Kai Kumpf

8 papers receiving 167 citations

Peers

Kai Kumpf
Comparison fields: 5 of 56
  • General Psychology 4
  • Information Systems and Management 19
  • Experimental and Cognitive Psychology 34
  • Health Informatics 2
  • Cognitive Neuroscience 28
Replace Fong-Lin Jang with:
Fong-Lin Jang Taiwan
James Welch United Kingdom
Bela Usabaev Germany
Haruhiko Takeuchi Japan
Bénédicte Batrancourt France
Alexander Bowring United Kingdom
Graham Walker United Kingdom
Margaret King United States
Stephan Heunis Netherlands
Dylan Wood United States
Kai Kumpf relative to Fong-Lin Jang Taiwan Fong-Lin Jang's profile →
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Citations per year

Countries citing papers authored by Kai Kumpf

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 25 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.

Border = papers with Kai Kumpf Line = papers co-authored together Kai Kumpf links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 199758
2 199748
3 200720
4 200817
5 200515
6
The @neurIST ontology of intracranial aneurysms: providing terminological services for an integrated IT infrastructure.
200714
7 20087
8
Design of an Ontology on Cerebral Aneurysms: Representing the Conceptual Space of the @neurIST Project
20072

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 8 papers that have together received 181 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Scientific Computing and Data Management (3 papers), Service-Oriented Architecture and Web Services (2 papers), Semantic Web and Ontologies (2 papers), Distributed and Parallel Computing Systems (2 papers), Neuroscience and Neural Engineering (1 paper), linguistics and terminology studies (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in General Psychology (4 citations), Information Systems and Management (19 citations), Experimental and Cognitive Psychology (34 citations), Health Informatics (2 citations) and Cognitive Neuroscience (28 citations). Kai Kumpf has collaborated with scholars based in Germany, Austria and Japan. Frequent co-authors include Zbigniew J. Kowalik, Günter Schiepek, Thomas Elbert, Larry E. Roberts, Wolfgang H. R. Miltner, Ingmar Gutberlet, Thomas Weiß, Jens Ehrhardt, Martin Hofmann‐Apitius and Antonio Arbona. Their work appears in journals such as IEEE Transactions on NanoBioscience, Current Topics in Medicinal Chemistry, Psychotherapy Research, Neuroscience Letters and PubMed.

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.

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