraborty, A., Sonam, R., Ekbal, A., Saha, S., Bhattacharyya, P.: Incorporating full text and bibliographic features to improve scholarly journal recommendation. In: 2019 ACM\/IEEE Joint Conference on Digital Libraries (JCDL), pp. 374\u2013375. IEEE, Champaign, IL, USA (2019). https:\/\/doi.org\/10.1109\/JCDL.2019.00077","DOI":"10.1109\/JCDL.2019.00077"},{"key":"372_CR30","doi-asserted-by":"crossref","unstructured":"Huynh, S.T., Dang, N., Nguyen, D.H., Huynh, P.T., Nguyen, B.T.: FPSRS: A fusion approach for paper submission recommendation system. arXiv:2205.05965 [cs] (2022)","DOI":"10.1007\/s10489-022-04117-8"},{"key":"372_CR31","doi-asserted-by":"publisher","unstructured":"Ghosal, T., Raj, A., Ekbal, A., Saha, S., Bhattacharyya, P.: A deep multimodal investigation to determine the appropriateness of scholarly submissions. In: 2019 ACM\/IEEE Joint Conference on Digital Libraries (JCDL), pp. 227\u2013236. IEEE, Champaign, IL, USA (2019). https:\/\/doi.org\/10.1109\/JCDL.2019.00039","DOI":"10.1109\/JCDL.2019.00039"},{"key":"372_CR32","unstructured":"Eaton, M.: The last days of the Open Journal Matcher. https:\/\/kingsboroughlibtech.commons.gc.cuny.edu\/2022\/07\/29\/the-last-days-of-the-open-journal-matcher\/ Accessed 2022-11-09"},{"key":"372_CR33","doi-asserted-by":"publisher","unstructured":"Hartwig, J., Eppelin, A.: Which journal characteristics are crucial for scientists when selecting journals for their publications? Results Tables of an Online Survey. https:\/\/doi.org\/10.5281\/zenodo.5728148","DOI":"10.5281\/zenodo.5728148"},{"issue":"7548","key":"372_CR34","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1038\/520429a","volume":"520","author":"D Hicks","year":"2015","unstructured":"Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., Rafols, I.: Bibliometrics: The Leiden Manifesto for research metrics. Nature 520(7548), 429\u2013431 (2015). https:\/\/doi.org\/10.1038\/520429a","journal-title":"Nature"},{"key":"372_CR35","unstructured":"Directory of Open Access Journals. https:\/\/doaj.org\/ Accessed 2022-11-09"},{"key":"372_CR36","doi-asserted-by":"publisher","unstructured":"OpenCitations: COCI CSV dataset of all the citation data. figshare (2022). https:\/\/doi.org\/10.6084\/m9.figshare.6741422.v18","DOI":"10.6084\/m9.figshare.6741422.v18"},{"issue":"1","key":"372_CR37","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1007\/s11192-020-03690-4","volume":"126","author":"A Mart\u00edn-Mart\u00edn","year":"2021","unstructured":"Mart\u00edn-Mart\u00edn, A., Thelwall, M., Orduna-Malea, E., Delgado L\u00f3pez-C\u00f3zar, E.: Google scholar, microsoft academic, scopus, dimensions, web of science, and opencitations\u2019coci: a multidisciplinary comparison of coverage via citations. Scientometrics 126(1), 871\u2013906 (2021). https:\/\/doi.org\/10.1007\/s11192-020-03690-4","journal-title":"Scientometrics"},{"key":"372_CR38","unstructured":"Nishioka, C., F\u00e4rber, M.: Evaluating the availability of open citation data. In: Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019) Co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, July 25, 2019. CEUR Workshop Proceedings, vol. 2414, pp. 123\u2013129. CEUR-WS.org, Germany (2019)"},{"key":"372_CR39","unstructured":"Hannah Hope: Unboxing the Journal Checker Tool | Plan S. https:\/\/www.coalition-s.org\/blog\/unboxing-the-journal-checker-tool\/ Accessed 2022-06-01"},{"issue":"4","key":"372_CR40","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1561\/1500000019","volume":"3","author":"SE Robertson","year":"2009","unstructured":"Robertson, S.E., Zaragoza, H.: The probabilistic relevance framework: BM25 and beyond. Found. Trends Inf. Retr. 3(4), 333\u2013389 (2009). https:\/\/doi.org\/10.1561\/1500000019","journal-title":"Found. Trends Inf. Retr."},{"issue":"1","key":"372_CR41","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1002\/asi.5090140103","volume":"14","author":"MM Kessler","year":"1963","unstructured":"Kessler, M.M.: Bibliographic coupling between scientific papers. Am. Doc. 14(1), 10\u201325 (1963). https:\/\/doi.org\/10.1002\/asi.5090140103","journal-title":"Am. Doc."