Nicolas Schabanel
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Statistical and Nonlinear Physics top 10%
- Molecular Biology
- Artificial Intelligence
- Co-authors
- Claire KenyonEmmanuelle LebharNicolas HanussePhilippe DuchonÉric ThierryJ. Ignacio Alvarez-HamelinPablo ArrighiCody Geary
- Topics
- Cellular Automata and Applications (4 papers)Peer-to-Peer Network Technologies (3 papers)Optimization and Search Problems (3 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsComputational Theory and Mathematics
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesThe European Physical Journal B
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
Nicolas Schabanel
14 papers receiving 149 citations
Peers
Comparison fields: 5 of 43
- Computer Networks and Communications 88
- Computational Theory and Mathematics 43
- Statistical and Nonlinear Physics 38
- Molecular Biology 29
- Artificial Intelligence 16
Countries citing papers authored by Nicolas Schabanel
This map shows the geographic impact of Nicolas Schabanel'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 Nicolas Schabanel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Schabanel more than expected).
Fields of papers citing papers by Nicolas Schabanel
This network shows the impact of papers produced by Nicolas Schabanel. 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 Nicolas Schabanel. The network helps show where Nicolas Schabanel may publish in the future.
Co-authorship network of co-authors of Nicolas Schabanel
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Schabanel. A scholar is included among the top collaborators of Nicolas Schabanel 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 Nicolas Schabanel. Nicolas Schabanel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 9 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 27 | |
| 10 | 22 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | The data broadcast problem with non-uniform transmission times | 48 |
| 14 | 5 | |
| 15 | Basic Linear Algebra Operations in SLI Arithmetic | NIST | 0 |
About Nicolas Schabanel
Nicolas Schabanel is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Computer Networks and Communications, having authored 15 papers that have together received 159 indexed citations. Recurring topics across this work include Cellular Automata and Applications (4 papers), Peer-to-Peer Network Technologies (3 papers) and Optimization and Search Problems (3 papers). The work is most often cited by research in Computer Networks and Communications (88 citations), Statistical and Nonlinear Physics (38 citations) and Computational Theory and Mathematics (43 citations). Nicolas Schabanel has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Claire Kenyon, Emmanuelle Lebhar, Nicolas Hanusse, Philippe Duchon, Éric Thierry, J. Ignacio Alvarez-Hamelin, Pablo Arrighi, Cody Geary, Afonso Ferreira and Shinnosuke Seki. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and The European Physical Journal B.
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.