Competence Network for Bibliometrics

Start of the project: 2008-Dec-01 - End of the project: 2024-Dec-31

Only 20 years ago, bibliometrics were so exotic that at best experts dealt with the field. Today, bibliometric indicators such as the Journal Impact Factor or the h-index are provided by large literature databases as a matter of course, and they have found their way into evaluation, steering, and funding processes. This makes proficient handling and interpretation of such indicators indispensable. However, the development of bibliometric competencies and of advanced methods and indicators has not kept pace with the rapidly growing diffusion of their use.

In 2009 the Competence Centre for Bibliometrics was founded in order to eliminate these deficits and to keep up with the international developments. Funded by the Federal Ministry of Education and Research (BMBF), the Institute for Research Information and Quality Assurance (iFQ – coordinator), the Fraunhofer Institute for Systems and Innovation Research (ISI), Bielefeld University, and the FIZ Karlsruhe – Leibniz Institute for Information Infrastructure all combined their competencies in the form of a consortium. The objective was to construct an in-house database referring to the literature databases Scopus (Elsevier) and Web of Science (Thomson Reuters). Based on quality control, contortion callipers, and unification of author names and addresses, the data stock was corrected and extended. On this basis, the Competence Centre for Bibliometrics started several research projects to define new quality standards in bibliometrics and develop advanced indicators. Furthermore, the consortium members initiated specialised bibliometric projects on collaboration analysis, impact measurement, publication strategies etc.

Since 2014, the GESIS – Leibniz Institute for the Social Sciences, the Max Planck Society, and the Forschungszentrum Jülich have joined the Competence Centre for Bibliometrics. The main objective is now to make the database a permanent research infrastructure which is open to new services and applications. The former iFQ, now Research System and Science Dynamics research area of the DZHW, aims to use the Competence Centre for Bibliometrics to strengthen its research activities in the general field of indicators, methods, and bibliometrics. It focuses on the development of indicators, quality assurance and quality assessment, subject classification, and network analysis.

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Publications

Distinguishing articles in questionable and non-questionable journals using quantitative indicators associated with quality.

Stephen, D. (2023).
Distinguishing articles in questionable and non-questionable journals using quantitative indicators associated with quality. In L. Waltman, K. H. Lai, B. Murat, J. Wang, V. Weimer, E. Noyons, & M. Luwel (Hrsg.), 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). Leiden, Netherlands: orvium.io. https://doi.org/10.55835/644245cb8e703ddb4dc07eda

Confounding cross-correlation: A meta-analysis of the association between citations and altmetrics.

Stephen, D., & Stahlschmidt, S. (2023).
Confounding cross-correlation: A meta-analysis of the association between citations and altmetrics. In ISSI (Hrsg.), Proceedings of ISSI 2023 – the 19th International Conference of the International Society for Scientometrics and Informetrics (S. 449-454). Bloomington, United States: International Society for Scientometrics and Informetrics.

Medical articles in questionable journals are less impactful than those in non-questionable journals but still extensively cited.

Stephen, D. (2023).
Medical articles in questionable journals are less impactful than those in non-questionable journals but still extensively cited. Scientometrics. https://doi.org/10.1007/s11192-023-04763-w

A diachronic perspective on citation latency in Wikipedia articles on CRISPR/Cas-9: an exploratory case study.

Schmidt, M., Kircheis, W., Simons, A., Potthast, M., & Stein, B. (2023).
A diachronic perspective on citation latency in Wikipedia articles on CRISPR/Cas-9: an exploratory case study. Scientometrics, 2023(128), 3649-3673 (online first).

The multidisciplinary roots of higher education research: An analysis of citation patterns.

Lovakov, A., & Yudkevich, M. (2023).
The multidisciplinary roots of higher education research: An analysis of citation patterns. Higher Education Quarterly, 2023(77), 890-910. https://doi.org/10.1111/hequ.12438

Dynamics of the disciplinary structure of research in post-Soviet countries.

