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Intriguing trends in nuclear physics authorship

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  • B. Pritychenko

    (Brookhaven National Laboratory)

Abstract

The increase in authorship of nuclear physics publications has been investigated using the large statistical samples. Large collections of bibliographical metadata represent a very powerful tool for understanding of the past, present, and, perhaps, future research trends. This has been accomplished with nuclear data mining of nuclear science references and the experimental nuclear reaction databases. The data analysis shows a strong anticorrelation between authorship increase of experimental papers and overall reduction of measurements due to closures of many small nuclear physics facilities. These findings suggest that article authorship is a very complex phenomenon, and presently-observed increase or “inflation” in authorship could be explained by the adaptation to the changing research environment, in addition to the evolving authorship rules that progressed over the years from very strict to lenient. The results of this study and their implications are discussed and conclusions presented.

Suggested Citation

  • B. Pritychenko, 2015. "Intriguing trends in nuclear physics authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1781-1786, December.
    • Handle: RePEc:spr:scient:v:105:y:2015:i:3:d:10.1007_s11192-015-1605-7
    DOI: 10.1007/s11192-015-1605-7
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    Citations

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    Cited by:

    1. Yurij L. Katchanov & Yulia V. Markova & Natalia A. Shmatko, 2016. "How physics works: scientific capital in the space of physics institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 875-893, August.
    2. B. Pritychenko, 2016. "Evolving landscape of low-energy nuclear physics publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2067-2076, December.
    3. B. Pritychenko, 2016. "Fractional authorship in nuclear physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 461-468, January.

    More about this item

    Keywords

    Scientific authorship; Publication analysis; Nuclear data mining; Relational databases;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior

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