Jochen Dörre
Impact in
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Logic, programming, and type systems
- Logic, Reasoning, and Knowledge
- Topic Modeling
- Information Systems top 10%
- Data Mining Algorithms and Applications
- Web Data Mining and Analysis
Papers in
-
- Natural Language Processing Techniques 9
- Logic, programming, and type systems 8
- Logic, Reasoning, and Knowledge 5
- Semantic Web and Ontologies 5
- Topic Modeling 3
- Speech and dialogue systems 1
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- semigroups and automata theory 2
- Co-authors
- Peter Gerstl (2 shared papers)Andreas Eisele (3 shared papers)William C. Rounds (2 shared papers)Mark Johnson (1 shared paper)Suresh Manandhar (1 shared paper)Chavdar Botev (1 shared paper)Sihem Amer-Yahia (1 shared paper)Jayavel Shanmugasundaram (1 shared paper)
- Journals
- IBM Systems Journal (1 paper)Journal of Symbolic Computation (1 paper)The COCOON platform (University of Paris) (4 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Jochen Dörre
13 papers receiving 182 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 179
- Information Systems 58
- Software 8
- Computational Theory and Mathematics 31
- Signal Processing 16
Countries citing papers authored by Jochen Dörre
This map shows the geographic impact of Jochen Dörre'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 Jochen Dörre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jochen Dörre more than expected).
Fields of papers citing papers by Jochen Dörre
This network shows the impact of papers produced by Jochen Dörre. 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 Jochen Dörre. The network helps show where Jochen Dörre may publish in the future.
Co-authors
The 8 scholars most cited alongside Jochen Dörre, 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 | 1999 | 86 | |
| 2 | 2003 | 25 | |
| 3 | 1988 | 24 | |
| 4 | 1990 | 18 | |
| 5 | 1986 | 13 | |
| 6 | 2006 | 13 | |
| 7 | 1997 | 11 | |
| 8 | 1992 | 9 | |
| 9 | 1995 | 8 | |
| 10 | 1991 | 7 | |
| 11 | On constraint-based Lambek calculi | 1997 | 5 |
| 12 | 1997 | 2 | |
| 13 | 2002 | 2 | |
| 14 | 1996 | 0 |
About Jochen Dörre
Jochen Dörre is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Information Systems and Signal Processing, having authored 14 papers that have together received 223 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Logic, programming, and type systems (8 papers), Logic, Reasoning, and Knowledge (5 papers), Semantic Web and Ontologies (5 papers), Topic Modeling (3 papers), semigroups and automata theory (2 papers), Speech and dialogue systems (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (179 citations), Information Systems (58 citations), Software (8 citations), Computational Theory and Mathematics (31 citations) and Signal Processing (16 citations). Jochen Dörre has collaborated with scholars based in Germany and United States. Frequent co-authors include Peter Gerstl, Andreas Eisele, William C. Rounds, Mark Johnson, Suresh Manandhar, Chavdar Botev, Sihem Amer-Yahia and Jayavel Shanmugasundaram. Their work appears in journals such as IBM Systems Journal, Journal of Symbolic Computation, The COCOON platform (University of Paris) and arXiv (Cornell University).
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.