Julien Clément
- Artificial Intelligence top 10%
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications top 10%
- Mathematical Physics
- Co-authors
- Philippe FlajoletBrigitte ValléeJoffroy BeauquierFrédérique BassinoMireille RégnierVsevolod J. MakeevMikhail RoytbergValentina Boeva
- Topics
- Algorithms and Data Compression (14 papers)semigroups and automata theory (10 papers)Advanced Combinatorial Mathematics (5 papers)
- Cited by
- Discrete Mathematics and CombinatoricsComputational Theory and MathematicsArtificial Intelligence
- Journals
- IEEE Transactions on Information TheoryInternational Journal for ParasitologyTheoretical Computer Science
- Partner nations
- FranceUnited StatesIsrael
In The Last Decade
Julien Clément
23 papers receiving 212 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 119
- Molecular Biology 68
- Computational Theory and Mathematics 66
- Computer Networks and Communications 61
- Mathematical Physics 26
Countries citing papers authored by Julien Clément
This map shows the geographic impact of Julien Clément'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 Julien Clément with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julien Clément more than expected).
Fields of papers citing papers by Julien Clément
This network shows the impact of papers produced by Julien Clément. 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 Julien Clément. The network helps show where Julien Clément may publish in the future.
Co-authorship network of co-authors of Julien Clément
This figure shows the co-authorship network connecting the top 25 collaborators of Julien Clément. A scholar is included among the top collaborators of Julien Clément 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 Julien Clément. Julien Clément 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 30 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | Power-law and stable distributions of BGP paths | 0 |
| 14 | 27 | |
| 15 | 6 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 8 | |
| 20 | 54 |
About Julien Clément
Julien Clément is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Equine, having authored 26 papers that have together received 229 indexed citations. Recurring topics across this work include Algorithms and Data Compression (14 papers), semigroups and automata theory (10 papers) and Advanced Combinatorial Mathematics (5 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (14 citations), Computational Theory and Mathematics (66 citations) and Artificial Intelligence (119 citations). Julien Clément has collaborated with scholars based in France, United States and Israel. Frequent co-authors include Philippe Flajolet, Brigitte Vallée, Joffroy Beauquier, Frédérique Bassino, Mireille Régnier, Vsevolod J. Makeev, Mikhail Roytberg, Valentina Boeva, Shay Kutten and Alain Bousquet‐mélou. Their work appears in journals such as IEEE Transactions on Information Theory, International Journal for Parasitology 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.