Comparing institutional-level bibliometric research performance indicator values based on different affiliation disambiguation systems.
Donner, P., Rimmert, C., & van Eck, N.J. (2020).
Comparing institutional-level bibliometric research performance indicator values based on different affiliation disambiguation systems. Quantitative Science Studies, Volume 1 Issue 1, MIT Press, 150-170.
Abstract
The present study is an evaluation of three frequently used institution name disambiguation systems. The Web of Science normalized institution names and Organization Enhanced system and the Scopus Affiliation ID system are tested against a complete, independent institution disambiguation system for a sample of German public sector research organizations. The independent system is used as the gold standard in the evaluations that we perform. We study the coverage of the disambiguation systems and, in particular, the differences in a number of commonly used bibliometric indicators. The key finding is that for the sample institutions, the studied systems provide bibliometric indicator values that have only a limited accuracy. [...]
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Different but similar. A comparison of performance monitoring in the UK, Australia and Germany.
Hinze, S., Butler, L., Donner, P., & McAllister, I. (2019).
Different but similar. A comparison of performance monitoring in the UK, Australia and Germany. In Glänzel, W., Moed, H., Schmoch, U., & Thelwall, M. (Hrsg.), Springer Handbook of Science and Technology Indicators (S. 465-484). Basel: Springer International Publishing. https://doi.org/10.1007/978-3-030-02511-3
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Comparing institutional-level bibliometric indicator values based on different affiliation disambiguation systems. Benchmarking Web of Science and Scopus platform tools against a gold-standard data set for Germany.
Donner, P., Rimmert, C., & van Eck, N. J. (2019).
Comparing institutional-level bibliometric indicator values based on different affiliation disambiguation systems. Benchmarking Web of Science and Scopus platform tools against a gold-standard data set for Germany. In Catalano, G., Daraio, C., Gregori, M., Moed, H. F., & Ruocco, G (Hrsg.) Proceedings of the 17th Conference of the International Society for Scientometrics and Informetrics (ISSI 2019), Vol. 1, (S. 306-315). Edizioni Efesto. ISBN 978-88-3381-118-5.
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Supplementing citations to PhD theses with citations from Google.
Donner, P. (2018).
Supplementing citations to PhD theses with citations from Google. In R. Costas, T. Franssen & A. Yegros-Yegros, Proceedings of the 23rd International Conference on Science and Technology Indicators (465-471). Centre for Science and Technology Studies (CWTS), Leiden, Netherlands.
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Portfolio Evaluation FWF International Programmes. Final report.
Degelsegger-Marquéz, A., Wagner, I., Kroop, S., Rigby, J., Cox, D., Hinze, S., ... & Adams, J. (2018).
Portfolio Evaluation FWF International Programmes. Final report.
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Effect of publication month on citation impact.
Donner, P. (2018).
Effect of publication month on citation impact. Journal of Informetrics, 12(1), 330-343. https://doi.org/10.1016/j.joi.2018.01.012
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Document type assignment accuracy in the journal citation index data of Web of Science.
Donner, P. (2017).
Document type assignment accuracy in the journal citation index data of Web of Science. Scientometrics, 113(1), 219-236.
Abstract
This article reports the results of a study of the correctness of document type assignments in the commercial citation index database Web of Science (SCIE, SSCI, AHCI collections). The document type assignments for publication records are compared to those given on the official journal websites or in the publication full-texts for a random sample of 791 Web of Science records across the four document type categories articles, letters, reviews and others, according to the definitions of WoS. The proportion of incorrect assignments across document types and its influence on document specific normalized citations scores are analysed. It is found that document type data is correct in 94% of records. [...]
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Beitrag des wissenschaftlichen Nachwuchses zu Lehre, Forschung und Transfer/Innovation.
Tesch, J., Huber, N., Neufeld J., Donner, P., Aman, V., & Gauch, S. (2017).
Beitrag des wissenschaftlichen Nachwuchses zu Lehre, Forschung und Transfer/Innovation. Berlin: DZHW.
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Missing citations due to exact reference matching: Analysis of a random sample from WoS. Are publications from peripheral countries disadvantaged?
Donner, P. (2016).
Missing citations due to exact reference matching: Analysis of a random sample from WoS. Are publications from peripheral countries disadvantaged? In I. Ràfols, J. Molas-Gallart, E. Castro-Martínez & R. Woolley (Hrsg.), Peripheries, frontiers and beyond. Proceedings of the 21st International Conference on Science and Technology Indicators (S. 85-89). València: Editorial Universitat Politècnica de València.
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Enhanced self-citation detection by fuzzy author name matching and complementary error estimates.
Donner, P. (2016).
Enhanced self-citation detection by fuzzy author name matching and complementary error estimates. Journal of the Association for Information Science and Technology, 662–670.
Abstract
In this article I investigate the shortcomings of exact string match-based author self-citation detection methods. The contributions of this study are twofold. First, I apply a fuzzy string matching algorithm for selfcitation detection and benchmark this approach and other common methods of exclusively author namebased self-citation detection against a manually curated ground truth sample. Near full recall can be achieved with the proposed method while incurring only negligible precision loss. Second, I report some important observations from the results about the extent of latent self-citations and their characteristics and give an example of the effect of improved self-citation detection on the document level self-citation rate of [...].
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Document type assignment accuracy in citation index data sources.
Donner, P. (2015).
Document type assignment accuracy in citation index data sources. In A. Salah et al. (Hrsg.), Proceedings of the 15th International Society of Scientometrics and Informetrics Conference (ISSI 2015), Istanbul, Turkey, 29 June to 3 July, 2015, (S. 1271-1272). Istanbul: Bogaziçi University Printhouse.
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Bibliometric study for German National Academy of Sciences Leopoldina in the disciplines Public Health and Epidemiology.
Donner, P., Chi, P.-S., & Aman, V. (2015).
Bibliometric study for German National Academy of Sciences Leopoldina in the disciplines Public Health and Epidemiology. Public Health in Deutschland (Online Supplement).
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Quantilbasierte Indikatoren für Impact und Publikationsstrategie. Ergebnisse für Deutschland in allen Fachdisziplinen in den Jahren 2000 bis 2011.
Donner, P., & Aman, V. (2015).
Quantilbasierte Indikatoren für Impact und Publikationsstrategie. Ergebnisse für Deutschland in allen Fachdisziplinen in den Jahren 2000 bis 2011. Studien zum deutschen Innovationssystem Nr. 8-2015.
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Funding Acknowledgements in der Web of Science Datenbank. Neue Methoden und Möglichkeiten der Analyse von Förderorganisationen.
Sirtes, D., Riechert, M., Donner, P., Aman, V., & Möller, T. (2015).
Funding Acknowledgements in der Web of Science Datenbank. Neue Methoden und Möglichkeiten der Analyse von Förderorganisationen. Studien zum deutschen Innovationssystem.
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Enhanced self-citation detection by fuzzy author name matching.
Donner, P. (2014).
Enhanced self-citation detection by fuzzy author name matching. In E. Noyons (Hrsg.), Proceedings of the Science and Technology Indicators Conference " Context Counts: Pathways to Master Big and Little Data " , (S. 178-180). Leiden: Universiteit Leiden.
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