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A new model of scientific collaboration part 2. Collaboration patterns in Indian medicine

Author

Listed:
  • Ramesh Kundra

    (National Institute of Science, Technology and Development Studies)

  • Hildrun Kretschmer

    (I.S.S.I.)

Abstract

Collaboration in science has become a prevailing trend and it will be worthwhile to study the patterns of co-authorships in scientific research. In this study a three-dimensional behavioural pattern of Indian medicinal co-authorship network is presented. The high evenness of this pattern has caused us to carry out a non-linear regression analysis. The pattern of Indian Medicinal coauthorships can be described by the same non-linear mathematical function that describes the behavioural patterns of international medicine co-authorship networks and networks of other scientific disciplines. The following question has arise: Is there a general validity of this function in co-authorship networks?

Suggested Citation

  • Ramesh Kundra & Hildrun Kretschmer, 1999. "A new model of scientific collaboration part 2. Collaboration patterns in Indian medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 519-528, November.
  • Handle: RePEc:spr:scient:v:46:y:1999:i:3:d:10.1007_bf02459608
    DOI: 10.1007/BF02459608
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    Citations

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    Cited by:

    1. Hildrun Kretschmer & Liang Liming & Ramesh Kundra, 2001. "Chinese-Indian-German Collaboration Results that Provided the Impetus for the Foundation of COLLNET," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(3), pages 445-456, November.
    2. Wah Yun Low & Kwan Hoong Ng & M. A. Kabir & Ai Peng Koh & Janaki Sinnasamy, 2014. "Trend and impact of international collaboration in clinical medicine papers published in Malaysia," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1521-1533, February.
    3. Ramesh Kundra & Dimiter Tomov, 2001. "Collaboration Patterns in Indian and Bulgarian Epidemiology of Neoplasms in Medline for 1966–1999," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(3), pages 519-523, November.
    4. Christos Kolympiris & Sebastian Hoenen & Peter G. Klein, 2019. "Learning by Seconding: Evidence from National Science Foundation Rotators," Organization Science, INFORMS, vol. 30(3), pages 528-551, May.
    5. Fuyuki Yoshikane & Kyo Kageura, 2004. "Comparative analysis of coauthorship networks of different domains: The growth and change of networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 435-446, August.
    6. Fuyuki Yoshikane & Takayuki Nozawa & Susumu Shibui & Takafumi Suzuki, 2009. "An analysis of the connection between researchers’ productivity and their co-authors’ past attributions, including the importance in collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 435-449, May.
    7. Luka Kronegger & Anuška Ferligoj & Patrick Doreian, 2011. "On the dynamics of national scientific systems," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 989-1015, August.
    8. Radhamany Sooryamoorthy, 2010. "Medical research in South Africa: a scientometric analysis of trends, patterns, productivity and partnership," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 863-885, September.
    9. Jiang Li & Yueting Li, 2015. "Patterns and evolution of coauthorship in China’s humanities and social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1997-2010, March.
    10. Jane Payumo & Taurean Sutton & Derek Brown & Dan Nordquist & Marc Evans & Danna Moore & Prema Arasu, 2017. "Input–output analysis of international research collaborations: a case study of five U.S. universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1657-1671, June.

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