Marc Mézard
- Condensed Matter Physics top 0.05%
- Statistical and Nonlinear Physics top 0.05%
- Artificial Intelligence top 0.2%
- Materials Chemistry top 2%
- Economics and Econometrics top 0.2%
- Co-authors
- Giorgio ParisiM. A. VirasoroAndrea MontanariRiccardo ZecchinaD. J. ThoulessJean‐Philippe BouchaudWerner KrauthJean‐Pierre Nadal
- Topics
- Theoretical and Computational Physics (74 papers)Stochastic processes and statistical mechanics (29 papers)Complex Systems and Time Series Analysis (26 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Marc Mézard
151 papers receiving 15.2k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Condensed Matter Physics 7.0k
- Statistical and Nonlinear Physics 4.3k
- Artificial Intelligence 3.4k
- Materials Chemistry 2.7k
- Economics and Econometrics 2.3k
Countries citing papers authored by Marc Mézard
This map shows the geographic impact of Marc Mézard'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 Marc Mézard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Mézard more than expected).
Fields of papers citing papers by Marc Mézard
This network shows the impact of papers produced by Marc Mézard. 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 Marc Mézard. The network helps show where Marc Mézard may publish in the future.
Co-authorship network of co-authors of Marc Mézard
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Mézard. A scholar is included among the top collaborators of Marc Mézard 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 Marc Mézard. Marc Mézard 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 | 20 | |
| 4 | 20 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 55 | |
| 8 | Hard constraint satisfaction problems | 0 |
| 9 | Statistical physics of group testing | 3 |
| 10 | 13 | |
| 11 | Group testing with random pools: Phase transitions and optimal strategy | 11 |
| 12 | Complex systems : École d'été de physique des Houches, session LXXXV, 3-28 July 2006 : École thématique du CNRS | 1 |
| 13 | 23 | |
| 14 | Pairs of SAT Assignments and Clustering in Random Boolean Formulae | 10 |
| 15 | 121 | |
| 16 | 13 | |
| 17 | A first principle computation of the low temperature thermodynamics of glasses | 1 |
| 18 | How to compute the thermodynamics of a glass using a cloned liquid | 35 |
| 19 | Basins of attraction in a perceptron-like neural network | 22 |
| 20 | Spin Glass Theory and Beyondbreakdown → | 2589 |
About Marc Mézard
Marc Mézard is a scholar working on Condensed Matter Physics, Mathematical Physics and Statistical and Nonlinear Physics, having authored 158 papers that have together received 15.8k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (74 papers), Stochastic processes and statistical mechanics (29 papers) and Complex Systems and Time Series Analysis (26 papers). The work is most often cited by research in Condensed Matter Physics (7.0k citations), Statistical and Nonlinear Physics (4.3k citations) and Mathematical Physics (2.1k citations). Marc Mézard has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Giorgio Parisi, M. A. Virasoro, Andrea Montanari, Riccardo Zecchina, D. J. Thouless, Jean‐Philippe Bouchaud, Werner Krauth, Jean‐Pierre Nadal, G. Toulouse and Lenka Zdeborová. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.