Yann Vaxès
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Geometry and Topology top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Electrical and Electronic Engineering
- Co-authors
- Victor ChepoiFeodor F. DraganBertrand EstellonMichel HabibJérémie ChalopinNicolas NisseHartmut NoltemeierYang Xiang
- Topics
- Advanced Graph Theory Research (19 papers)Computational Geometry and Mesh Generation (10 papers)Complexity and Algorithms in Graphs (9 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational Theory and MathematicsDiscrete Mathematics and Combinatorics
- Journals
- European Journal of Operational ResearchBiological ConservationTheoretical Computer Science
- Partner nations
- FranceUnited StatesAustria
In The Last Decade
Yann Vaxès
33 papers receiving 258 citations
Peers
Comparison fields: 5 of 50
- Computational Theory and Mathematics 171
- Computer Networks and Communications 71
- Geometry and Topology 69
- Computer Graphics and Computer-Aided Design 41
- Electrical and Electronic Engineering 33
Countries citing papers authored by Yann Vaxès
This map shows the geographic impact of Yann Vaxès'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 Yann Vaxès with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yann Vaxès more than expected).
Fields of papers citing papers by Yann Vaxès
This network shows the impact of papers produced by Yann Vaxès. 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 Yann Vaxès. The network helps show where Yann Vaxès may publish in the future.
Co-authorship network of co-authors of Yann Vaxès
This figure shows the co-authorship network connecting the top 25 collaborators of Yann Vaxès. A scholar is included among the top collaborators of Yann Vaxès 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 Yann Vaxès. Yann Vaxès 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 | 2 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | Medians in median graphs in linear time. | 1 |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 19 | |
| 10 | 3 | |
| 11 | 30 | |
| 12 | 16 | |
| 13 | 8 | |
| 14 | 13 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 19 | |
| 19 | 2 | |
| 20 | 6 |
About Yann Vaxès
Yann Vaxès is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Geometry and Topology, having authored 36 papers that have together received 271 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (19 papers), Computational Geometry and Mesh Generation (10 papers) and Complexity and Algorithms in Graphs (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (41 citations), Computational Theory and Mathematics (171 citations) and Discrete Mathematics and Combinatorics (28 citations). Yann Vaxès has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Victor Chepoi, Feodor F. Dragan, Bertrand Estellon, Michel Habib, Jérémie Chalopin, Nicolas Nisse, Hartmut Noltemeier, Yang Xiang, Ilan Newman and Toshihide Ibaraki. Their work appears in journals such as European Journal of Operational Research, Biological Conservation and Theoretical Computer Science.
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.