There should not be any mystery: A comment on sampling issues in bibliometrics
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DOI: 10.1016/j.joi.2016.09.009
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References listed on IDEAS
- Williams, Richard & Bornmann, Lutz, 2016. "Sampling issues in bibliometric analysis," Journal of Informetrics, Elsevier, vol. 10(4), pages 1225-1232.
- Ludo Waltman & Michael Schreiber, 2013. "On the calculation of percentile-based bibliometric indicators," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 372-379, February.
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Cited by:
- Robin Haunschild & Lutz Bornmann, 2018. "Field- and time-normalization of data with many zeros: an empirical analysis using citation and Twitter data," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 997-1012, August.
- Lutz Bornmann & Klaus Wohlrabe, 2019.
"Normalisation of citation impact in economics,"
Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 841-884, August.
- Wohlrabe, Klaus & Bornmann, Lutz, 2017. "Normalization of citation impact in economics," MPRA Paper 80384, University Library of Munich, Germany.
- Lutz Bornmann & Klaus Wohlrabe, 2017. "Normalization of Citation Impact in Economics," CESifo Working Paper Series 6592, CESifo.
- Bornmann, Lutz & Haunschild, Robin, 2018. "Normalization of zero-inflated data: An empirical analysis of a new indicator family and its use with altmetrics data," Journal of Informetrics, Elsevier, vol. 12(3), pages 998-1011.
- Bornmann, Lutz & Williams, Richard, 2017. "Can the journal impact factor be used as a criterion for the selection of junior researchers? A large-scale empirical study based on ResearcherID data," Journal of Informetrics, Elsevier, vol. 11(3), pages 788-799.
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