IDEAS home Printed from https://ideas.repec.org/r/bla/jamist/v63y2012i9p1820-1833.html
   My bibliography  Save this item

Author name disambiguation: What difference does it make in author‐based citation analysis?

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. 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.
  2. 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.
  3. Jinseok Kim & Liang Tao & Seok-Hyoung Lee & Jana Diesner, 2016. "Evolution and structure of scientific co-publishing network in Korea between 1948–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 27-41, April.
  4. Uyen-Phuong Nguyen & Philip Hallinger, 2020. "Assessing the Distinctive Contributions of Simulation & Gaming to the Literature, 1970-2019: A Bibliometric Review," Simulation & Gaming, , vol. 51(6), pages 744-769, December.
  5. Jinseok Kim, 2019. "A fast and integrative algorithm for clustering performance evaluation in author name disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 661-681, August.
  6. Xuan Zhen Liu & Hui Fang, 2014. "Scientific group leaders’ authorship preferences: an empirical investigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 909-925, February.
  7. Jinseok Kim & Jinmo Kim & Jason Owen-Smith, 2019. "Generating automatically labeled data for author name disambiguation: an iterative clustering method," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 253-280, January.
  8. Richard B. Freeman & Wei Huang, 2015. "Collaborating with People Like Me: Ethnic Coauthorship within the United States," Journal of Labor Economics, University of Chicago Press, vol. 33(S1), pages 289-318.
  9. Rehs, Andreas, 2021. "A supervised machine learning approach to author disambiguation in the Web of Science," Journal of Informetrics, Elsevier, vol. 15(3).
  10. 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.
  11. Maxim Kotsemir & Sergey Shashnov, 2017. "Measuring, analysis and visualization of research capacity of university at the level of departments and staff members," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1659-1689, September.
  12. Anne-Wil Harzing, 2015. "Health warning: might contain multiple personalities—the problem of homonyms in Thomson Reuters Essential Science Indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2259-2270, December.
  13. Helena Mihaljević & Lucía Santamaría, 2021. "Disambiguation of author entities in ADS using supervised learning and graph theory methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3893-3917, May.
  14. Hao Wu & Bo Li & Yijian Pei & Jun He, 2014. "Unsupervised author disambiguation using Dempster–Shafer theory," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1955-1972, December.
  15. Yang, Siluo & Wang, Feifei, 2015. "Visualizing information science: Author direct citation analysis in China and around the world," Journal of Informetrics, Elsevier, vol. 9(1), pages 208-225.
  16. Shuiqing Huang & Bo Yang & Sulan Yan & Ronald Rousseau, 2014. "Institution name disambiguation for research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 823-838, June.
  17. Mike Thelwall, 2020. "Mid-career field switches reduce gender disparities in academic publishing," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1365-1383, June.
  18. Liu, Meijun & Hu, Xiao, 2021. "Will collaborators make scientists move? A Generalized Propensity Score analysis," Journal of Informetrics, Elsevier, vol. 15(1).
  19. Hanane Rhomad & Karima Khalil & Khalid Elkalay, 2023. "Water Quality Modeling in Atlantic Region: Review, Science Mapping and Future Research Directions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 451-499, January.
  20. Chengliang Wang & Xiaojiao Chen & Teng Yu & Yidan Liu & Yuhui Jing, 2024. "Education reform and change driven by digital technology: a bibliometric study from a global perspective," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
  21. Giovanni Colavizza & Iain Hrynaszkiewicz & Isla Staden & Kirstie Whitaker & Barbara McGillivray, 2020. "The citation advantage of linking publications to research data," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-18, April.
  22. Lutz Bornmann & Werner Marx, 2014. "How to evaluate individual researchers working in the natural and life sciences meaningfully? A proposal of methods based on percentiles of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 487-509, January.
  23. Peng Bao & Chengxiang Zhai, 2017. "Dynamic credit allocation in scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 595-606, July.
  24. Alexander Karlsson & Björn Hammarfelt & H. Joe Steinhauer & Göran Falkman & Nasrine Olson & Gustaf Nelhans & Jan Nolin, 2015. "Modeling uncertainty in bibliometrics and information retrieval: an information fusion approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2255-2274, March.
  25. Dangzhi Zhao & Andreas Strotmann, 2020. "Telescopic and panoramic views of library and information science research 2011–2018: a comparison of four weighting schemes for author co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 255-270, July.
  26. Jung, Sukhwan & Yoon, Wan Chul, 2020. "An alternative topic model based on Common Interest Authors for topic evolution analysis," Journal of Informetrics, Elsevier, vol. 14(3).
  27. 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.
  28. Freeman, Richard B. & Huang, Wei, 2014. "Collaborating With People Like Me: Ethnic Co-authorship within the US," IZA Discussion Papers 8432, Institute of Labor Economics (IZA).
  29. Xie, Qing & Zhang, Xinyuan & Song, Min, 2021. "A network embedding-based scholar assessment indicator considering four facets: Research topic, author credit allocation, field-normalized journal impact, and published time," Journal of Informetrics, Elsevier, vol. 15(4).
  30. 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.
  31. Milojević, Staša, 2013. "Accuracy of simple, initials-based methods for author name disambiguation," Journal of Informetrics, Elsevier, vol. 7(4), pages 767-773.
  32. Kim, Jinseok & Diesner, Jana, 2015. "The effect of data pre-processing on understanding the evolution of collaboration networks," Journal of Informetrics, Elsevier, vol. 9(1), pages 226-236.
  33. Carlo Dindorf & Eva Bartaguiz & Freya Gassmann & Michael Fröhlich, 2022. "Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review," IJERPH, MDPI, vol. 20(1), pages 1-23, December.
  34. Hirotaka Kawashima & Hiroyuki Tomizawa, 2015. "Accuracy evaluation of Scopus Author ID based on the largest funding database in Japan," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1061-1071, June.
  35. 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.
  36. Yuhui Jing & Leying Zhao & Keke Zhu & Haoming Wang & Chengliang Wang & Qi Xia, 2023. "Research Landscape of Adaptive Learning in Education: A Bibliometric Study on Research Publications from 2000 to 2022," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
  37. 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.
  38. Song, Min & Kim, Erin Hea-Jin & Kim, Ha Jin, 2015. "Exploring author name disambiguation on PubMed-scale," Journal of Informetrics, Elsevier, vol. 9(4), pages 924-941.
  39. Mi Zhou & Biyu Bian & Weiming Zhu & Li Huang, 2021. "A Half Century of Research on Childhood and Adolescent Depression: Science Mapping the Literature, 1970 to 2019," IJERPH, MDPI, vol. 18(18), pages 1-20, September.
  40. Hao Wang & Hua-Wei Shen & Xue-Qi Cheng, 2016. "Scientific credit diffusion: Researcher level or paper level?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 827-837, November.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.