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Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects

Author

Listed:
  • Kamal Badar
  • Julie M. Hite
  • Naeem Ashraf

    (MRM - Montpellier Research in Management - UPVM - Université Paul-Valéry - Montpellier 3 - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School - UM - Université de Montpellier)

Abstract

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Suggested Citation

  • Kamal Badar & Julie M. Hite & Naeem Ashraf, 2015. "Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects," Post-Print hal-02945454, HAL.
    • Handle: RePEc:hal:journl:hal-02945454
    DOI: 10.1007/s11192-015-1652-0
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    Citations

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    Cited by:

    1. Marian-Gabriel Hâncean & Matjaž Perc & Jürgen Lerner, 2021. "The coauthorship networks of the most productive European researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 201-224, January.
    2. Yan Yan & Jiancheng Guan, 2018. "How multiple networks help in creating knowledge: evidence from alternative energy patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 51-77, April.
    3. Jing Tu, 2019. "What connections lead to good scientific performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 587-604, February.
    4. Konda, Bruhan & González‐Sauri, Mario & Cowan, Robin & Yashodha, Yashodha & Chellattan Veettil, Prakashan, 2021. "Social networks and agricultural performance: A multiplex analysis of interactions among Indian rice farmers," MERIT Working Papers 2021-030, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Yanqing Shi & Si Chen & Lele Kang, 2021. "Which questions are valuable in online Q&A communities? A question’s position in a knowledge network matters," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8239-8258, October.
    6. 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.
    7. Zhu, Nibing & Liu, Chang & Yang, Zhilin, 2021. "Team Size, Research Variety, and Research Performance: Do Coauthors’ Coauthors Matter?," Journal of Informetrics, Elsevier, vol. 15(4).
    8. Fernando Martín-Alcázar & Marta Ruiz-Martínez & Gonzalo Sánchez-Gardey, 2019. "Assessing social capital in academic research teams: a measurement instrument proposal," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 917-935, November.
    9. Isabel Diez-Vial & Angeles Montoro-Sanchez, 2017. "Research evolution in science parks and incubators: foundations and new trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1243-1272, March.
    10. Thomas C. Erren & J. Valérie Groß, 2016. "Research metrics: What about weighted citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 315-316, April.
    11. Ramakrishnan Ramanathan, 2018. "Understanding Complexity: the Curvilinear Relationship Between Environmental Performance and Firm Performance," Journal of Business Ethics, Springer, vol. 149(2), pages 383-393, May.
    12. Mengyang Wang & Lihe Chai, 2018. "Three new bibliometric indicators/approaches derived from keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 721-750, August.
    13. Liu, Meijun & Jaiswal, Ajay & Bu, Yi & Min, Chao & Yang, Sijie & Liu, Zhibo & Acuña, Daniel & Ding, Ying, 2022. "Team formation and team impact: The balance between team freshness and repeat collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
    14. Yun Liu & Mengya Zhang & Gupeng Zhang & Xiongxiong You, 2022. "Scientific elites versus other scientists: who are better at taking advantage of the research collaboration network?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3145-3166, June.

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