Lovakov, A. (2023).
Dynamics of the disciplinary structure of research in post-Soviet countries. In L. Waltman, K. H. Lai, B. Murat, J. Wang, V. Weimer, W. Noyons, & M. Luwel (Hrsg.), 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). Leiden, Netherlands: orvium.io. https://doi.org/10.55835/643ea0a69ad1e8f3e5ab2f1a

Drawbacks of Normalization by Percentile Ranks in Citation Impact Studies.

Donner, P. (2022).
Drawbacks of Normalization by Percentile Ranks in Citation Impact Studies. Journal of Library and Information Studies, 20(2), 75-93.
Abstract

This paper discusses drawbacks of the percentile rank method for citation impact normalization which have hitherto been neglected in the bibliometrics literature. The transformation of citation counts to percentile ranks changes ratio scale data into ordinal scale data, for which the notions of the ratio between two values and of the magnitude of a difference between two values are not defined – a substantial loss of information. This distorts citation data particularly severely because the differences between citation counts adjacent in order in publication sets are greater for more highly cited publications and because highly cited publications are more scarce than non-highly cited ones. [...]

From indexation policies through citation networks to normalized citation impacts: Web of Science, Scopus, and Dimensions as varying resonance chambers.

Stahlschmidt, S., & Stephen, D. (2022).
From indexation policies through citation networks to normalized citation impacts: Web of Science, Scopus, and Dimensions as varying resonance chambers. Scientometrics, 2022 (online first). https://doi.org/10.1007/s11192-022-04309-6

Bibliometrische Standardberichte für wissenschaftliche Einrichtungen und deren Einsatz an Bibliotheken.

Stahlschmidt, S., Donner, P., & Jahn, N. (2021).
Bibliometrische Standardberichte für wissenschaftliche Einrichtungen und deren Einsatz an Bibliotheken. b.i.t. online, 24(3), 269-276.

Differences between Web of Science, Scopus, and Dimensions in structure and citation networks affect German sectors’ normalised citation impact.

Stahlschmidt, S., & Stephen, D. (2021).
Differences between Web of Science, Scopus, and Dimensions in structure and citation networks affect German sectors’ normalised citation impact. In W. Glänzel, S. Heeffer, P.-S. Chi, & R. Rosseau (Hrsg.), Proceedings of the 18th International Conference on Scientometrics and Informetrics (S. 1051-1062). Leuven: KU Leuven / International Society for Scientometrics and Informetrics (I.S.S.I.).

From indexation policies through citation networks to normalized citation impacts: Web of Science, Scopus, and Dimensions as varying resonance chambers.

Stahlschmidt, S., & Stephen, D. (2021).
From indexation policies through citation networks to normalized citation impacts: Web of Science, Scopus, and Dimensions as varying resonance chambers. Ithaca: arXiv.

Validation of the Astro dataset clustering solutions with external data.

Donner, P. (2020).
Validation of the Astro dataset clustering solutions with external data. Scientometrics, 126, 1619–1645. https://doi.org/10.1007/s11192-020-03780-3
Abstract

We conduct an independent cluster validation study on published clustering solutions of a research testbed corpus, the Astro dataset of publication records from astronomy and astrophysics. We extend the dataset by collecting external validation data serving as proxies for the latent structure of the corpus. Specifically, we collect (1) grant funding information related to the publications, (2) data on topical special issues, (3) on specific journals’ internal topic classifications and (4) usage data from the main online bibliographic database of the discipline. The latter three types of data are newly introduced for the purpose of clustering validation and the rationale for using them for this task is set out.

Comparison of Web of Science, Scopus and Dimensions databases.

Stahlschmidt, S., & Stephen, D. (2020).
Comparison of Web of Science, Scopus and Dimensions databases. Report to Kompetenzzentrum Bibliometrie. Hannover: DZHW.

The implicit preference of bibliometrics for basic research.

