Peter Eckmann
Impact in
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- Meta-analysis and systematic reviews
- scientometrics and bibliometrics research
Papers in
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- Academic Publishing and Open Access 5
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- scientometrics and bibliometrics research 2
- Co-authors
- Anita E. Bandrowski (10 shared papers)Jeffrey Sean Grethe (2 shared papers)Maryann Elizabeth Martone (1 shared paper)Mason Pairish (1 shared paper)Halil Kilicoglu (4 shared papers)René Bernard (3 shared papers)Gerben ter Riet (5 shared papers)Jennifer Anne Byrne (3 shared papers)
- Journals
- eLife (2 papers)PLoS ONE (2 papers)Antimicrobial Agents and Chemotherapy (1 paper)Science (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Peter Eckmann
10 papers receiving 227 citations
Peers
Comparison fields: 5 of 58
- Health Informatics 11
- Statistics, Probability and Uncertainty 49
- Information Systems and Management 40
- Radiology, Nuclear Medicine and Imaging 30
- Molecular Biology 83
Countries citing papers authored by Peter Eckmann
This map shows the geographic impact of Peter Eckmann'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 Peter Eckmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Eckmann more than expected).
Fields of papers citing papers by Peter Eckmann
This network shows the impact of papers produced by Peter Eckmann. 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 Peter Eckmann. The network helps show where Peter Eckmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Eckmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 47 | |
| 2 | 2022 | 39 | |
| 3 | 2023 | 33 | |
| 4 | 2021 | 33 | |
| 5 | 2023 | 29 | |
| 6 | 2023 | 24 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 11 | |
| 9 | 2024 | 7 | |
| 10 | 2026 | 1 | |
| 11 | Automated screening of COVID-19 preprints: Can we help authors to improve transparency and reproducibility? | 2020 | 0 |
| 12 | 2022 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2026 | 0 |
About Peter Eckmann
Peter Eckmann is a scholar working on Information Systems and Management, Statistics, Probability and Uncertainty, Safety Research, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 14 papers that have together received 239 indexed citations. Recurring topics across this work include Academic Publishing and Open Access (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Biosimilars and Bioanalytical Methods (2 papers), Computational Drug Discovery Methods (2 papers), Advanced Biosensing Techniques and Applications (2 papers), RNA and protein synthesis mechanisms (2 papers), scientometrics and bibliometrics research (2 papers) and Academic integrity and plagiarism (2 papers). The work is most often cited by research in Health Informatics (11 citations), Statistics, Probability and Uncertainty (49 citations), Information Systems and Management (40 citations), Radiology, Nuclear Medicine and Imaging (30 citations) and Molecular Biology (83 citations). Peter Eckmann has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Anita E. Bandrowski, Jeffrey Sean Grethe, Maryann Elizabeth Martone, Mason Pairish, Halil Kilicoglu, René Bernard, Gerben ter Riet, Jennifer Anne Byrne, Tracey Lynn Weissgerber and Rose Wai Man Yu. Their work appears in journals such as eLife, PLoS ONE, Antimicrobial Agents and Chemotherapy, Science and Nature Medicine.
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.