Paul Donner
Impact in
-
- scientometrics and bibliometrics research
- Meta-analysis and systematic reviews
-
- Academic Publishing and Open Access
- Technology Adoption and User Behaviour
Papers in
-
- scientometrics and bibliometrics research 12
- Meta-analysis and systematic reviews 3
-
- Research Data Management Practices 4
- Co-authors
- Nees Jan van Eck (1 shared paper)Marion Andrea Schmidt (2 shared papers)Ulrich Schmoch (1 shared paper)Philipp Mayr (1 shared paper)Najko Jahn (1 shared paper)Ian McAllister (1 shared paper)Linda Butler (1 shared paper)Sybille Hinze (1 shared paper)
In The Last Decade
Paul Donner
19 papers receiving 237 citations
Paul Donner's Hit Papers
Peers
Comparison fields: 5 of 78
- Statistics, Probability and Uncertainty 107
- Information Systems and Management 32
- Library and Information Sciences 5
- Information Systems 58
- Health Informatics 3
Countries citing papers authored by Paul Donner
This map shows the geographic impact of Paul Donner'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 Paul Donner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Donner more than expected).
Fields of papers citing papers by Paul Donner
This network shows the impact of papers produced by Paul Donner. 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 Paul Donner. The network helps show where Paul Donner may publish in the future.
Co-authors
The 13 scholars most cited alongside Paul Donner, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 68 | |
| 2 | Reference coverage analysis of OpenAlex compared to Web of Science and Scopus Hit paper breakdown → | 2025 | 38 |
| 3 | 2019 | 33 | |
| 4 | 2018 | 28 | |
| 5 | 2011 | 20 | |
| 6 | 2020 | 9 | |
| 7 | 2019 | 6 | |
| 8 | 2024 | 6 | |
| 9 | 2021 | 5 | |
| 10 | Bibliometric study for German National Academy of Sciences Leopoldina in the disciplines Public Health and Epidemiology | 2015 | 5 |
| 11 | 2021 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2014 | 4 | |
| 14 | 2020 | 4 | |
| 15 | Document Type Assignment Accuracy in Citation Index Data Sources. | 2015 | 3 |
| 16 | 2025 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 0 |
About Paul Donner
Paul Donner is a scholar working on Statistics, Probability and Uncertainty, Information Systems, Management Science and Operations Research, Artificial Intelligence and Molecular Biology, having authored 22 papers that have together received 247 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (12 papers), Biomedical Text Mining and Ontologies (6 papers), Research Data Management Practices (4 papers), Meta-analysis and systematic reviews (3 papers), Topic Modeling (3 papers), Advanced Text Analysis Techniques (2 papers), Data Quality and Management (2 papers) and Academic Writing and Publishing (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (107 citations), Information Systems and Management (32 citations), Library and Information Sciences (5 citations), Information Systems (58 citations) and Health Informatics (3 citations). Paul Donner has collaborated with scholars based in Germany, Spain and Australia. Frequent co-authors include Nees Jan van Eck, Marion Andrea Schmidt, Ulrich Schmoch, Philipp Mayr, Najko Jahn, Ian McAllister, Linda Butler, Sybille Hinze, Pei‐Shan Chi and Lutz Bornmann. Their work appears in journals such as Scientometrics, Quantitative Science Studies, Journal of Informetrics, Journal of the Association for Information Science and Technology and The Electronic Library.
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.