Distributions instead of single numbers: Percentiles and beam plots for the assessment of single researchers
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Cited by:
- Pranpreya Sriwannawit & Ulf Sandström, 2015. "Large-scale bibliometric review of diffusion research," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1615-1645, February.
- Lutz Bornmann & Robin Haunschild, 2018. "Plots for visualizing paper impact and journal impact of single researchers in a single graph," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 385-394, April.
- Mutz, Rüdiger & Daniel, Hans-Dieter, 2018. "The bibliometric quotient (BQ), or how to measure a researcher’s performance capacity: A Bayesian Poisson Rasch model," Journal of Informetrics, Elsevier, vol. 12(4), pages 1282-1295.
- Robin Haunschild & Lutz Bornmann & Jonathan Adams, 2019. "R package for producing beamplots as a preferred alternative to the h index when assessing single researchers (based on downloads from Web of Science)," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 925-927, August.
- Lutz Bornmann & Richard Williams, 2020. "An evaluation of percentile measures of citation impact, and a proposal for making them better," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1457-1478, August.
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