Donner, P., & Schmoch, U. (2020).
The implicit preference of bibliometrics for basic research. Scientometrics, 124, 1411-1419. https://doi.org/10.1007/s11192-020-03516-3
Abstract

By individually associating articles to basic or applied research, it is shown that basic articles are cited more frequently than applied ones. Dividing the subject categories of the Web of Science into a basic and an applied part, the mean field-normalization rate is referred to the applied or basic part depending on the research orientation of the paper analysed. By this approach, a distinct difference of the citations for the applied and basic parts of most subject categories is found. However, differences of the citation scores of applied and basic research organisations are found as well, but are less clear. The explanation is that applied and basic research organisations generally publish a mix of basic and applied articles. [...]

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. [...]

Merits and Limits: Applying open data to monitor Open Access publications in bibliometric databases.

Akbaritabar, A., & Stahlschmidt, S. (2019).
Merits and Limits: Applying open data to monitor Open Access publications in bibliometric databases. 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. 2, (S. 1455-1461). Rom: Edizioni Efesto.

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.

Applying Crossref and Unpaywall information to identify gold, hidden gold, hybrid and delayed Open Access publications in the KB corpus. Report to Kompetenzzentrum Bibliometrie.

Akbaritabar, A., & Stahlschmidt, S. (2019).
Applying Crossref and Unpaywall information to identify gold, hidden gold, hybrid and delayed Open Access publications in the KB corpus. Report to Kompetenzzentrum Bibliometrie. DZHW: Berlin/Hannover. https://doi.org/10.31235/osf.io/sdzft

Traditionelle bibliometrische Indikatoren im Qualitätsmanagement und die Auswirkungen eines naiven Umgangs damit.

Hornbostel, S. (2019).
Traditionelle bibliometrische Indikatoren im Qualitätsmanagement und die Auswirkungen eines naiven Umgangs damit. In AQ Austria (Hrsg.), Forschung fördern - Rahmenbedingungen gestalten! Beiträge zur 6. AQ Austria Jahrestagung 2018. Wien: facultas.

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

Trade Journals in den KB-Datenbanken und ihr Einfluss auf bibliometrische Indikatorik.

Beng, F. (2018).
Trade Journals in den KB-Datenbanken und ihr Einfluss auf bibliometrische Indikatorik. Bericht an die Partner des Kompetenzzentrums Bibliometrie.

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. [...]

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 [...].

Presentations

Persistence of empirically disconfirmed biased methodology to credit co-author contributions in science studies.

Donner, P. (2024, April).
Persistence of empirically disconfirmed biased methodology to credit co-author contributions in science studies. Vortrag auf dem Symposium Asia-Pacific Symposium on Informetrics, Department of Library and Information Science, National Taiwan University , Taipei, Taiwan.
Abstract

In this talk I lay out which broad classes of bibliometric co-author "counting" methods exist, whether they are in agreement with empirical data and which class is used most in practice. So far unpublished new data on relative co-author contributions to papers will be analyzed for this purpose. The currently dominating method class is found to have a poor validity track record and explanations are sought to understand its paradoxical success.

Mit externen Klassifikationsdaten in der KB-Datenbank arbeiten.

Donner, P. (2023, November).
Mit externen Klassifikationsdaten in der KB-Datenbank arbeiten. Vortrag auf dem Workshop Netzwerktreffen Kompetenznetzwerk Bibliometrie.

Clustering for science classification: semantic document vectors and the role of discipline-specific classifications.

Donner, P. (2023, November).
Clustering for science classification: semantic document vectors and the role of discipline-specific classifications. Vortrag auf dem Workshop Netzwerktreffen Kompetenznetzwerk Bibliometrie.
Abstract

In this talk, the interaction of algorithmic classification, semantic document vector representations, and discipline specific classification systems of science will be discussed, primarily conceptually, but including some preliminary empirical results of recent research. For science studies, a fine-grained, article-level, comprehensive classification (or taxonomic) system is highly desirable. Existing systems do not suffice because they are either on a journal level (WoS SCs, Scopus ASJC, Science Metrix Journal Classification) or discipline-specific (e.g. MeSH, MSC, PACS, JEL Classification, ...). Algorithmic, data-based solutions have been introduced that can provide such solutions, namely document clustering algorithms. [...]

Dynamics of the disciplinary structure of research in post-Soviet countries.

