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Understanding success through the diversity of collaborators and the milestone of career

Author

Listed:
  • Yi Bu
  • Ying Ding
  • Jian Xu
  • Xingkun Liang
  • Gege Gao
  • Yiming Zhao

Abstract

Scientific collaboration is vital to many fields, and it is common to see scholars seek out experienced researchers or experts in a domain with whom they can share knowledge, experience, and resources. To explore the diversity of research collaborations, this article performs a temporal analysis on the scientific careers of researchers in the field of computer science. Specifically, we analyze collaborators using 2 indicators: the research topic diversity, measured by the Author†Conference†Topic model and cosine, and the impact diversity, measured by the normalized standard deviation of h†indices. We find that the collaborators of high†impact researchers tend to study diverse research topics and have diverse h†indices. Moreover, by setting PhD graduation as an important milestone in researchers' careers, we examine several indicators related to scientific collaboration and their effects on a career. The results show that collaborating with authoritative authors plays an important role prior to a researcher's PhD graduation, but working with non†authoritative authors carries more weight after PhD graduation.

Suggested Citation

  • Yi Bu & Ying Ding & Jian Xu & Xingkun Liang & Gege Gao & Yiming Zhao, 2018. "Understanding success through the diversity of collaborators and the milestone of career," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(1), pages 87-97, January.
  • Handle: RePEc:bla:jinfst:v:69:y:2018:i:1:p:87-97
    DOI: 10.1002/asi.23911
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    Cited by:

    1. Tehmina Amjad & Yusra Rehmat & Ali Daud & Rabeeh Ayaz Abbasi, 2020. "Scientific impact of an author and role of self-citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 915-932, February.
    2. Li, Xin & Tang, Xuli, 2021. "Characterizing interdisciplinarity in drug research: A translational science perspective," Journal of Informetrics, Elsevier, vol. 15(4).
    3. Yu, Xiaoyao & Szymanski, Boleslaw K. & Jia, Tao, 2021. "Become a better you: Correlation between the change of research direction and the change of scientific performance," Journal of Informetrics, Elsevier, vol. 15(3).
    4. Zhang, Yang & Wang, Yang & Du, Haifeng & Havlin, Shlomo, 2024. "Delayed citation impact of interdisciplinary research," Journal of Informetrics, Elsevier, vol. 18(1).
    5. Zhu, Yongjun & Kim, Donghun & Jiang, Ting & Zhao, Yi & He, Jiangen & Chen, Xinyi & Lou, Wen, 2024. "Dependency, reciprocity, and informal mentorship in predicting long-term research collaboration: A co-authorship matrix-based multivariate time series analysis," Journal of Informetrics, Elsevier, vol. 18(1).
    6. Liu, Meijun & Hu, Xiao, 2021. "Will collaborators make scientists move? A Generalized Propensity Score analysis," Journal of Informetrics, Elsevier, vol. 15(1).
    7. Lei Hou & Jiashan Luo & Xue Pan, 2022. "Research Topic Specialization of Universities in Information Science and Library Science and Its Impact on Inter-University Collaboration," Sustainability, MDPI, vol. 14(15), pages 1-14, July.
    8. Frode Eika Sandnes, 2021. "A bibliometric study of human–computer interaction research activity in the Nordic-Baltic Eight countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4733-4767, June.
    9. Huang, Shengzhi & Huang, Yong & Bu, Yi & Luo, Zhuoran & Lu, Wei, 2023. "Disclosing the interactive mechanism behind scientists’ topic selection behavior from the perspective of the productivity and the impact," Journal of Informetrics, Elsevier, vol. 17(2).
    10. Zuo, Zhiya & Zhao, Kang, 2018. "The more multidisciplinary the better? – The prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions," Journal of Informetrics, Elsevier, vol. 12(3), pages 736-756.
    11. Rodrigo Dorantes-Gilardi & Aurora A. Ramírez-Álvarez & Diana Terrazas-Santamaría, 2023. "Is there a differentiated gender effect of collaboration with super-cited authors? Evidence from junior researchers in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2317-2336, April.
    12. Evelyn Eika & Frode Eika Sandnes, 2022. "Starstruck by journal prestige and citation counts? On students’ bias and perceptions of trustworthiness according to clues in publication references," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6363-6390, November.
    13. Zuo, Zhiya & Zhao, Kang & Ni, Chaoqun, 2019. "Standing on the shoulders of giants?—Faculty hiring in information schools," Journal of Informetrics, Elsevier, vol. 13(1), pages 341-353.
    14. Dong, Ke & Wu, Jiang & Wang, Kaili, 2021. "On the inequality of citation counts of all publications of individual authors," Journal of Informetrics, Elsevier, vol. 15(4).

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