Jérôme Rousseau
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 5%
- Sociology and Political Science
- Control and Systems Engineering
- Anthropology top 10%
- Co-authors
- David HicksLuc RobbianoAssia BenabdallahBenoît SaussolPhilippe BoisseAlain GasserMatthieu LéautaudTom Harrisson
- Topics
- Mathematical Dynamics and Fractals (9 papers)Numerical methods in inverse problems (8 papers)Quantum chaos and dynamical systems (7 papers)
In The Last Decade
Jérôme Rousseau
26 papers receiving 242 citations
Peers
Comparison fields: 5 of 68
- Mathematical Physics 132
- Computational Theory and Mathematics 88
- Sociology and Political Science 73
- Control and Systems Engineering 61
- Anthropology 38
Countries citing papers authored by Jérôme Rousseau
This map shows the geographic impact of Jérôme Rousseau'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 Jérôme Rousseau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Rousseau more than expected).
Fields of papers citing papers by Jérôme Rousseau
This network shows the impact of papers produced by Jérôme Rousseau. 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 Jérôme Rousseau. The network helps show where Jérôme Rousseau may publish in the future.
Co-authorship network of co-authors of Jérôme Rousseau
This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Rousseau. A scholar is included among the top collaborators of Jérôme Rousseau 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 Jérôme Rousseau. Jérôme Rousseau 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | When sudden economic change is not traumatic: the collapse of meat sharing in central Borneo | 1 |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | Pseudodifferential Multi-Product Representation of the Solution Operator of a Parabolic Equation | 2 |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 12 | |
| 16 | 8 | |
| 17 | 68 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | 7 |
About Jérôme Rousseau
Jérôme Rousseau is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 29 papers that have together received 282 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (9 papers), Numerical methods in inverse problems (8 papers) and Quantum chaos and dynamical systems (7 papers). The work is most often cited by research in Mathematical Physics (132 citations), Computational Theory and Mathematics (88 citations) and Anthropology (38 citations). Jérôme Rousseau has collaborated with scholars based in France, Brazil and Austria. Frequent co-authors include David Hicks, Luc Robbiano, Assia Benabdallah, Benoît Saussol, Philippe Boisse, Alain Gasser, Matthieu Léautaud, Tom Harrisson, Nicolás Lerner and Gilles Lebeau. Their work appears in journals such as Composites Part B Engineering, Transactions of the American Mathematical Society and Inventiones mathematicae.
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.