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Accuracy evaluation of Scopus Author ID based on the largest funding database in Japan

Citations

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Cited by:

  1. Ciriaco Andrea D’Angelo & Nees Jan Eck, 2020. "Collecting large-scale publication data at the level of individual researchers: a practical proposal for author name disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 883-907, May.
  2. Valeria Aman, 2018. "A new bibliometric approach to measure knowledge transfer of internationally mobile scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 227-247, October.
  3. Wang, Zhiqi & Chen, Yue & Glänzel, Wolfgang, 2020. "Preprints as accelerator of scholarly communication: An empirical analysis in Mathematics," Journal of Informetrics, Elsevier, vol. 14(4).
  4. Momeni, Fakhri & Karimi, Fariba & Mayr, Philipp & Peters, Isabella & Dietze, Stefan, 2022. "The many facets of academic mobility and its impact on scholars' career," Journal of Informetrics, Elsevier, vol. 16(2).
  5. Paul Sebo & Sylvain de Lucia & Nathalie Vernaz, 2021. "Accuracy of PubMed-based author lists of publications and use of author identifiers to address author name ambiguity: a cross-sectional study," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4121-4135, May.
  6. Jinseok Kim & Jason Owen-Smith, 2021. "ORCID-linked labeled data for evaluating author name disambiguation at scale," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2057-2083, March.
  7. Andrea Fronzetti Colladon & Ciriaco Andrea D’Angelo & Peter A. Gloor, 2020. "Predicting the future success of scientific publications through social network and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 357-377, July.
  8. Domenico A. Maisano & Luca Mastrogiacomo & Fiorenzo Franceschini, 2023. "Empirical evidence on the relationship between research and teaching in academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4475-4507, August.
  9. Jaime A. Teixeira da Silva & Judit Dobránszki, 2018. "Rejoinder to “Multiple versions of the h-index: cautionary use for formal academic purposes”," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1131-1137, May.
  10. Mike Thelwall, 2020. "Mid-career field switches reduce gender disparities in academic publishing," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1365-1383, June.
  11. Liu, Meijun & Hu, Xiao, 2021. "Will collaborators make scientists move? A Generalized Propensity Score analysis," Journal of Informetrics, Elsevier, vol. 15(1).
  12. Asli Ebru Şanlitürk & Samin Aref & Emilio Zagheni & Francesco C. Billari, 2022. "Homecoming after Brexit: evidence on academic migration from bibliometric data," MPIDR Working Papers WP-2022-019, Max Planck Institute for Demographic Research, Rostock, Germany.
  13. Xinyi Zhao & Samin Aref & Emilio Zagheni & Guy Stecklov, 2022. "Return migration of German-affiliated researchers: analyzing departure and return by gender, cohort, and discipline using Scopus bibliometric data 1996–2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7707-7729, December.
  14. Mahsa Kaveh & Mahdieh Mirzabeigi & Hajar Sotudeh & Amirsaeid Moloodi, 2022. "The effects of the challenges in the transliteration of Persian names into English on the recall of retrieved results in the web of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 1099-1128, February.
  15. Liang, Zhentao & Ba, Zhichao & Mao, Jin & Li, Gang, 2023. "Research complexity increases with scientists’ academic age: Evidence from library and information science," Journal of Informetrics, Elsevier, vol. 17(1).
  16. Jinseok Kim & Jenna Kim & Jason Owen‐Smith, 2021. "Ethnicity‐based name partitioning for author name disambiguation using supervised machine learning," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(8), pages 979-994, August.
  17. Alexander Subbotin & Samin Aref, 2021. "Brain drain and brain gain in Russia: Analyzing international migration of researchers by discipline using Scopus bibliometric data 1996–2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7875-7900, September.
  18. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
  19. Jan Schulz, 2016. "Using Monte Carlo simulations to assess the impact of author name disambiguation quality on different bibliometric analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1283-1298, June.
  20. Zhang, Lin & Qi, Fan & Sivertsen, Gunnar & Liang, Liming & Campbell, David, 2023. "Gender differences in the patterns and consequences of changing specialization in scientific careers," SocArXiv ep5bx, Center for Open Science.
  21. Liu, Meijun & Hu, Xiao, 2022. "Movers’ advantages: The effect of mobility on scientists’ productivity and collaboration," Journal of Informetrics, Elsevier, vol. 16(3).
  22. Jinseok Kim, 2018. "Evaluating author name disambiguation for digital libraries: a case of DBLP," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1867-1886, September.
  23. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
  24. Valeria Aman, 2018. "Does the Scopus author ID suffice to track scientific international mobility? A case study based on Leibniz laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 705-720, November.
  25. Chang, Ying-Han & Huang, Mu-Hsuan, 2023. "Analysis of factors affecting scientific migration move and distance by academic age, migrant type, and country: Migrant researchers in the field of business and management," Journal of Informetrics, Elsevier, vol. 17(1).
  26. Jeppe Nicolaisen & Tove Faber Frandsen, 2022. "Epistemic community formation: a bibliometric study of recurring authors in medical journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4167-4189, July.
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