Author disambiguation using multi-aspect similarity indicators

T. Gurney, E. Horlings, P. van den Besselaar

Research output: Contribution to journal/periodicalArticleScientificpeer-review

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Abstract

Key to accurate bibliometric analyses is the ability to correctly link individuals to their corpus of work, with an optimal balance between precision and recall. We have developed an algorithm that does this disambiguation task with a very high recall and precision. The method addresses the issues of discarded records due to null data fields and their resultant effect on recall, precision and F-measure results. We have implemented a dynamic approach to similarity calculations based on all available data fields. We have also included differences in author contribution and age difference between publications, both of which have meaningful effects on overall similarity measurements, resulting in significantly higher recall and precision of returned records. The results are presented from a test dataset of heterogeneous catalysis publications. Results demonstrate significantly high average F-measure scores and substantial improvements on previous and stand-alone techniques.
Original languageEnglish
Pages (from-to)435-449
Number of pages15
JournalScientometrics
Volume91
Issue number2
DOIs
Publication statusPublished - 2012

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  • Research Output

    • 1 Contribution to conference proceedings

    Author Disambiguation Using Multi-Aspect Similarity Indicators

    Gurney, T., Horlings, E. & van den Besselaar, P., 2011, Proceedings of ISSI 2011 - The 13th International Conference on Scientometrics and Informetrics. Noyons, E. C. M., Ngulube, P. & Leta, J. (eds.). Durban, South Africa: ISSI, Leiden University, University of Zululand, p. 261-266

    Research output: Chapter in book/volumeContribution to conference proceedingsScientific

    Projects

    Rathenau instituut

    Doorenbos, C.

    02/06/1994 → …

    Project: Research

    Cite this

    Gurney, T., Horlings, E., & van den Besselaar, P. (2012). Author disambiguation using multi-aspect similarity indicators. Scientometrics, 91(2), 435-449. https://doi.org/10.1007/s11192-011-0589-1