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Understanding the advisor–advisee relationship via scholarly data analysis

Author

Listed:
  • Jiaying Liu

    (Dalian University of Technology)

  • Tao Tang

    (University of Electronic Science and Technology of China)

  • Xiangjie Kong

    (Dalian University of Technology)

  • Amr Tolba

    (King Saud University
    Menoufia University)

  • Zafer AL-Makhadmeh

    (King Saud University)

  • Feng Xia

    (Dalian University of Technology)

Abstract

Advisor–advisee relationship is important in academic networks due to its universality and necessity. Despite the increasing desire to analyze the career of newcomers, however, the outcomes of different collaboration patterns between advisors and advisees remain unknown. The purpose of this paper is to find out the correlation between advisors’ academic characteristics and advisees’ academic performance in Computer Science. Employing both quantitative and qualitative analysis, we find that with the increase of advisors’ academic age, advisees’ performance experiences an initial growth, follows a sustaining stage, and finally ends up with a declining trend. We also discover the phenomenon that accomplished advisors can bring up skilled advisees. We explore the conclusion from two aspects: (1) Advisees mentored by advisors with high academic level have better academic performance than the rest; (2) Advisors with high academic level can raise their advisees’ h-index ranking. This work provides new insights on promoting our understanding of the relationship between advisors’ academic characteristics and advisees’ performance, as well as on advisor choosing.

Suggested Citation

  • Jiaying Liu & Tao Tang & Xiangjie Kong & Amr Tolba & Zafer AL-Makhadmeh & Feng Xia, 2018. "Understanding the advisor–advisee relationship via scholarly data analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 161-180, July.
    • Handle: RePEc:spr:scient:v:116:y:2018:i:1:d:10.1007_s11192-018-2762-2
    DOI: 10.1007/s11192-018-2762-2
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    1. Wolfgang Glänzel & Sarah Heeffer & Bart Thijs, 2017. "Lexical analysis of scientific publications for nano-level scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1897-1906, June.
    2. Wei Wang & Shuo Yu & Teshome Megersa Bekele & Xiangjie Kong & Feng Xia, 2017. "Scientific collaboration patterns vary with scholars’ academic ages," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 329-343, July.
    3. Pierre Azoulay, 2012. "Turn the scientific method on ourselves," Nature, Nature, vol. 484(7392), pages 31-32, April.
    4. Liviu Florea & Yu Cheung & Neil Herndon, 2013. "For All Good Reasons: Role of Values in Organizational Sustainability," Journal of Business Ethics, Springer, vol. 114(3), pages 393-408, May.
    5. Brian Owens, 2013. "Research assessments: Judgement day," Nature, Nature, vol. 502(7471), pages 288-290, October.
    6. Liv Langfeldt & Mats Benner & Gunnar Sivertsen & Ernst H. Kristiansen & Dag W. Aksnes & Siri Brorstad Borlaug & Hanne Foss Hansen & Egil Kallerud & Antti Pelkonen, 2015. "Excellence and growth dynamics: A comparative study of the Matthew effect," Science and Public Policy, Oxford University Press, vol. 42(5), pages 661-675.
    7. Nikos Bozionelos & Giorgos Bozionelos & Panagiotis Polychroniou & Konstantinos Kostopouplos, 2014. "Mentoring receipt and personality: Evidence for non-linear relationships," Post-Print hal-00911043, HAL.
    8. Bozionelos, Nikos & Bozionelos, Giorgos & Polychroniou, Panagiotis & Kostopoulos, Kostantinos, 2014. "Mentoring receipt and personality: Evidence for non-linear relationships," Journal of Business Research, Elsevier, vol. 67(2), pages 171-181.
    9. ., 2017. "Standing on the shoulders of giants," Chapters, in: Endogenous Innovation, chapter 1, pages 3-24, Edward Elgar Publishing.
    10. Amjad, Tehmina & Ding, Ying & Xu, Jian & Zhang, Chenwei & Daud, Ali & Tang, Jie & Song, Min, 2017. "Standing on the shoulders of giants," Journal of Informetrics, Elsevier, vol. 11(1), pages 307-323.
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