Nuermaimaiti, R, Bogachev, LV and Voss, J (2021) A Generalized Power Law Model of Citations. In: Glänzel, W, Heeffer, S, Chi, P-S and Rousseau, R, (eds.) 18th International Conference on Scientometrics and Informetrics, ISSI 2021. 18th International Conference on Scientometrics & Informetrics, 12-15 Jul 2021, Leuven, Belgium. International Society for Scientometrics and Informetrics ISBN 9789080328228
Abstract
The classical power law model is widely used in informetrics to describe citations of scientific papers, although it is not addressing variability across individual authors. We report our preliminary results for a novel model based on a certain parametric form of the expected individual citation profile which generalizes the power law frequency formula. The new model interpolates between large citation numbers, where the power law tail is reproduced, and low citation numbers, which are usually truncated when fitting the power law model to the data. In addition, we derive a deterministic limit shape of the citation profile, which can be used to make predictions about various citation function such as the h-index.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © Authors / International Society for Scientometrics and Informetrics (I.S.S.I.). Not to be reproduced in any form without the written permission of the authors. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Oct 2021 15:02 |
Last Modified: | 14 Oct 2021 15:02 |
Published Version: | https://issi2021.org/proceedings/ |
Status: | Published |
Publisher: | International Society for Scientometrics and Informetrics |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:179166 |