Thomas Schiex
Impact in
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- Constraint Satisfaction and Optimization
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Constraint Satisfaction and Optimization 24
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- Protein Structure and Dynamics 13
- RNA and protein synthesis mechanisms 9
- Co-authors
- Simon de Givry (21 shared papers)Javier Larrosa (6 shared papers)Gérard Verfaillie (10 shared papers)Patrick Chabrier (2 shared papers)David J. Milan (1 shared paper)Sophie Barbe (18 shared papers)Martin Cooper (1 shared paper)David Allouche (10 shared papers)
In The Last Decade
Thomas Schiex
55 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 112
- Computer Networks and Communications 564
- Signal Processing 246
- Computational Theory and Mathematics 243
- Artificial Intelligence 369
- Management Science and Operations Research 132
Countries citing papers authored by Thomas Schiex
This map shows the geographic impact of Thomas Schiex'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 Thomas Schiex with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Schiex more than expected).
Fields of papers citing papers by Thomas Schiex
This network shows the impact of papers produced by Thomas Schiex. 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 Thomas Schiex. The network helps show where Thomas Schiex may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Schiex, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 316 | |
| 2 | 1999 | 132 | |
| 3 | 1999 | 86 | |
| 4 | 2004 | 80 | |
| 5 | 1994 | 75 | |
| 6 | 2003 | 66 | |
| 7 | In the quest of the best form of local consistency for weighted CSP | 2003 | 61 |
| 8 | 2011 | 59 | |
| 9 | 1999 | 48 | |
| 10 | 2013 | 44 | |
| 11 | 2014 | 37 | |
| 12 | 2015 | 34 | |
| 13 | 1998 | 28 | |
| 14 | 2018 | 27 | |
| 15 | 2008 | 26 | |
| 16 | 2021 | 25 | |
| 17 | 2016 | 22 | |
| 18 | 2021 | 22 | |
| 19 | 2016 | 21 | |
| 20 | 2006 | 20 |
About Thomas Schiex
Thomas Schiex is a scholar working on Computer Networks and Communications, Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics and Signal Processing, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (24 papers), Protein Structure and Dynamics (13 papers), Bayesian Modeling and Causal Inference (11 papers), Data Management and Algorithms (9 papers), RNA and protein synthesis mechanisms (9 papers), AI-based Problem Solving and Planning (6 papers), Formal Methods in Verification (5 papers) and Logic, Reasoning, and Knowledge (4 papers). The work is most often cited by research in Computer Networks and Communications (564 citations), Signal Processing (246 citations), Computational Theory and Mathematics (243 citations), Artificial Intelligence (369 citations) and Management Science and Operations Research (132 citations). Thomas Schiex has collaborated with scholars based in France, Morocco and Spain. Frequent co-authors include Simon de Givry, Javier Larrosa, Gérard Verfaillie, Patrick Chabrier, David J. Milan, Sophie Barbe, Martin Cooper, David Allouche, Stefano Bistarelli and Hélène Fargier. Their work appears in journals such as Bioinformatics, Constraints, Artificial Intelligence, PLoS ONE and International Journal of Molecular Sciences.
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.