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A bilateral comparison of research performance at an institutional level

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  • Jiancheng Guan

    (University of Chinese Academy of Sciences
    Fudan University)

  • He Wei

    (University of Chinese Academy of Sciences)

Abstract

An extensive body of research indicated that the USA and China were the first two largest producers in the nanoscience and nanotechnology field while China performed better than USA in terms of quantity; it had produced inferior quality publications. Yet, no studies investigated whether the specific institutions are consistent with these conclusions or not. In this study, we identify two institutions National Center for Nanoscience and Technology (NCNST) from China and University of California Los Angeles-California Nanosystems Institute (CNSI) from the USA) and compare their scientific research. Further, we develop and exploit a novel and updated dataset on paper co-authorship to assess their scientific research. Our analysis reveals NCNST has many advantages in regards to author and paper quantities, growth rate and the strength of collaborations but loses dominance with respect to research quality. We do find that the collaboration networks of both NCNST and CNSI have small-world and scale-free properties. Besides, the analysis of knowledge networks shows that they have similar research interests or hotspots. Using statistical models, we test and discover that degree centrality has a significant inverted-U shape effect on scientific output and influence. However, we fail to find any significant effect of structural holes.

Suggested Citation

  • Jiancheng Guan & He Wei, 2015. "A bilateral comparison of research performance at an institutional level," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 147-173, July.
  • Handle: RePEc:spr:scient:v:104:y:2015:i:1:d:10.1007_s11192-015-1599-1
    DOI: 10.1007/s11192-015-1599-1
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    as
    1. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 581-603, December.
    2. Abbasi, Alireza & Hossain, Liaquat & Leydesdorff, Loet, 2012. "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 403-412.
    3. Kostoff, Ronald N., 2012. "China/USA nanotechnology research output comparison—2011 update," Technological Forecasting and Social Change, Elsevier, vol. 79(5), pages 986-990.
    4. Corey C. Phelps & Ralph Heidl & Anu Wadhwa, 2012. "Networks, knowledge, and knowledge networks: A critical review and research agenda," Post-Print hal-00715591, HAL.
    5. Simon Rodan & Charles Galunic, 2004. "More than network structure: how knowledge heterogeneity influences managerial performance and innovativeness," Strategic Management Journal, Wiley Blackwell, vol. 25(6), pages 541-562, June.
    6. Loet Leydesdorff & Caroline Wagner, 2009. "Is the United States losing ground in science? A global perspective on the world science system," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 23-36, January.
    7. Ronald N. Kostoff & Raymond G. Koytcheff & Clifford G. Y. Lau, 2007. "Global nanotechnology research metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 565-601, March.
    8. Jonathan Adams, 2012. "The rise of research networks," Nature, Nature, vol. 490(7420), pages 335-336, October.
    9. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    10. Giulio Cainelli & Mario A. Maggioni & T. Erika Uberti & Annunziata Felice, 2015. "The strength of strong ties: How co-authorship affect productivity of academic economists?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 673-699, January.
    11. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
    12. Guan, Jiancheng & Ma, Nan, 2007. "China's emerging presence in nanoscience and nanotechnology: A comparative bibliometric study of several nanoscience `giants'," Research Policy, Elsevier, vol. 36(6), pages 880-886, July.
    13. Rotolo, Daniele & Messeni Petruzzelli, Antonio, 2013. "When does centrality matter? Scientific productivity and the moderating role of research specialization and cross-community ties," MPRA Paper 53406, University Library of Munich, Germany.
    14. Chen, Zifeng & Guan, Jiancheng, 2010. "The impact of small world on innovation: An empirical study of 16 countries," Journal of Informetrics, Elsevier, vol. 4(1), pages 97-106.
    15. Jonathan Adams, 2013. "The fourth age of research," Nature, Nature, vol. 497(7451), pages 557-560, May.
    16. 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.
    17. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    18. Gonzalez-Brambila, Claudia N. & Veloso, Francisco M. & Krackhardt, David, 2013. "The impact of network embeddedness on research output," Research Policy, Elsevier, vol. 42(9), pages 1555-1567.
    19. Duk Hee Lee & Il Won Seo & Ho Chull Choe & Hee Dae Kim, 2012. "Collaboration network patterns and research performance: the case of Korean public research institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 925-942, June.
    20. Xianwen Wang & Shenmeng Xu & Di Liu & Yongxia Liang, 2012. "The role of Chinese–American scientists in China–US scientific collaboration: a study in nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 737-749, June.
    21. Kiran Savanur & R. Srikanth, 2010. "Modified collaborative coefficient: a new measure for quantifying the degree of research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 365-371, August.
    22. Xianwen Wang & Shenmeng Xu & Zhi Wang & Lian Peng & Chuanli Wang, 2013. "International scientific collaboration of China: collaborating countries, institutions and individuals," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 885-894, June.
    23. R. S. Bajwa & K. Yaldram & S. Rafique, 2013. "A scientometric assessment of research output in nanoscience and nanotechnology: Pakistan perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 333-342, January.
    24. Andrew V. Shipilov, 2009. "Firm Scope Experience, Historic Multimarket Contact with Partners, Centrality, and the Relationship Between Structural Holes and Performance," Organization Science, INFORMS, vol. 20(1), pages 85-106, February.
    25. R. Karpagam & S. Gopalakrishnan & M. Natarajan & B. Ramesh Babu, 2011. "Mapping of nanoscience and nanotechnology research in India: a scientometric analysis, 1990–2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 501-522, November.
    26. Jiancheng Guan & Xia Gao, 2008. "Comparison and evaluation of Chinese research performance in the field of bioinformatics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 357-379, May.
    27. Jeongsik “Jay” Lee, 2010. "Heterogeneity, Brokerage, and Innovative Performance: Endogenous Formation of Collaborative Inventor Networks," Organization Science, INFORMS, vol. 21(4), pages 804-822, August.
    28. Wang, Gangbo & Guan, Jiancheng, 2010. "The role of patenting activity for scientific research: A study of academic inventors from China's nanotechnology," Journal of Informetrics, Elsevier, vol. 4(3), pages 338-350.
    29. Zhou, Ping & Leydesdorff, Loet, 2006. "The emergence of China as a leading nation in science," Research Policy, Elsevier, vol. 35(1), pages 83-104, February.
    30. Jiancheng Guan & Gangbo Wang, 2010. "A comparative study of research performance in nanotechnology for China’s inventor–authors and their non-inventing peers," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 331-343, August.
    31. Tom Z. J. Fu & Qianqian Song & Dah Ming Chiu, 2014. "The academic social network," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 203-239, October.
    32. Balconi, Margherita & Breschi, Stefano & Lissoni, Francesco, 2004. "Networks of inventors and the role of academia: an exploration of Italian patent data," Research Policy, Elsevier, vol. 33(1), pages 127-145, January.
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