Bruno Schapira
- Mathematical Physics top 5%
- Statistics and Probability top 5%
- Applied Mathematics top 5%
- Statistical and Nonlinear Physics
- Condensed Matter Physics
- Co-authors
- Amine AsselahPerla SousiNadine Guillotin‐PlantardFrançoise PèneFabienne CastellOlivier RaimondItaï BenjaminiGady Kozma
- Topics
- Stochastic processes and statistical mechanics (33 papers)Markov Chains and Monte Carlo Methods (18 papers)Mathematical Dynamics and Fractals (15 papers)
- Journals
- Communications on Pure and Applied MathematicsTransactions of the American Mathematical SocietyThe Annals of Probability
- Partner nations
- FranceUnited KingdomNetherlands
In The Last Decade
Bruno Schapira
32 papers receiving 188 citations
Peers
Comparison fields: 5 of 27
- Mathematical Physics 166
- Statistics and Probability 71
- Applied Mathematics 64
- Statistical and Nonlinear Physics 28
- Condensed Matter Physics 25
Countries citing papers authored by Bruno Schapira
This map shows the geographic impact of Bruno Schapira'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 Bruno Schapira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Schapira more than expected).
Fields of papers citing papers by Bruno Schapira
This network shows the impact of papers produced by Bruno Schapira. 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 Bruno Schapira. The network helps show where Bruno Schapira may publish in the future.
Co-authorship network of co-authors of Bruno Schapira
This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Schapira. A scholar is included among the top collaborators of Bruno Schapira 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 Bruno Schapira. Bruno Schapira 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | Deviations for the Capacity of the Range of a Random Walk | 8 |
| 9 | 15 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 14 | |
| 18 | 2 | |
| 19 | Marche aléatoire sur un immeuble affine de type $\tilde{A}_r$ et mouvement brownien de la chambre de Weyl | 0 |
| 20 | 17 |
About Bruno Schapira
Bruno Schapira is a scholar working on Mathematical Physics, Statistics and Probability and Statistical and Nonlinear Physics, having authored 41 papers that have together received 198 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (33 papers), Markov Chains and Monte Carlo Methods (18 papers) and Mathematical Dynamics and Fractals (15 papers). The work is most often cited by research in Mathematical Physics (166 citations), Statistics and Probability (71 citations) and Applied Mathematics (64 citations). Bruno Schapira has collaborated with scholars based in France, United Kingdom and Netherlands. Frequent co-authors include Amine Asselah, Perla Sousi, Nadine Guillotin‐Plantard, Françoise Pène, Fabienne Castell, Olivier Raimond, Itaï Benjamini, Gady Kozma, Robert M. Young and Yueyun Hu. Their work appears in journals such as Communications on Pure and Applied Mathematics, Transactions of the American Mathematical Society and The Annals of Probability.
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.