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An impact-citations-exergy (iCX) trajectory analysis of leading research institutions in India

Author

Listed:
  • P. Nishy

    (CSIR National Institute of Science Communication and Information Resources)

  • Yatish Panwar

    (CSIR National Institute of Science Communication and Information Resources)

  • Suresh Prasad

    (CSIR National Institute of Science Communication and Information Resources)

  • G. K. Mandal

    (CSIR National Institute of Science Communication and Information Resources)

  • Gangan Prathap

    (CSIR National Institute of Science Communication and Information Resources)

Abstract

A thermodynamic analogy allows bibliometric research assessment of information production processes to be based on a scalar indicator which is an energy-like term called exergy. Derived from standard indicators like impact, citations and number of papers, the exergy indicator X is a multiplicative product of quality and quantity of a scientist’s or group’s performance using available bibliometric information. Thus, given the bibliometric sequences of leading research agencies and institutions, research performance can be displayed as trajectories on a two-dimensional map as time progresses. In this paper, we track the performance of several of the leading players contributing to academic scientific research in India.

Suggested Citation

  • P. Nishy & Yatish Panwar & Suresh Prasad & G. K. Mandal & Gangan Prathap, 2012. "An impact-citations-exergy (iCX) trajectory analysis of leading research institutions in India," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 245-251, April.
  • Handle: RePEc:spr:scient:v:91:y:2012:i:1:d:10.1007_s11192-011-0594-4
    DOI: 10.1007/s11192-011-0594-4
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    References listed on IDEAS

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    1. Loet Leydesdorff & Lutz Bornmann & Rüdiger Mutz & Tobias Opthof, 2011. "Turning the tables on citation analysis one more time: Principles for comparing sets of documents," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1370-1381, July.
    2. Gangan Prathap, 2011. "The Energy–Exergy–Entropy (or EEE) sequences in bibliometric assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 515-524, June.
    3. Gangan Prathap, 2011. "Quasity, when quantity has a quality all of its own—toward a theory of performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 555-562, August.
    4. Richard Van Noorden, 2010. "Cities: Building the best cities for science," Nature, Nature, vol. 467(7318), pages 906-908, October.
    5. Gangan Prathap, 2010. "Is there a place for a mock h-index?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 153-165, July.
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    Cited by:

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    3. Hamdi A. Al-Jamimi & Galal M. BinMakhashen & Lutz Bornmann, 2022. "Use of bibliometrics for research evaluation in emerging markets economies: a review and discussion of bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5879-5930, October.
    4. Vivek Kumar Singh & Ashraf Uddin & David Pinto, 2015. "Computer science research: the top 100 institutions in India and in the world," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 529-553, August.
    5. Gangan Prathap, 2013. "Second order indicators for evaluating international scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 563-570, May.
    6. Rogheyeh Eskrootchi & Nadia Sanee, 2018. "Comparison of medical research performance by thermodynamic and citation analysis methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2159-2168, December.
    7. Aparna Basu & Sumit Kumar Banshal & Khushboo Singhal & Vivek Kumar Singh, 2016. "Designing a Composite Index for research performance evaluation at the national or regional level: ranking Central Universities in India," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1171-1193, June.

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