Frédéric Koriche
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
- Artificial Intelligence top 10%
- Bayesian Modeling and Causal Inference
- AI-based Problem Solving and Planning
- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
- Explainable Artificial Intelligence (XAI)
Papers in
-
- Bayesian Modeling and Causal Inference 9
- Logic, Reasoning, and Knowledge 8
- Semantic Web and Ontologies 8
- AI-based Problem Solving and Planning 7
- Machine Learning and Algorithms 6
-
- Constraint Satisfaction and Optimization 8
- Co-authors
- Christian Bessière (4 shared papers)Barry O’Sullivan (3 shared papers)Bruno Zanuttini (3 shared papers)Rémi Coletta (3 shared papers)Pierre Marquis (3 shared papers)Gilles Audemard (3 shared papers)Jean-Marie Lagniez (4 shared papers)Jérôme Lang (2 shared papers)
In The Last Decade
Frédéric Koriche
29 papers receiving 302 citations
Peers
Comparison fields: 5 of 46
- Signal Processing 79
- Artificial Intelligence 213
- Computer Networks and Communications 140
- Software 16
- Management Science and Operations Research 44
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 17 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
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 61 | |
| 2 | 2005 | 51 | |
| 3 | 2010 | 41 | |
| 4 | 2022 | 26 | |
| 5 | 2010 | 25 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 14 | |
| 8 | Acquiring constraint networks using a SAT-based version space algorithm | 2006 | 13 |
| 9 | 2018 | 9 | |
| 10 | 1998 | 7 | |
| 11 | 2015 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 1998 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2001 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2005 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2002 | 2 | |
| 20 | 2001 | 2 |
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 32 papers that have together received 307 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Logic, Reasoning, and Knowledge (8 papers), Constraint Satisfaction and Optimization (8 papers), Semantic Web and Ontologies (8 papers), AI-based Problem Solving and Planning (7 papers), Machine Learning and Algorithms (6 papers), Data Management and Algorithms (5 papers) and Rough Sets and Fuzzy Logic (5 papers). The work is most often cited by research in Signal Processing (79 citations), Artificial Intelligence (213 citations), Computer Networks and Communications (140 citations), Software (16 citations) and Management Science and Operations Research (44 citations). Frédéric Koriche has collaborated with scholars based in France, Ireland and China. Frequent co-authors include Christian Bessière, Barry O’Sullivan, Bruno Zanuttini, Rémi Coletta, Pierre Marquis, Gilles Audemard, Jean-Marie Lagniez, Jérôme Lang, Jérôme Mengin and Yann Chevaleyre. Their work appears in journals such as Artificial Intelligence, Lecture notes in computer science, Machine Learning, IEEE Transactions on Neural Networks and Learning Systems and Journal of Applied Non-Classical Logics.
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.