Holger Sturm
Impact in
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- Logic, Reasoning, and Knowledge
- Semantic Web and Ontologies
- Multi-Agent Systems and Negotiation
- Logic, programming, and type systems
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- Advanced Algebra and Logic
Papers in
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- Logic, Reasoning, and Knowledge 9
- Semantic Web and Ontologies 6
- Logic, programming, and type systems 2
- Multi-Agent Systems and Negotiation 2
- Natural Language Processing Techniques 1
- Bayesian Modeling and Causal Inference 1
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- Advanced Algebra and Logic 4
- Co-authors
- Frank Wolter (6 shared papers)Michael Zakharyaschev (4 shared papers)Oliver Kutz (2 shared papers)Norihiro Suzuki (2 shared papers)Carsten Lutz (2 shared papers)Franz Baader (1 shared paper)Hans Rott (1 shared paper)
- Journals
- Studia Logica (3 papers)Journal of Logic and Computation (1 paper)ACM Transactions on Computational Logic (1 paper)Journal of Applied Non-Classical Logics (1 paper)Notre Dame Journal of Formal Logic (1 paper)
- Partner nations
- GermanyUnited KingdomJapan
In The Last Decade
Holger Sturm
11 papers receiving 69 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 77
- Computational Theory and Mathematics 28
- Computer Networks and Communications 29
- Signal Processing 12
- Software 2
Countries citing papers authored by Holger Sturm
This map shows the geographic impact of Holger Sturm'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 Holger Sturm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holger Sturm more than expected).
Fields of papers citing papers by Holger Sturm
This network shows the impact of papers produced by Holger Sturm. 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 Holger Sturm. The network helps show where Holger Sturm may publish in the future.
Co-authors
The 7 scholars most cited alongside Holger Sturm, 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 | 2003 | 27 | |
| 2 | 2002 | 15 | |
| 3 | 2002 | 13 | |
| 4 | 2002 | 8 | |
| 5 | 2002 | 8 | |
| 6 | Fusions of Description Logics. | 2000 | 6 |
| 7 | 2001 | 2 | |
| 8 | 2000 | 2 | |
| 9 | Von Rang und Namen : philosophical essays in honour of Wolfgang Spohn | 2016 | 2 |
| 10 | 1998 | 1 | |
| 11 | 2000 | 1 |
About Holger Sturm
Holger Sturm is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 11 papers that have together received 85 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (9 papers), Semantic Web and Ontologies (6 papers), Advanced Algebra and Logic (4 papers), Logic, programming, and type systems (2 papers), Multi-Agent Systems and Negotiation (2 papers), Biomedical Text Mining and Ontologies (1 paper), Natural Language Processing Techniques (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Artificial Intelligence (77 citations), Computational Theory and Mathematics (28 citations), Computer Networks and Communications (29 citations), Signal Processing (12 citations) and Software (2 citations). Holger Sturm has collaborated with scholars based in Germany, United Kingdom and Japan. Frequent co-authors include Frank Wolter, Michael Zakharyaschev, Oliver Kutz, Norihiro Suzuki, Carsten Lutz, Franz Baader and Hans Rott. Their work appears in journals such as Studia Logica, Journal of Logic and Computation, ACM Transactions on Computational Logic, Journal of Applied Non-Classical Logics and Notre Dame Journal of Formal Logic.
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.