Peter Grabitz
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- scientometrics and bibliometrics research
- Meta-analysis and systematic reviews
Papers in
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- Academic Publishing and Open Access 2
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- Cell Image Analysis Techniques 1
- Co-authors
- Ashish Uppala (2 shared papers)Joshua M. Nicholson (2 shared papers)Sean C. Rife (2 shared papers)Patrice Lopez (1 shared paper)Guillaume Cabanac (2 shared papers)Halil Kilicoglu (2 shared papers)Amanda Capes‐Davis (2 shared papers)Nico Riedel (2 shared papers)
- Journals
- BMJ Open (2 papers)Clinical Trials (2 papers)PLoS Biology (1 paper)Nature Medicine (1 paper)BMC Medicine (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Peter Grabitz
10 papers receiving 217 citations
Peers
Comparison fields: 5 of 80
- Health Informatics 19
- Statistics, Probability and Uncertainty 56
- Information Systems and Management 22
- History and Philosophy of Science 8
- Safety Research 13
Countries citing papers authored by Peter Grabitz
This map shows the geographic impact of Peter Grabitz'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 Grabitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Grabitz more than expected).
Fields of papers citing papers by Peter Grabitz
This network shows the impact of papers produced by Peter Grabitz. 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 Grabitz. The network helps show where Peter Grabitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Grabitz, 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 | 2021 | 93 | |
| 2 | 2022 | 42 | |
| 3 | 2021 | 33 | |
| 4 | 2020 | 16 | |
| 5 | 2020 | 12 | |
| 6 | 2020 | 9 | |
| 7 | 2021 | 9 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2022 | 3 | |
| 11 | Automated screening of COVID-19 preprints: Can we help authors to improve transparency and reproducibility? | 2020 | 0 |
About Peter Grabitz
Peter Grabitz is a scholar working on Information Systems and Management, Biophysics, Statistics, Probability and Uncertainty, Communication and Safety Research, having authored 11 papers that have together received 226 indexed citations. Recurring topics across this work include Academic Publishing and Open Access (2 papers), Topic Modeling (2 papers), Cell Image Analysis Techniques (1 paper), Software Engineering Research (1 paper), Delphi Technique in Research (1 paper), Global Health and Surgery (1 paper), Wikis in Education and Collaboration (1 paper) and Career Development and Diversity (1 paper). The work is most often cited by research in Health Informatics (19 citations), Statistics, Probability and Uncertainty (56 citations), Information Systems and Management (22 citations), History and Philosophy of Science (8 citations) and Safety Research (13 citations). Peter Grabitz has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Ashish Uppala, Joshua M. Nicholson, Sean C. Rife, Patrice Lopez, Guillaume Cabanac, Halil Kilicoglu, Amanda Capes‐Davis, Nico Riedel, Anita E. Bandrowski and Nicholas DeVito. Their work appears in journals such as BMJ Open, Clinical Trials, PLoS Biology, Nature Medicine and BMC 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.