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Bibliometric fingerprints: name disambiguation based on approximate structure equivalence of cognitive maps

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Cited by:

  1. Jian Wang & Kaspars Berzins & Diana Hicks & Julia Melkers & Fang Xiao & Diogo Pinheiro, 2012. "A boosted-trees method for name disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 391-411, November.
  2. Jinseok Kim & Jenna Kim, 2018. "The impact of imbalanced training data on machine learning for author name disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 511-526, October.
  3. Cornelius J. König & Clemens B. Fell & Linus Kellnhofer & Gabriel Schui, 2015. "Are there gender differences among researchers from industrial/organizational psychology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1931-1952, December.
  4. Sameer Kumar & Jariah Mohd. Jan, 2014. "Research collaboration networks of two OIC nations: comparative study between Turkey and Malaysia in the field of ‘Energy Fuels’, 2009–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 387-414, January.
  5. Diego R. Amancio & Osvaldo N. Oliveira jr & Luciano F. Costa, 2015. "Topological-collaborative approach for disambiguating authors’ names in collaborative networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 465-485, January.
  6. Keith Head & Yao Amber Li & Asier Minondo, 2019. "Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 713-727, October.
  7. Christopher McCarty & James W. Jawitz & Allison Hopkins & Alex Goldman, 2013. "Predicting author h-index using characteristics of the co-author network," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 467-483, August.
  8. Michele Pezzoni & Francesco Lissoni & Gianluca Tarasconi, 2014. "How to kill inventors: testing the Massacrator© algorithm for inventor disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 477-504, October.
  9. Thomas Gurney & Edwin Horlings & Peter van den Besselaar, 2012. "Author disambiguation using multi-aspect similarity indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 435-449, May.
  10. Wu, Jiang, 2013. "Investigating the universal distributions of normalized indicators and developing field-independent index," Journal of Informetrics, Elsevier, vol. 7(1), pages 63-71.
  11. Liu, Weishu & Hu, Guangyuan & Tang, Li, 2018. "Missing author address information in Web of Science—An explorative study," Journal of Informetrics, Elsevier, vol. 12(3), pages 985-997.
  12. Heo, Go Eun & Ko, Young Soo & Xie, Qing & Song, Min, 2023. "High acknowledgement index: Characterizing research supporters with factors of acknowledgement affecting paper citation counts," Journal of Informetrics, Elsevier, vol. 17(4).
  13. Abdelghani Maddi & Lesya Baudoin, 2022. "The quality of the web of science data: a longitudinal study on the completeness of authors-addresses links," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6279-6292, November.
  14. Jiang Wu & Xiu-Hao Ding, 2013. "Author name disambiguation in scientific collaboration and mobility cases," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 683-697, September.
  15. Deyun Yin & Kazuyuki Motohashi & Jianwei Dang, 2020. "Large-scale name disambiguation of Chinese patent inventors (1985–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 765-790, February.
  16. Agrawal, Ajay & McHale, John & Oettl, Alexander, 2019. "Does scientist immigration harm US science? An examination of the knowledge spillover channel," Research Policy, Elsevier, vol. 48(5), pages 1248-1259.
  17. Ajay Agrawal & John McHale & Alexander Oettl, 2014. "Collaboration, Stars, and the Changing Organization of Science: Evidence from Evolutionary Biology," NBER Chapters, in: The Changing Frontier: Rethinking Science and Innovation Policy, pages 75-102, National Bureau of Economic Research, Inc.
  18. Ajay Agrawal & John McHale & Alex Oettl, 2018. "Does Scientist Immigration Harm US Science? An Examination of Spillovers," NBER Working Papers 24519, National Bureau of Economic Research, Inc.
  19. Malwina Mejer, 2012. "Academic Patenting in Belgium:Methodology and Evidence," Working Papers TIMES² 2013-003, ULB -- Universite Libre de Bruxelles.
  20. Milojević, Staša, 2013. "Accuracy of simple, initials-based methods for author name disambiguation," Journal of Informetrics, Elsevier, vol. 7(4), pages 767-773.
  21. Li Tang & Philip Shapira, 2011. "Regional development and interregional collaboration in the growth of nanotechnology research in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 299-315, February.
  22. Wang, Guoyan & Hu, Guangyuan & Li, Chuanfeng & Tang, Li, 2018. "Long live the scientists: Tracking the scientific fame of great minds in physics," Journal of Informetrics, Elsevier, vol. 12(4), pages 1089-1098.
  23. Alison M. J. Buchan & Eva Jurczyk & Ruth Isserlin & Gary D. Bader, 2016. "Global neuroscience and mental health research: a bibliometrics case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 515-531, October.
