Alain Guénoche
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Genetics
- Co-authors
- Christine BrunJean‐Pierre BarthélemyBernard JacqDavid MartinFrançois ChevenetJérôme WojcikCarl HerrmannPierre Hansen
- Topics
- Bioinformatics and Genomic Networks (12 papers)Complex Network Analysis Techniques (7 papers)Advanced Graph Theory Research (7 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Alain Guénoche
51 papers receiving 913 citations
Peers
Comparison fields: 5 of 130
- Molecular Biology 560
- Computational Theory and Mathematics 304
- Artificial Intelligence 190
- Statistical and Nonlinear Physics 100
- Genetics 88
Countries citing papers authored by Alain Guénoche
This map shows the geographic impact of Alain Guénoche'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 Alain Guénoche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alain Guénoche more than expected).
Fields of papers citing papers by Alain Guénoche
This network shows the impact of papers produced by Alain Guénoche. 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 Alain Guénoche. The network helps show where Alain Guénoche may publish in the future.
Co-authorship network of co-authors of Alain Guénoche
This figure shows the co-authorship network connecting the top 25 collaborators of Alain Guénoche. A scholar is included among the top collaborators of Alain Guénoche 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 Alain Guénoche. Alain Guénoche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 35 | |
| 3 | 9 | |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 83 | |
| 9 | 197 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 18 | |
| 14 | 15 | |
| 15 | Construction du treillis de Galois d'une relation binaire | 28 |
| 16 | Cinq algorithmes d'approximation d'une dissimilarié par des arbres à distances additives | 3 |
| 17 | Méthodes ordinales et combinatoires en analyse des données | 4 |
| 18 | Raisonnement et méthodes mathématiques en archéologie | 0 |
| 19 | Essai de construction d'un modèle descriptif des amphores Dr. 20 | 3 |
| 20 | Construction de mots circulaires aléatoires uniformément distribués | 1 |
About Alain Guénoche
Alain Guénoche is a scholar working on Computational Theory and Mathematics, Theoretical Computer Science and Discrete Mathematics and Combinatorics, having authored 53 papers that have together received 968 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (12 papers), Complex Network Analysis Techniques (7 papers) and Advanced Graph Theory Research (7 papers). The work is most often cited by research in Computational Theory and Mathematics (304 citations), Statistical and Nonlinear Physics (100 citations) and Molecular Biology (560 citations). Alain Guénoche has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Christine Brun, Jean‐Pierre Barthélemy, Bernard Jacq, David Martin, François Chevenet, Jérôme Wojcik, Carl Herrmann, Pierre Hansen, Brigitte Jaumard and Charles E. Chapple. Their work appears in journals such as Bioinformatics, European Journal of Operational Research and Genome biology.
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.