G. Huet
Impact in
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- Formal Methods in Verification
- semigroups and automata theory
- Artificial Intelligence top 5%
- Logic, programming, and type systems
- Logic, Reasoning, and Knowledge
- Natural Language Processing Techniques
- Semantic Web and Ontologies
Papers in
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- Logic, programming, and type systems 3
- Semantic Web and Ontologies 1
- Natural Language Processing Techniques 1
- Logic, Reasoning, and Knowledge 1
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- Formal Methods in Verification 1
- Co-authors
- Bernard Lang (1 shared paper)John Mylopoulos (1 shared paper)James P. Delgrande (1 shared paper)Wolfgang Bibel (1 shared paper)Edward S. Shapiro (1 shared paper)Alan W. Biermann (1 shared paper)M.E. Stickel (1 shared paper)Mamadou Daffé (1 shared paper)
- Journals
- Theoretical Computer Science (1 paper)Acta Informatica (1 paper)SPIRE - Sciences Po Institutional REpository (1 paper)Medical Entomology and Zoology (1 paper)
- Partner nations
- France
In The Last Decade
G. Huet
6 papers receiving 444 citations
Peers
Comparison fields: 5 of 50
- Computational Theory and Mathematics 302
- Artificial Intelligence 458
- Software 32
- Hardware and Architecture 46
- Information Systems 56
Countries citing papers authored by G. Huet
This map shows the geographic impact of G. Huet'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 G. Huet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Huet more than expected).
Fields of papers citing papers by G. Huet
This network shows the impact of papers produced by G. Huet. 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 G. Huet. The network helps show where G. Huet may publish in the future.
Co-authors
The 9 scholars most cited alongside G. Huet, 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 | 1975 | 245 | |
| 2 | 1978 | 144 | |
| 3 | On the Uniform Halting Problem for Term Rewriting Systems | 1978 | 86 |
| 4 | 1987 | 21 | |
| 5 | 2002 | 4 | |
| 6 | Identification of the Mycobacterium tuberculosis SUF machinery as the exclusive mycobacterial system of [Fe-S] cluster assembly. Evidence for its implication in the pathogen's survival | 2005 | 1 |
About G. Huet
G. Huet is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Molecular Biology and Information Systems, having authored 6 papers that have together received 501 indexed citations. Recurring topics across this work include Logic, programming, and type systems (3 papers), Semantic Web and Ontologies (1 paper), Natural Language Processing Techniques (1 paper), Scientific Computing and Data Management (1 paper), Software Engineering Research (1 paper), Formal Methods in Verification (1 paper), Logic, Reasoning, and Knowledge (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Computational Theory and Mathematics (302 citations), Artificial Intelligence (458 citations), Software (32 citations), Hardware and Architecture (46 citations) and Information Systems (56 citations). G. Huet has collaborated with scholars based in France. Frequent co-authors include Bernard Lang, John Mylopoulos, James P. Delgrande, Wolfgang Bibel, Edward S. Shapiro, Alan W. Biermann, M.E. Stickel, Mamadou Daffé and Isabelle Saves. Their work appears in journals such as Theoretical Computer Science, Acta Informatica, SPIRE - Sciences Po Institutional REpository and Medical Entomology and Zoology.
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.