Simon de Givry
- Molecular Biology
- Plant Science top 10%
- Genetics top 10%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Co-authors
- Thomas SchiexPatrick ChabrierDavid J. MilanDavid AlloucheSophie BarbeMartí Sánchez-FiblaFederico HerasJavier Larrosa
- Topics
- Constraint Satisfaction and Optimization (16 papers)Bayesian Modeling and Causal Inference (8 papers)Genetic Mapping and Diversity in Plants and Animals (6 papers)
In The Last Decade
Simon de Givry
34 papers receiving 848 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 311
- Plant Science 286
- Genetics 239
- Computer Networks and Communications 212
- Artificial Intelligence 157
Countries citing papers authored by Simon de Givry
This map shows the geographic impact of Simon de Givry'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 Simon de Givry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon de Givry more than expected).
Fields of papers citing papers by Simon de Givry
This network shows the impact of papers produced by Simon de Givry. 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 Simon de Givry. The network helps show where Simon de Givry may publish in the future.
Co-authorship network of co-authors of Simon de Givry
This figure shows the co-authorship network connecting the top 25 collaborators of Simon de Givry. A scholar is included among the top collaborators of Simon de Givry 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 Simon de Givry. Simon de Givry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 20 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 36 | |
| 10 | 59 | |
| 11 | 62 | |
| 12 | 12 | |
| 13 | 14 | |
| 14 | 26 | |
| 15 | 39 | |
| 16 | 19 | |
| 17 | Décomposition arborescente et cohérence locale souple dans les CSP pondérés | 1 |
| 18 | 315 | |
| 19 | ToOLS: A Library for Partial and Hybrid Search Methods | 2 |
| 20 | 86 |
About Simon de Givry
Simon de Givry is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Software, having authored 37 papers that have together received 883 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (16 papers), Bayesian Modeling and Causal Inference (8 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). The work is most often cited by research in Computer Networks and Communications (212 citations), Computational Theory and Mathematics (140 citations) and Genetics (239 citations). Simon de Givry has collaborated with scholars based in France, Morocco and Spain. Frequent co-authors include Thomas Schiex, Patrick Chabrier, David J. Milan, David Allouche, Sophie Barbe, Martí Sánchez-Fibla, Federico Heras, Javier Larrosa, B. Cabon and Joost P. Warners. Their work appears in journals such as Bioinformatics, PLoS ONE and Journal of Chemical Theory and Computation.
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.