Jean-Pierre Provost
- Atomic and Molecular Physics, and Optics top 5%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Condensed Matter Physics top 10%
- Materials Chemistry
- Co-authors
- G. ValléeMustapha MaamacheF. RoccaJean-Marc Lévy-LeblondB. MosserM. SirugueG. BerthomieuO. V. Usatenko
- Topics
- Quantum Information and Cryptography (8 papers)Quantum Mechanics and Applications (7 papers)History and Theory of Mathematics (5 papers)
In The Last Decade
Jean-Pierre Provost
28 papers receiving 711 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Atomic and Molecular Physics, and Optics 543
- Statistical and Nonlinear Physics 194
- Artificial Intelligence 178
- Condensed Matter Physics 128
- Materials Chemistry 90
Countries citing papers authored by Jean-Pierre Provost
This map shows the geographic impact of Jean-Pierre Provost'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 Jean-Pierre Provost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Pierre Provost more than expected).
Fields of papers citing papers by Jean-Pierre Provost
This network shows the impact of papers produced by Jean-Pierre Provost. 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 Jean-Pierre Provost. The network helps show where Jean-Pierre Provost may publish in the future.
Co-authorship network of co-authors of Jean-Pierre Provost
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Pierre Provost. A scholar is included among the top collaborators of Jean-Pierre Provost 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 Jean-Pierre Provost. Jean-Pierre Provost 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 | 4 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | Seismological comparison of giant planet interior models. | 8 |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 18 | |
| 14 | 11 | |
| 15 | 3 | |
| 16 | Riemannian structure on manifolds of quantum statesbreakdown → | 539 |
| 17 | 12 | |
| 18 | 7 | |
| 19 | 13 | |
| 20 | 1 |
About Jean-Pierre Provost
Jean-Pierre Provost is a scholar working on Theoretical Computer Science, History and Philosophy of Science and Statistical and Nonlinear Physics, having authored 29 papers that have together received 737 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (8 papers), Quantum Mechanics and Applications (7 papers) and History and Theory of Mathematics (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (543 citations), Statistical and Nonlinear Physics (194 citations) and Condensed Matter Physics (128 citations). Jean-Pierre Provost has collaborated with scholars based in France, Algeria and Belgium. Frequent co-authors include G. Vallée, Mustapha Maamache, F. Rocca, Jean-Marc Lévy-Leblond, B. Mosser, M. Sirugue, G. Berthomieu, O. V. Usatenko, G. Chabrier and T. Guillot. Their work appears in journals such as Physical Review Letters, Physical Review A and Communications in Mathematical Physics.
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.