Nicolas Sourlas
- Condensed Matter Physics top 1%
- Statistical and Nonlinear Physics top 2%
- Mathematical Physics top 2%
- Economics and Econometrics top 5%
- Materials Chemistry
- Co-authors
- Giorgio ParisiG. ToulouseM. A. VirasoroMarc MézardMarco PiccoV. Martı́n-MayorNikolaos G. FytasDavid C. Sherrington
- Topics
- Theoretical and Computational Physics (16 papers)Stochastic processes and statistical mechanics (10 papers)Complex Network Analysis Techniques (7 papers)
- Partner nations
- FranceItalyUnited Kingdom
In The Last Decade
Nicolas Sourlas
21 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Condensed Matter Physics 887
- Statistical and Nonlinear Physics 409
- Mathematical Physics 338
- Economics and Econometrics 299
- Materials Chemistry 230
Countries citing papers authored by Nicolas Sourlas
This map shows the geographic impact of Nicolas Sourlas'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 Nicolas Sourlas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Sourlas more than expected).
Fields of papers citing papers by Nicolas Sourlas
This network shows the impact of papers produced by Nicolas Sourlas. 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 Nicolas Sourlas. The network helps show where Nicolas Sourlas may publish in the future.
Co-authorship network of co-authors of Nicolas Sourlas
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Sourlas. A scholar is included among the top collaborators of Nicolas Sourlas 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 Nicolas Sourlas. Nicolas Sourlas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 34 | |
| 3 | 34 | |
| 4 | 43 | |
| 5 | 8 | |
| 6 | On the phase transition of the 3D random field Ising model | 9 |
| 7 | 13 | |
| 8 | 56 | |
| 9 | 37 | |
| 10 | 210 | |
| 11 | 7 | |
| 12 | 42 | |
| 13 | 15 | |
| 14 | Replica symmetry breaking and the nature of the spin glass phasebreakdown → | 314 |
| 15 | Nature of the Spin-Glass Phasebreakdown → | 382 |
| 16 | 18 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 12 |
About Nicolas Sourlas
Nicolas Sourlas is a scholar working on Condensed Matter Physics, Mathematical Physics and Statistics and Probability, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (16 papers), Stochastic processes and statistical mechanics (10 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Condensed Matter Physics (887 citations), Mathematical Physics (338 citations) and Statistical and Nonlinear Physics (409 citations). Nicolas Sourlas has collaborated with scholars based in France, Italy and United Kingdom. Frequent co-authors include Giorgio Parisi, G. Toulouse, M. A. Virasoro, Marc Mézard, Marco Picco, V. Martı́n-Mayor, Nikolaos G. Fytas, David C. Sherrington, Jayanth R. Banavar and A C C Coolen. Their work appears in journals such as Nature, Physical Review Letters and Physics Reports.
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.