ORCID-linked labeled data for evaluating author name disambiguation at scale
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DOI: 10.1007/s11192-020-03826-6
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Citations
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Cited by:
- Jaime A. Teixeira da Silva, 2021. "Abuse of ORCID’s weaknesses by authors who use paper mills," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6119-6125, July.
- Li Zhang & Wei Lu & Jinqing Yang, 2023. "LAGOS‐AND: A large gold standard dataset for scholarly author name disambiguation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(2), pages 168-185, February.
- Humaira Waqas & Abdul Qadir, 2022. "Completing features for author name disambiguation (AND): an empirical analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 1039-1063, February.
- Brito, Ana C.M. & Silva, Filipi N. & Amancio, Diego R., 2021. "Associations between author-level metrics in subsequent time periods," Journal of Informetrics, Elsevier, vol. 15(4).
- 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.
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Keywords
Author name disambiguation; Labeled data; ORCID; Record linkage; Author-ity2009;All these keywords.
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