Frédéric Koriche
Impact in
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- Data Management and Algorithms
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- Bayesian Modeling and Causal Inference
- AI-based Problem Solving and Planning
- Semantic Web and Ontologies
- Explainable Artificial Intelligence (XAI)
- Logic, Reasoning, and Knowledge
Papers in
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- Bayesian Modeling and Causal Inference 6
- Semantic Web and Ontologies 3
- AI-based Problem Solving and Planning 3
- Explainable Artificial Intelligence (XAI) 3
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- Constraint Satisfaction and Optimization 4
- Co-authors
- Bruno Zanuttini (2 shared papers)Barry O’Sullivan (2 shared papers)Christian Bessière (3 shared papers)Pierre Marquis (3 shared papers)Jean-Marie Lagniez (3 shared papers)Gilles Audemard (3 shared papers)Rémi Coletta (2 shared papers)Yang Gao (1 shared paper)
In The Last Decade
Frédéric Koriche
16 papers receiving 128 citations
Peers
Comparison fields: 5 of 39
- Signal Processing 32
- Artificial Intelligence 80
- Computer Networks and Communications 54
- Software 7
- Management Science and Operations Research 20
Countries citing papers authored by Frédéric Koriche
This map shows the geographic impact of Frédéric Koriche'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 Frédéric Koriche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Koriche more than expected).
Fields of papers citing papers by Frédéric Koriche
This network shows the impact of papers produced by Frédéric Koriche. 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 Frédéric Koriche. The network helps show where Frédéric Koriche may publish in the future.
Co-authors
The 14 scholars most cited alongside Frédéric Koriche, 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 | 2015 | 42 | |
| 2 | 2010 | 30 | |
| 3 | 2022 | 15 | |
| 4 | 2018 | 9 | |
| 5 | Acquiring constraint networks using a SAT-based version space algorithm | 2006 | 7 |
| 6 | 2022 | 7 | |
| 7 | 2022 | 6 | |
| 8 | 2015 | 4 | |
| 9 | 2020 | 2 | |
| 10 | 2022 | 2 | |
| 11 | Approximate Reasoning about Combined Knowledge | 1998 | 1 |
| 12 | Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets. | 2010 | 1 |
| 13 | 2012 | 1 | |
| 14 | 2002 | 1 | |
| 15 | Branch and Learn pour l'acquisition de CSP | 2012 | 1 |
| 16 | 2017 | 1 | |
| 17 | 2002 | 1 |
About Frédéric Koriche
Frédéric Koriche is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Signal Processing and Computational Theory and Mathematics, having authored 17 papers that have together received 131 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (6 papers), Constraint Satisfaction and Optimization (4 papers), Data Management and Algorithms (3 papers), Semantic Web and Ontologies (3 papers), AI-based Problem Solving and Planning (3 papers), Advanced Bandit Algorithms Research (3 papers), Rough Sets and Fuzzy Logic (3 papers) and Explainable Artificial Intelligence (XAI) (3 papers). The work is most often cited by research in Signal Processing (32 citations), Artificial Intelligence (80 citations), Computer Networks and Communications (54 citations), Software (7 citations) and Management Science and Operations Research (20 citations). Frédéric Koriche has collaborated with scholars based in France, Ireland and China. Frequent co-authors include Bruno Zanuttini, Barry O’Sullivan, Christian Bessière, Pierre Marquis, Jean-Marie Lagniez, Gilles Audemard, Rémi Coletta, Yang Gao, Hao Wang and Éric Piette. Their work appears in journals such as Artificial Intelligence, Journal of Applied Non-Classical Logics, Constraints, Machine Learning and IEEE Transactions on Neural Networks and Learning Systems.
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.