Marvin Kampf
Impact in
- Health Information Management top 10%
- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
Papers in
-
- COVID-19 Clinical Research Studies 1
-
- Advanced Database Systems and Queries 1
- Constraint Satisfaction and Optimization 1
- Co-authors
- Hans‐Ulrich Prokosch (4 shared papers)Christian Gülden (2 shared papers)Sebastian Mate (3 shared papers)Julian Gruendner (2 shared papers)Dennis Toddenroth (2 shared papers)Lorenz A. Kapsner (3 shared papers)Jakob Zierk (1 shared paper)Tobias Gradinger (1 shared paper)
- Journals
- International Journal of Medical Informatics (1 paper)Journal of Biomedical Informatics (1 paper)Applied Clinical Informatics (1 paper)JMIR Medical Informatics (1 paper)Studies in health technology and informatics (1 paper)
- Partner nations
- GermanyFinlandSwitzerland
In The Last Decade
Marvin Kampf
6 papers receiving 95 citations
Peers
Comparison fields: 5 of 29
- Health Informatics 7
- Health Information Management 18
- Management Science and Operations Research 15
- Artificial Intelligence 37
- Medical Laboratory Technology 1
Countries citing papers authored by Marvin Kampf
This map shows the geographic impact of Marvin Kampf'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 Marvin Kampf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marvin Kampf more than expected).
Fields of papers citing papers by Marvin Kampf
This network shows the impact of papers produced by Marvin Kampf. 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 Marvin Kampf. The network helps show where Marvin Kampf may publish in the future.
Co-authors
The 25 scholars most cited alongside Marvin Kampf, 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 | 2019 | 30 | |
| 2 | 2019 | 24 | |
| 3 | 2021 | 21 | |
| 4 | 2019 | 11 | |
| 5 | 2019 | 10 | |
| 6 | 2021 | 1 |
About Marvin Kampf
Marvin Kampf is a scholar working on Infectious Diseases, Computer Networks and Communications, Neurology, Oncology and Signal Processing, having authored 6 papers that have together received 97 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (1 paper), Long-Term Effects of COVID-19 (1 paper), Data Management and Algorithms (1 paper), Advanced Database Systems and Queries (1 paper), Constraint Satisfaction and Optimization (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Health Informatics (7 citations), Health Information Management (18 citations), Management Science and Operations Research (15 citations), Artificial Intelligence (37 citations) and Medical Laboratory Technology (1 citation). Marvin Kampf has collaborated with scholars based in Germany, Finland and Switzerland. Frequent co-authors include Hans‐Ulrich Prokosch, Christian Gülden, Sebastian Mate, Julian Gruendner, Dennis Toddenroth, Lorenz A. Kapsner, Jakob Zierk, Tobias Gradinger, Susanne A. Seuchter and Detlef Kraska. Their work appears in journals such as International Journal of Medical Informatics, Journal of Biomedical Informatics, Applied Clinical Informatics, JMIR Medical Informatics and Studies in health technology and informatics.
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.