Marvin Kampf
Impact in
- Health Information Management top 10%
- Electronic Health Records Systems
Papers in
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- Biomedical Text Mining and Ontologies 3
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- Medical Coding and Health Information 1
- Electronic Health Records Systems 1
- Co-authors
- Hans‐Ulrich Prokosch (4 shared papers)Sebastian Mate (4 shared papers)Christian Gülden (2 shared papers)Julian Gruendner (2 shared papers)Dennis Toddenroth (2 shared papers)Lorenz A. Kapsner (3 shared papers)Jakob Zierk (1 shared paper)Detlef Kraska (1 shared paper)
- Journals
- Journal of Biomedical Informatics (1 paper)Applied Clinical Informatics (1 paper)International Journal of Medical Informatics (1 paper)JMIR Medical Informatics (1 paper)Studies in health technology and informatics (1 paper)
- Partner nations
- GermanySwitzerlandFinland
In The Last Decade
Marvin Kampf
6 papers receiving 93 citations
Peers
Comparison fields: 5 of 36
- Health Informatics 8
- Health Information Management 27
- Management Science and Operations Research 28
- Artificial Intelligence 53
- Information Systems and Management 7
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 | 19 | |
| 4 | 2019 | 11 | |
| 5 | 2019 | 10 | |
| 6 | 2021 | 1 |
About Marvin Kampf
Marvin Kampf is a scholar working on Molecular Biology, Health Information Management, Management Science and Operations Research, Infectious Diseases and Computer Networks and Communications, having authored 6 papers that have together received 95 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Data Quality and Management (2 papers), Data Management and Algorithms (1 paper), Natural Language Processing Techniques (1 paper), Long-Term Effects of COVID-19 (1 paper), Medical Coding and Health Information (1 paper), Electronic Health Records Systems (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Health Informatics (8 citations), Health Information Management (27 citations), Management Science and Operations Research (28 citations), Artificial Intelligence (53 citations) and Information Systems and Management (7 citations). Marvin Kampf has collaborated with scholars based in Germany, Switzerland and Finland. Frequent co-authors include Hans‐Ulrich Prokosch, Sebastian Mate, Christian Gülden, Julian Gruendner, Dennis Toddenroth, Lorenz A. Kapsner, Jakob Zierk, Detlef Kraska, Tobias Gradinger and Susanne A. Seuchter. Their work appears in journals such as Journal of Biomedical Informatics, Applied Clinical Informatics, International Journal of Medical 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.