Kai Kumpf
Impact in
-
- Scientific Computing and Data Management
-
- Electronic Health Records Systems
Papers in
-
- Biomedical Text Mining and Ontologies 4
- Genetics, Bioinformatics, and Biomedical Research 1
- Bioinformatics and Genomic Networks 1
-
- Scientific Computing and Data Management 3
- Co-authors
- Martin Hofmann‐Apitius (3 shared papers)Antonio Arbona (2 shared papers)Philippe Bijlenga (2 shared papers)Siegfried Benkner (2 shared papers)Gerhard Engelbrecht (2 shared papers)Stefan Schulz (1 shared paper)Guy Lonsdale (1 shared paper)Marc Zimmermann (1 shared paper)
- Journals
- IEEE Transactions on NanoBioscience (1 paper)Current Topics in Medicinal Chemistry (1 paper)PubMed (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)IEEE Transactions on Information Technology in Biomedicine (1 paper)
- Partner nations
- GermanyAustriaSwitzerland
In The Last Decade
Kai Kumpf
6 papers receiving 60 citations
Peers
Comparison fields: 5 of 25
- Information Systems and Management 17
- Health Information Management 7
- Health Informatics 2
- Artificial Intelligence 28
- Computational Theory and Mathematics 12
Countries citing papers authored by Kai Kumpf
This map shows the geographic impact of Kai Kumpf'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 Kai Kumpf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Kumpf more than expected).
Fields of papers citing papers by Kai Kumpf
This network shows the impact of papers produced by Kai Kumpf. 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 Kai Kumpf. The network helps show where Kai Kumpf may publish in the future.
Co-authors
The 24 scholars most cited alongside Kai Kumpf, 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 | 2008 | 16 | |
| 2 | 2007 | 15 | |
| 3 | 2005 | 14 | |
| 4 | The @neurIST ontology of intracranial aneurysms: providing terminological services for an integrated IT infrastructure. | 2007 | 12 |
| 5 | 2008 | 6 | |
| 6 | Design of an Ontology on Cerebral Aneurysms: Representing the Conceptual Space of the @neurIST Project | 2007 | 2 |
About Kai Kumpf
Kai Kumpf is a scholar working on Molecular Biology, Information Systems and Management, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 6 papers that have together received 65 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Scientific Computing and Data Management (3 papers), Semantic Web and Ontologies (2 papers), Distributed and Parallel Computing Systems (2 papers), Service-Oriented Architecture and Web Services (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Bioinformatics and Genomic Networks (1 paper) and Distributed systems and fault tolerance (1 paper). The work is most often cited by research in Information Systems and Management (17 citations), Health Information Management (7 citations), Health Informatics (2 citations), Artificial Intelligence (28 citations) and Computational Theory and Mathematics (12 citations). Kai Kumpf has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Martin Hofmann‐Apitius, Antonio Arbona, Philippe Bijlenga, Siegfried Benkner, Gerhard Engelbrecht, Stefan Schulz, Guy Lonsdale, Marc Zimmermann, Martin Boeker and Juliane Fluck. Their work appears in journals such as IEEE Transactions on NanoBioscience, Current Topics in Medicinal Chemistry, PubMed, Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and IEEE Transactions on Information Technology in Biomedicine.
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.