Lovakov, A. (2023, September).
Dynamics of the disciplinary structure of research in post-Soviet countries. Poster auf der Konferenz 27th International Conference on Science, Technology and Innovation Indicators (STI 2023), Leiden, Netherlands. https://doi.org/10.55835/643ea0a69ad1e8f3e5ab2f1a

Advancing University, Industry, and Government Collaboration in Bibliometrics: Building a network infrastructure for data.

Heuser, E. (2023, Mai).
Advancing University, Industry, and Government Collaboration in Bibliometrics: Building a network infrastructure for data. Vortrag auf der Konferenz The 9th Atlanta Conference on Science and Innovation Policy, Georgia Tech, Atlanta, USA.
Abstract

Applying an ethnographic approach to the research and application of bibliometrics, this paper synthesizes the scope and relevance of scientometric work with actor-network centered approaches from qualitative social sciences. In doing so, I draw on data collected within the Competence Network for Bibliometrics (Kompetenznetzwerk Bibliometrie, KB) in Germany. As a network with 22 high-profile member organizations including Fraunhofer and Max-Planck institutes, KB follows the research output from every field of study, reveals its impact, provides metadata, and makes research visible across disciplinary boundaries. It links partner research institutions and stipulates new disciplinary dynamics in the field of bibliometrics and scientometrics.

Mit Unsicherheit umgehen: Interventionen in den wiss. Diskurs und Umgang zitierender Communities mit Unsicherheit von Wissensbeständen am Beispiel von Retractions und der Replication Crisis.

Schmidt, M. (2023, März).
Mit Unsicherheit umgehen: Interventionen in den wiss. Diskurs und Umgang zitierender Communities mit Unsicherheit von Wissensbeständen am Beispiel von Retractions und der Replication Crisis. Vortrag auf der Tagung Netzwerktagung des Kompetenznetzwerkes Bibliometrie, Kompetenznetzwerk Bibliometrie, Göttingen.

Grundlagenforschung und angewandte Forschung im deutschen Wissenschaftssystem. Zur Nutzung von 'Research Level'-Daten in der KB-Infrastruktur.

Donner, P. (2022, Oktober).
Grundlagenforschung und angewandte Forschung im deutschen Wissenschaftssystem. Zur Nutzung von 'Research Level'-Daten in der KB-Infrastruktur. Vortrag im Rahmen des Netzwerktreffen des Kompetenznetzwerks Bibliometrie.

Funding Acknowledgements – the Funding Background of Publications.

Möller, T. (2022, September).
Funding Acknowledgements – the Funding Background of Publications. Vortrag im Rahmen der European Summer School for Scientometrics (esss 2022), Berlin, Germany.

Szientometrie als Gegenstand von Wissenschaftsforschung.

Stahlschmidt, S. (2022, Juli).
Teilnahme an der Podiumsdiskussion Szientometrie als Gegenstand von Wissenschaftsforschung auf dem Symposium Wissenschaftsforschung im Fokus - Potentiale und neue Perspektiven, VolkswagenStiftung, Hannover.

Dimensions im Vergleich: Ein Überblick basierend auf den Arbeiten im Kompetenznetzwerk Bibliometrie (KB).

Stahlschmidt, S. (2022, Juni).
Dimensions im Vergleich: Ein Überblick basierend auf den Arbeiten im Kompetenznetzwerk Bibliometrie (KB). Vortrag in der Bibliometrie User Group, Leibniz Geschäftsstelle.

Challenges for bibliometrics in the era of Open Science and non-academic impact assessment.

Stahlschmidt, S. (2022, Juni).
Teilnahme an der Podiumsdiskussion Challenges for bibliometrics in the era of Open Science and non-academic impact assessment Frontiers of the Evaluation. Workshop in Honour of the Memory of Henk F. Moed, Sapienza University, European Summer School for Scientometrics, Rome, Italy.

Comparing the French and German science system, using survey and bibliometric data on research funding.

Möller, T. (2022, Januar).
Comparing the French and German science system, using survey and bibliometric data on research funding. Vortrag auf dem Workshop Scientometric Joint Seminar, Science and technology observatory (OST) & German Centre for Higher Education Research and Science Studies (DZHW), Paris.

