Najko Jahn
Impact in
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- scientometrics and bibliometrics research
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- Academic Publishing and Open Access
- Scientific Computing and Data Management
Papers in
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- Research Data Management Practices 13
- Library Science and Information Systems 3
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- scientometrics and bibliometrics research 15
- Co-authors
- Lisa Matthias (5 shared papers)Mikael Laakso (4 shared papers)Philipp Mayr (3 shared papers)Birgit Schmidt (4 shared papers)Marion Schmidt (1 shared paper)Wolfram Horstmann (3 shared papers)Paul Donner (1 shared paper)Carl Boettiger (1 shared paper)
In The Last Decade
Najko Jahn
28 papers receiving 221 citations
Najko Jahn's Hit Papers
Peers
Comparison fields: 5 of 64
- Statistics, Probability and Uncertainty 116
- Information Systems and Management 85
- Museology 19
- Information Systems 99
- Conservation 10
Countries citing papers authored by Najko Jahn
This map shows the geographic impact of Najko Jahn's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Najko Jahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Najko Jahn more than expected).
Fields of papers citing papers by Najko Jahn
This network shows the impact of papers produced by Najko Jahn. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Najko Jahn. The network helps show where Najko Jahn may publish in the future.
Co-authors
The 22 scholars most cited alongside Najko Jahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 52 | |
| 2 | 2016 | 44 | |
| 3 | Reference coverage analysis of OpenAlex compared to Web of Science and Scopus Hit paper breakdown → | 2025 | 24 |
| 4 | 2019 | 21 | |
| 5 | 2021 | 15 | |
| 6 | 2021 | 14 | |
| 7 | 2018 | 11 | |
| 8 | Client for Various 'CrossRef' 'APIs' [R package rcrossref version 1.1.0] | 2020 | 9 |
| 9 | 2023 | 5 | |
| 10 | 2015 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 3 | |
| 13 | Towards Linked Research Data: an Institutional Approach. | 2013 | 3 |
| 14 | 2015 | 3 | |
| 15 | 2015 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2010 | 2 | |
| 20 | RESEARCH IN CONTEXT (IN VIEW OF RECENT RESULTS FROM OPENAIRE PLUS AND FROM THE LIBRARY PERSPECTIVE) | 2013 | 2 |
About Najko Jahn
Najko Jahn is a scholar working on Information Systems, Statistics, Probability and Uncertainty, Information Systems and Management, Museology and Artificial Intelligence, having authored 32 papers that have together received 236 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (15 papers), Research Data Management Practices (13 papers), Academic Publishing and Open Access (8 papers), Libraries and Information Services (6 papers), Library Science and Information Systems (3 papers), Semantic Web and Ontologies (3 papers), Private Equity and Venture Capital (2 papers) and FinTech, Crowdfunding, Digital Finance (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (116 citations), Information Systems and Management (85 citations), Museology (19 citations), Information Systems (99 citations) and Conservation (10 citations). Najko Jahn has collaborated with scholars based in Germany, Finland and Austria. Frequent co-authors include Lisa Matthias, Mikael Laakso, Philipp Mayr, Birgit Schmidt, Marion Schmidt, Wolfram Horstmann, Paul Donner, Carl Boettiger, Hao Zhu and Scott Chamberlain. Their work appears in journals such as Scientometrics, Publications, Journal of the Association for Information Science and Technology, PeerJ and Library Hi Tech.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.