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Big data and false discovery: analyses of bibliometric indicators from large data sets

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  • Gangan Prathap

    (CSIR National Institute of Science Communication and Information Resources)

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  • Gangan Prathap, 2014. "Big data and false discovery: analyses of bibliometric indicators from large data sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1421-1422, February.
    • Handle: RePEc:spr:scient:v:98:y:2014:i:2:d:10.1007_s11192-013-1063-z
    DOI: 10.1007/s11192-013-1063-z
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    References listed on IDEAS

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    1. Filippo Radicchi & Claudio Castellano, 2013. "Analysis of bibliometric indicators for individual scholars in a large data set," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 627-637, December.
    2. Gangan Prathap, 2010. "Is there a place for a mock h-index?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 153-165, July.
    3. Leo Egghe & Ronald Rousseau, 2006. "An informetric model for the Hirsch-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 121-129, October.
    4. Fred Y. Ye, 2011. "A unification of three models for the h-index," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 205-207, January.
    5. Schubert, András & Glänzel, Wolfgang, 2007. "A systematic analysis of Hirsch-type indices for journals," Journal of Informetrics, Elsevier, vol. 1(3), pages 179-184.
    6. Edit Csajbók & Anna Berhidi & Lívia Vasas & András Schubert, 2007. "Hirsch-index for countries based on Essential Science Indicators data," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(1), pages 91-117, October.
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    Cited by:

    1. Manvendra Janmaijaya & Amit K. Shukla & Ajith Abraham & Pranab K. Muhuri, 2018. "A Scientometric Study of Neurocomputing Publications (1992–2018): An Aerial Overview of Intrinsic Structure," Publications, MDPI, vol. 6(3), pages 1-22, July.
    2. Sumeer Gul & Nahida Tun Nisa & Tariq Ahmad Shah & Sangita Gupta & Asifa Jan & Suhail Ahmad, 2015. "Middle East: research productivity and performance across nations," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1157-1166, November.

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