  24. Li Tang & Philip Shapira, 2011. "China–US scientific collaboration in nanotechnology: patterns and dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 1-16, July.
  25. Li, Guan-Cheng & Lai, Ronald & D’Amour, Alexander & Doolin, David M. & Sun, Ye & Torvik, Vetle I. & Yu, Amy Z. & Fleming, Lee, 2014. "Disambiguation and co-authorship networks of the U.S. patent inventor database (1975–2010)," Research Policy, Elsevier, vol. 43(6), pages 941-955.
  26. Lee, You-Na & Walsh, John P. & Wang, Jian, 2015. "Creativity in scientific teams: Unpacking novelty and impact," Research Policy, Elsevier, vol. 44(3), pages 684-697.
  27. Yuta Kikuchi & Ryo Nakajima, 2016. "Evaluating Professor Value-added: Evidence from Professor and Student Matching in Physics," Keio-IES Discussion Paper Series 2016-002, Institute for Economics Studies, Keio University.
  28. Conti, Annamaria & Liu, Christopher C., 2015. "Bringing the lab back in: Personnel composition and scientific output at the MIT Department of Biology," Research Policy, Elsevier, vol. 44(9), pages 1633-1644.
  29. Yuta Kikuchi & Ryo Nakajima, 2017. "Evaluating Professor Value-added: Evidence from Professor and Student Matching in Physics," Keio-IES Discussion Paper Series 2017-007, Institute for Economics Studies, Keio University.
  30. Rehs, Andreas, 2021. "A supervised machine learning approach to author disambiguation in the Web of Science," Journal of Informetrics, Elsevier, vol. 15(3).
  31. Tang, Li, 2013. "Does “birds of a feather flock together” matter—Evidence from a longitudinal study on US–China scientific collaboration," Journal of Informetrics, Elsevier, vol. 7(2), pages 330-344.
  32. Malwina Mejer, 2011. "Entrepreneurial Scientists and their Publication Performance. An Insight from Belgium," Working Papers ECARES ECARES 2011-017, ULB -- Universite Libre de Bruxelles.
  33. Liu, Meijun & Hu, Xiao, 2021. "Will collaborators make scientists move? A Generalized Propensity Score analysis," Journal of Informetrics, Elsevier, vol. 15(1).
  34. Ventura, Samuel L. & Nugent, Rebecca & Fuchs, Erica R.H., 2015. "Seeing the non-stars: (Some) sources of bias in past disambiguation approaches and a new public tool leveraging labeled records," Research Policy, Elsevier, vol. 44(9), pages 1672-1701.
  35. Zhao, Zhenyue & Bu, Yi & Kang, Lele & Min, Chao & Bian, Yiyang & Tang, Li & Li, Jiang, 2020. "An investigation of the relationship between scientists’ mobility to/from China and their research performance," Journal of Informetrics, Elsevier, vol. 14(2).
  36. Omar Hernando Avila-Poveda, 2014. "Technical report: the trend of author compound names and its implications for authorship identity identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 833-846, October.
  37. Ajay K. Agrawal & John McHale & Alex Oettl, 2014. "Why Stars Matter," NBER Working Papers 20012, National Bureau of Economic Research, Inc.
  38. Liu, Weishu, 2021. "Caveats for the use of Web of Science Core Collection in old literature retrieval and historical bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
  39. Jan Youtie & Stephen Carley & Alan L. Porter & Philip Shapira, 2017. "Tracking researchers and their outputs: new insights from ORCIDs," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 437-453, October.
  40. Hongqi Han & Changqing Yao & Yuan Fu & Yongsheng Yu & Yunliang Zhang & Shuo Xu, 2017. "Semantic fingerprints-based author name disambiguation in Chinese documents," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1879-1896, June.
  41. Sameer Kumar & Jariah Mohd. Jan, 2013. "Mapping research collaborations in the business and management field in Malaysia, 1980–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 491-517, December.
  42. Agrawal, Ajay & McHale, John & Oettl, Alexander, 2017. "How stars matter: Recruiting and peer effects in evolutionary biology," Research Policy, Elsevier, vol. 46(4), pages 853-867.
  43. Wolfgang Glänzel & Sarah Heeffer & Bart Thijs, 2016. "A triangular model for publication and citation statistics of individual authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 857-872, May.
  44. Yasuhiro Yamashita & Daisuke Yoshinaga, 2014. "Influence of researchers’ international mobilities on publication: a comparison of highly cited and uncited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1475-1489, November.
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