Institution coding in the KB.

Donner, P. (2022, Januar).
Institution coding in the KB. Vortrag auf dem Workshop OST-DZW Joint Seminar, Paris.

Accuracy and beyond: Data quality of bibliometric databases.

Stahlschmidt, S. (2021, September).
Accuracy and beyond: Data quality of bibliometric databases. Vortrag auf der Summer School European Summer School for Scientometrics (ESSS) 2021.

Bibliometrics informing policy making: Fit for purpose?

Hinze, S., Sivertsen, G., Schneider, J., & Stahlschmidt, S. (2021, September).
Session Bibliometrics informing policy making: Fit for purpose 25th International Conference on Science, Technology and Innovation Indicators (STI2021), Danish Centre for Studies in Research and Research Policy Department of Political Science Aarhus University, Aarhus, Denmark.

Differences between Web of Science, Scopus, and Dimensions in structure and citation networks affect German sectors’ normalised citation impact.

Stahlschmidt, S., & Stephen, D. (2021, Juli).
Differences between Web of Science, Scopus, and Dimensions in structure and citation networks affect German sectors’ normalised citation impact. Vortrag auf der Konferenz 18th Conference of the International Society for Scientometrics and Informetrics (ISSI 2021), KU Leuven, Leuven, Belgium.

Vergleich bibliometrischer Indikatoren basierend auf verschiedenen Institutionenbereinigungen.

Donner, P. in Zusammenarbeit mit Rimmert, C., & van Eck, N.J. (2020, März).
Vergleich bibliometrischer Indikatoren basierend auf verschiedenen Institutionenbereinigungen. Vortrag auf dem Workshop " Leistungsmessung im Hochschulbereich " , Technische Universtität Dresden, Project PEER-UP, 05.-06.03.2020, Dresden.

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, September).
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. Vortrag auf der 17th International Conference on Scientometrics & Informetrics, September 2-5, 2019, Rome, Italy.

Merits and limits: Applying open data to monitor open access publications in bibliometric databases.

Akbaritabar, A., & Stahlschmidt, S. (2019, September).
Merits and limits: Applying open data to monitor open access publications in bibliometric databases. Vortrag auf der 17th International Conference on Scientometrics & Informetrics (ISSI2019), 02.-05.09.2019, Rom, Italien.

Prevalence and Characteristics of Reviews: Some Empirical Observations in the Web of Science.

Stahlschmidt, S. (2019, September).
Prevalence and Characteristics of Reviews: Some Empirical Observations in the Web of Science. Vortrag auf der Konferenz 17th International Conference on Scientometrics & Informetrics (ISSI2019), Rom, Italien.

Scientometric Indicators in Use: an Overview.

Hinze, S., & Glänzel, W. (2019, Juli).
Scientometric Indicators in Use: an Overview. 10. European Summer School for Scientometrics (esss), KU Leuven, 15.-20. July 2019, Leuven, Belgium.

Bibliometrics Reviewed: History, Institutionalization, and Concepts.

Hinze, S., & Hornbostel, S. (2019, Juli).
Bibliometrics Reviewed: History, Institutionalization, and Concepts. 10. European Summer School for Scientometrics (esss), KU Leuven, 15.-20. July 2019, Leuven, Belgium.

Merits and Limits: Applying open data to monitor open access publications in bibliometric databases.

Akbaritabar, A., & Stahlschmidt, S. (2019, Juni).
Merits and Limits: Applying open data to monitor open access publications in bibliometric databases. Workshop on Matching procedures for Unpaywall and Web of Science, Bielefeld University, June 18, 2019, Bielefeld.

Traditionelle bibliometrische Indikatoren im Qualitätsmanagement und die Auswirkungen eines naiven Umgangs damit.

Hornbostel, S. (2018, September).
Traditionelle bibliometrische Indikatoren im Qualitätsmanagement und die Auswirkungen eines naiven Umgangs damit. Vortrag auf der AQ Austria Jahrestagung: Forschung fördern - Rahmenbedingungen gestalten, Agentur für Qualitätssicherung und Akkreditierung Austria, 27.09.2018, Wien, Österreich.

