High-end performance or outlier? Evaluating the tail of scientometric distributions
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DOI: 10.1007/s11192-013-1022-8
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References listed on IDEAS
- 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.
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Cited by:
- Guoliang Lyu & Ganwei Shi, 2019. "On an approach to boosting a journal’s citation potential," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1387-1409, September.
- Qing Cheng & Xin Lu & Zhong Liu & Jincai Huang, 2015. "Mining research trends with anomaly detection models: the case of social computing research," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 453-469, May.
- Campanario, Juan Miguel, 2014. "Analysis of the distribution of cited journals according to their positions in the h-core of citing journal listed in Journal Citation Reports," Journal of Informetrics, Elsevier, vol. 8(3), pages 534-545.
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Keywords
Scientometric distributions; Extreme values; QQ plot; Characteristic scores and scales;All these keywords.
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