Caroline Devred
Impact in
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- Multi-Agent Systems and Negotiation
- Logic, Reasoning, and Knowledge
- Semantic Web and Ontologies
- Bayesian Modeling and Causal Inference
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- Business Process Modeling and Analysis
Papers in
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- Multi-Agent Systems and Negotiation 5
- Logic, Reasoning, and Knowledge 5
- Semantic Web and Ontologies 1
- Logic, programming, and type systems 1
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- Constraint Satisfaction and Optimization 1
- Co-authors
- Marie-Christine Lagasquie-Schiex (3 shared papers)Sylvie Coste-Marquis (2 shared papers)Sébastien Konieczny (1 shared paper)Pierre Marquis (2 shared papers)Leïla Amgoud (2 shared papers)Elise Bonzon (1 shared paper)
- Journals
- Artificial Intelligence (1 paper)International Journal of Approximate Reasoning (1 paper)Journal of Applied Non-Classical Logics (1 paper)Annals of Mathematics and Artificial Intelligence (1 paper)International Journal of Artificial Intelligence Tools (1 paper)
- Partner nations
- France
In The Last Decade
Caroline Devred
3 papers receiving 87 citations
Peers
Comparison fields: 5 of 11
- Artificial Intelligence 90
- Management Information Systems 11
- Management Science and Operations Research 12
- Sociology and Political Science 18
- Economics and Econometrics 8
Countries citing papers authored by Caroline Devred
This map shows the geographic impact of Caroline Devred'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 Caroline Devred with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Devred more than expected).
Fields of papers citing papers by Caroline Devred
This network shows the impact of papers produced by Caroline Devred. 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 Caroline Devred. The network helps show where Caroline Devred may publish in the future.
Co-authors
The 6 scholars most cited alongside Caroline Devred, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Caroline Devred
Caroline Devred is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Information Systems, Sociology and Political Science and Infectious Diseases, having authored 5 papers that have together received 92 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (5 papers), Logic, Reasoning, and Knowledge (5 papers), Access Control and Trust (1 paper), Constraint Satisfaction and Optimization (1 paper), Semantic Web and Ontologies (1 paper), Logic, programming, and type systems (1 paper) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (90 citations), Management Information Systems (11 citations), Management Science and Operations Research (12 citations), Sociology and Political Science (18 citations) and Economics and Econometrics (8 citations). Caroline Devred has collaborated with scholars based in France. Frequent co-authors include Marie-Christine Lagasquie-Schiex, Sylvie Coste-Marquis, Sébastien Konieczny, Pierre Marquis, Leïla Amgoud and Elise Bonzon. Their work appears in journals such as Artificial Intelligence, International Journal of Approximate Reasoning, Journal of Applied Non-Classical Logics, Annals of Mathematics and Artificial Intelligence and International Journal of Artificial Intelligence Tools.
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.