Bibliometrics Reviewed: History, Institutionalization, and Concepts.

Hornbostel, S. (2018, Juli).
Bibliometrics Reviewed: History, Institutionalization, and Concepts. Vortrag auf der 9. European Summer School for Scientometrics (esss), Universität Wien, 23.-28.07.2018, Wien, Österreich.

Scientometric Indicators in Use: an Overview.

Hinze, S., & Glänzel, W. (2018, Juli).
Scientometric Indicators in Use: an Overview. Vortrag auf der 9. European Summer School for Scientometrics (esss), Universität Wien, 23.-28.07.2018, Wien, Österreich.

Effect of publication month on citation impact.

Donner, P. (2017, Oktober).
Effect of publication month on citation impact. Vortrag auf der 16th International Conference on Scientometrics & Informetrics (ISSI), 16.-20.10.2017, Wuhan University, Wuhan, China.

Effect of publication month on citation impact.

Donner, P. (2017, Oktober).
Effect of publication month on citation impact. Vortrag am Science & Technology Policy Research and Information Center, National Applied Research Laboratories, Taipei, Taiwan.
Abstract

A standard procedure in citation analysis is that all papers published in one year are assessed at the same later point in time, implicitly treating all publications as if they were published at the exact same date. This leads to systematic bias in favor of early-months publications and against late-months publications. This contribution analyses the size of this distortion on a large body of publications from all disciplines over citation windows of up to 15 years. It is found that early-month publications enjoy a substantial citation advantage, which arises from citations received in the first three years after publication. [...]

Improving bibliometric indicators with better data and methods. An overview and recent progress on selected problems.

Donner, P. (2017, Oktober).
Improving bibliometric indicators with better data and methods. An overview and recent progress on selected problems. Vortrag an der National Taiwan University, Department of Library and Information Science, Taipei, Taiwan.

Missing citations due to exact reference matching: analysis of a random sample from WoS. Are publications from peripheral countries disadvantaged?

Donner, P. (2016, September).
Missing citations due to exact reference matching: analysis of a random sample from WoS. Are publications from peripheral countries disadvantaged? Vortrag auf der 21st International Conference on Science and Technology Indicators (STI 2016), 14.-06.09.2016, Valencia, Spanien.
Conferences

european summer school for scientometrics (esss2023).

Glänzel, W., Debackere, K., Hinze, S., Gauch, S., Stahlschmidt, S., ... & Wieland, M. (2023).
european summer school for scientometrics (esss2023)., Sapienza University, Rom, Italien.

European Summer School of Scientometrics 2022 (esss2022).

Glänzel, W., Debackere, K., Hinze, S., Gauch, S., Stahlschmidt, S., ... & Wieland, M. (2022).
European Summer School of Scientometrics 2022 (esss2022)., Berlin.

European Summer School for Scientometrics (esss2021).

Glänzel, W., Debackere, K., Hinze, S., Gauch, S., Stahlschmidt, S., ... & Ulrych, U. (2021).
European Summer School for Scientometrics (esss2021)., online.

Bibliometrics informing policy making: Fit for purpose?

Hinze, S., Sivertsen, G., Schneider, J., & Stahlschmidt, S. (2021, September).
Session Bibliometrics informing policy making: Fit for purpose 25th International Conference on Science, Technology and Innovation Indicators (STI2021), Danish Centre for Studies in Research and Research Policy Department of Political Science Aarhus University, Aarhus, Denmark.

Contact person

Stephan Stahlschmidt
Dr. Stephan Stahlschmidt +49 30 2064177-18
Eric Anton Heuser
Dr. Eric Anton Heuser +49 30 2064177-15

Office

Nikolai Schmarbeck
Nikolai Schmarbeck +49 30 2064177-39

Researchers

Dr. Andrey Lovakov Dr. Matteo Ottaviani Marion Schmidt Astrid Sohn Dr. Dimity Stephen

Project website

https://bibliometrie.info/en/

Funded by

Bundesministerium für Bildung und Forschung