},{"issue":"5","key":"372_CR42","doi-asserted-by":"publisher","first-page":"0216126","DOI":"10.1371\/journal.pone.0216126","volume":"14","author":"MN Quang","year":"2019","unstructured":"Quang, M.N., Rogers, T., Hofman, J., Lanham, A.B.: New framework for automated article selection applied to a literature review of Enhanced Biological Phosphorus Removal. PLoS ONE 14(5), 0216126 (2019). https:\/\/doi.org\/10.1371\/journal.pone.0216126","journal-title":"PLoS ONE"},{"key":"372_CR43","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0216126.g001","author":"MN Quang","year":"2019","unstructured":"Quang, M.N., Rogers, T., Hofman, J., Lanham, A.B.: Difference between bibliographic coupling and co-citation. PLoS ONE (2019). https:\/\/doi.org\/10.1371\/journal.pone.0216126.g001","journal-title":"PLoS ONE"},{"key":"372_CR44","doi-asserted-by":"publisher","unstructured":"Beltagy, I., Lo, K., Cohan, A.: Scibert: A pretrained language model for scientific text. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, pp. 3613\u20133618. Association for Computational Linguistics, New York, NY, USA (2019). https:\/\/doi.org\/10.18653\/v1\/D19-1371","DOI":"10.18653\/v1\/D19-1371"},{"key":"372_CR45","doi-asserted-by":"publisher","unstructured":"G\u00fcndo\u011fan, E., Kaya, M., Daud, A.: Deep learning for journal recommendation system of research papers. Scientometrics, 1\u201321 (2022). https:\/\/doi.org\/10.1007\/s11192-022-04535-y","DOI":"10.1007\/s11192-022-04535-y"},{"key":"372_CR46","doi-asserted-by":"publisher","unstructured":"Conneau, A., Khandelwal, K., Goyal, N., Chaudhary, V., Wenzek, G., Guzm\u00e0n, F., Grave, E., Ott, M., Zettlemoyer, L., Stoyanov, V.: Unsupervised cross-lingual representation learning at scale. arXiv (2019). https:\/\/doi.org\/10.48550\/ARXIV.1911.02116","DOI":"10.48550\/ARXIV.1911.02116"},{"issue":"1","key":"372_CR47","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1002\/asi.20732","volume":"59","author":"L Leydesdorff","year":"2008","unstructured":"Leydesdorff, L.: On the normalization and visualization of author co-citation data: Salton\u2019s cosine versus the jaccard index. J. Assoc. Inf. Sci. Technol. 59(1), 77\u201385 (2008). https:\/\/doi.org\/10.1002\/asi.20732","journal-title":"J. Assoc. Inf. Sci. Technol."},{"key":"372_CR48","doi-asserted-by":"publisher","unstructured":"Pornprasit, C., Liu, X., Kertkeidkachorn, N., Kim, K.-S., Noraset, T., Tuarob, S.: Convcn: A cnn-based citation network embedding algorithm towards citation recommendation. In: Proceedings of the ACM\/IEEE Joint Conference on Digital Libraries in 2020. JCDL \u201920, pp. 433\u2013436. Association for Computing Machinery, New York, NY, USA (2020). https:\/\/doi.org\/10.1145\/3383583.3398609","DOI":"10.1145\/3383583.3398609"},{"key":"372_CR49","doi-asserted-by":"publisher","unstructured":"Ali, Z., Qi, G., Muhammad, K., Bhattacharyya, S., Ullah, I., Abro, W.: Citation recommendation employing heterogeneous bibliographic network embedding. Neural Computing and Applications, 1\u201314 (2021). https:\/\/doi.org\/10.1007\/s00521-021-06135-y","DOI":"10.1007\/s00521-021-06135-y"}],"container-title":["International Journal on Digital Libraries"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00799-023-00372-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00799-023-00372-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00799-023-00372-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T12:05:48Z","timestamp":1726833948000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00799-023-00372-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,20]]},"references-count":49,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["372"],"URL":"https:\/\/doi.org\/10.1007\/s00799-023-00372-3","relation":{},"ISSN":["1432-5012","1432-1300"],"issn-type":[{"type":"print","value":"1432-5012"},{"type":"electronic","value":"1432-1300"}],"subject":[],"published":{"date-parts":[[2023,7,20]]},"assertion":[{"value":"11 November 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 May 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 May 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 July 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"<i>Marco Tullney<\/i> is a volunteer associate editor for the Directory of Open Access Journals (DOAJ). <i>TIB-Leibniz Information Centre for Science and Technology<\/i> and <i>Saxon State and University Library<\/i> are supporters of the Directory of Open Access Journals (DOAJ).","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}