Thomas Schiex

4.9k total citations
58 papers, 1.5k citations indexed

About

Thomas Schiex is a scholar working on Computer Networks and Communications, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Thomas Schiex has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 25 papers in Molecular Biology and 19 papers in Artificial Intelligence. Recurrent topics in Thomas Schiex's work include Constraint Satisfaction and Optimization (24 papers), Protein Structure and Dynamics (13 papers) and RNA and protein synthesis mechanisms (11 papers). Thomas Schiex is often cited by papers focused on Constraint Satisfaction and Optimization (24 papers), Protein Structure and Dynamics (13 papers) and RNA and protein synthesis mechanisms (11 papers). Thomas Schiex collaborates with scholars based in France, Spain and Morocco. Thomas Schiex's co-authors include Simon de Givry, Javier Larrosa, Gérard Verfaillie, Patrick Chabrier, David J. Milan, Sophie Barbe, Martin Cooper, David Allouche, Francesca Rossi and Stefano Bistarelli and has published in prestigious journals such as Journal of the American Chemical Society, Bioinformatics and PLoS ONE.

In The Last Decade

Thomas Schiex

55 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Schiex France 20 560 471 364 286 261 58 1.5k
Simon de Givry France 15 212 0.4× 311 0.7× 157 0.4× 286 1.0× 140 0.5× 37 883
Frank Dehne Canada 22 396 0.7× 596 1.3× 209 0.6× 153 0.5× 338 1.3× 119 1.6k
Danny Kriz̧anc United States 23 1.2k 2.1× 487 1.0× 264 0.7× 77 0.3× 448 1.7× 145 2.1k
Ming‐Yang Kao United States 23 774 1.4× 411 0.9× 502 1.4× 28 0.1× 418 1.6× 92 1.6k
Ron Y. Pinter Israel 20 215 0.4× 869 1.8× 159 0.4× 142 0.5× 298 1.1× 71 1.8k
Jiong Guo Germany 21 345 0.6× 265 0.6× 268 0.7× 21 0.1× 826 3.2× 83 1.3k
María García de la Banda Australia 19 285 0.5× 335 0.7× 463 1.3× 20 0.1× 252 1.0× 81 1.1k
Ilya Muchnik United States 18 59 0.1× 1.1k 2.4× 318 0.9× 74 0.3× 341 1.3× 68 1.8k
Raffaele Giancarlo Italy 24 214 0.4× 907 1.9× 1.1k 3.1× 59 0.2× 369 1.4× 89 1.7k
Giovanni Manzini Italy 26 445 0.8× 1.2k 2.5× 1.9k 5.2× 167 0.6× 611 2.3× 86 2.5k

Countries citing papers authored by Thomas Schiex

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Thomas Schiex

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Schiex. A scholar is included among the top collaborators of Thomas Schiex based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Schiex. Thomas Schiex is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Balestrino, Damien, Vanessa Soldan, Jérémy Esque, et al.. (2025). Promiscuous structural cross-compatibilities between major shell components of Klebsiella pneumoniae bacterial microcompartments. PLoS ONE. 20(5). e0322518–e0322518. 1 indexed citations
2.
Adolf‐Bryfogle, Jared, James W. Bowman, Sebástien Vérel, et al.. (2024). Complete combinatorial mutational enumeration of a protein functional site enables sequence‐landscape mapping and identifies highly‐mutated variants that retain activity. Protein Science. 33(8). e5109–e5109. 1 indexed citations
3.
Schiex, Thomas, et al.. (2022). Computational Design of Miniprotein Binders. Methods in molecular biology. 2405. 361–382. 2 indexed citations
4.
Cohen, Helit, Claire Hoede, Charles Coluzzi, et al.. (2022). Intracellular Salmonella Paratyphi A is motile and differs in the expression of flagella-chemotaxis, SPI-1 and carbon utilization pathways in comparison to intracellular S. Typhimurium. PLoS Pathogens. 18(4). e1010425–e1010425. 5 indexed citations
5.
Padhi, Aditya K., Sophie Barbe, Thomas Schiex, et al.. (2021). Seven Amino Acid Types Suffice to Create the Core Fold of RNA Polymerase. Journal of the American Chemical Society. 143(39). 15998–16006. 20 indexed citations
6.
Noguchi, Hiroki, Christine Addy, David Simoncini, et al.. (2018). Computational design of symmetrical eight-bladed β-propeller proteins. IUCrJ. 6(1). 46–55. 27 indexed citations
7.
Simoncini, David, Kam Y. J. Zhang, Thomas Schiex, & Sophie Barbe. (2018). A structural homology approach for computational protein design with flexible backbone. Bioinformatics. 35(14). 2418–2426. 4 indexed citations
8.
Traoré, Seydou, David Allouche, Isabelle André, Thomas Schiex, & Sophie Barbe. (2016). Deterministic Search Methods for Computational Protein Design. Methods in molecular biology. 1529. 107–123. 7 indexed citations
9.
Allouche, David, Christian Bessière, Patrice Boizumault, et al.. (2016). Tractability-preserving transformations of global cost functions. Artificial Intelligence. 238. 166–189. 3 indexed citations
10.
Allouche, David, Isabelle André, Sophie Barbe, et al.. (2014). Computational protein design as an optimization problem. Artificial Intelligence. 212. 59–79. 36 indexed citations
11.
Vignes, Matthieu, Jimmy Vandel, David Allouche, et al.. (2011). Gene Regulatory Network Reconstruction Using Bayesian Networks, the Dantzig Selector, the Lasso and Their Meta-Analysis. PLoS ONE. 6(12). e29165–e29165. 59 indexed citations
12.
Givry, Simon de, Christophe Hitte, Y. Lahbib‐Mansais, et al.. (2009). Contribution of Radiation Hybrids to Genome Mapping in Domestic Animals. Cytogenetic and Genome Research. 126(1-2). 21–33. 12 indexed citations
13.
Heras, Federico, Javier Larrosa, Simon de Givry, & Thomas Schiex. (2008). 2006 and 2007 Max-SAT Evaluations: Contributed Instances. 4(2-4). 239–250. 14 indexed citations
14.
Sánchez-Fibla, Martí, Simon de Givry, & Thomas Schiex. (2008). Mendelian Error Detection in Complex Pedigrees Using Weighted Constraint Satisfaction Techniques. Constraints. 13(1-2). 130–154. 26 indexed citations
15.
Larrosa, Javier & Thomas Schiex. (2004). Solving weighted CSP by maintaining arc consistency. Artificial Intelligence. 159(1-2). 1–26. 80 indexed citations
16.
Givry, Simon de, et al.. (2004). CARHTA GENE: multipopulation integrated genetic and radiation hybrid mapping. Computer applications in the biosciences. 21(8). 1703–1704. 315 indexed citations
17.
Larrosa, Javier & Thomas Schiex. (2003). In the quest of the best form of local consistency for weighted CSP. International Joint Conference on Artificial Intelligence. 239–244. 61 indexed citations
18.
Cooper, Martin & Thomas Schiex. (2003). Arc consistency for soft constraints. Artificial Intelligence. 154(1-2). 199–227. 66 indexed citations
19.
Larrosa, Javier, et al.. (1999). Maintaining reversible DAC for Max-CSP. Artificial Intelligence. 107(1). 149–163. 48 indexed citations
20.
Schiex, Thomas & Gérard Verfaillie. (1994). Stubborness: a possible enhancement for backjumping and nogood recording. European Conference on Artificial Intelligence. 165–172. 8 indexed citations

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.

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