Guillaume Hoffmann
Impact in
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- Formal Methods in Verification
- Computational Drug Discovery Methods
- Artificial Intelligence top 10%
- Logic, Reasoning, and Knowledge
- Logic, programming, and type systems
- Semantic Web and Ontologies
- Multi-Agent Systems and Negotiation
Papers in
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- Logic, Reasoning, and Knowledge 12
- Logic, programming, and type systems 10
- Semantic Web and Ontologies 6
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- Computational Drug Discovery Methods 7
- Formal Methods in Verification 4
- Co-authors
- Carlos Areces (12 shared papers)Raul Fervari (9 shared papers)Laurent Joubert (7 shared papers)Vincent Tognetti (7 shared papers)Benoît Gaüzère (1 shared paper)Muhammet Balcılar (1 shared paper)Pierre Héroux (1 shared paper)Alexandre Denis (1 shared paper)
In The Last Decade
Guillaume Hoffmann
27 papers receiving 306 citations
Peers
Comparison fields: 5 of 45
- Computational Theory and Mathematics 103
- Artificial Intelligence 158
- Process Chemistry and Technology 10
- Physical and Theoretical Chemistry 27
- Organic Chemistry 56
Countries citing papers authored by Guillaume Hoffmann
This map shows the geographic impact of Guillaume Hoffmann'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 Guillaume Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillaume Hoffmann more than expected).
Fields of papers citing papers by Guillaume Hoffmann
This network shows the impact of papers produced by Guillaume Hoffmann. 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 Guillaume Hoffmann. The network helps show where Guillaume Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Guillaume Hoffmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 44 | |
| 2 | 2020 | 34 | |
| 3 | 2013 | 26 | |
| 4 | 2018 | 24 | |
| 5 | 2012 | 24 | |
| 6 | 2009 | 21 | |
| 7 | 2020 | 19 | |
| 8 | 2018 | 18 | |
| 9 | 1988 | 14 | |
| 10 | 2010 | 14 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 10 | |
| 13 | 2013 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2010 | 5 | |
| 18 | 2016 | 4 | |
| 19 | 2024 | 3 | |
| 20 | HTab: A Terminating Tableaux System for Hybrid Logic | 2007 | 3 |
About Guillaume Hoffmann
Guillaume Hoffmann is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Organic Chemistry, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry, having authored 32 papers that have together received 312 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (12 papers), Logic, programming, and type systems (10 papers), Computational Drug Discovery Methods (7 papers), Semantic Web and Ontologies (6 papers), Advanced Chemical Physics Studies (5 papers), Chemical Reaction Mechanisms (4 papers), Formal Methods in Verification (4 papers) and Spectroscopy and Quantum Chemical Studies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (103 citations), Artificial Intelligence (158 citations), Process Chemistry and Technology (10 citations), Physical and Theoretical Chemistry (27 citations) and Organic Chemistry (56 citations). Guillaume Hoffmann has collaborated with scholars based in France, Argentina and Germany. Frequent co-authors include Carlos Areces, Raul Fervari, Laurent Joubert, Vincent Tognetti, Benoît Gaüzère, Muhammet Balcılar, Pierre Héroux, Alexandre Denis, Sébastien Adam and Christophe Morell. Their work appears in journals such as Theoretical Chemistry Accounts, Journal of Computational Chemistry, Journal of Molecular Modeling, Logic Journal of IGPL and The Journal of Physical Chemistry A.
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.