Édgar Roldán
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Advanced Thermodynamics and Statistical Mechanics
- stochastic dynamics and bifurcation
- Statistical Mechanics and Entropy
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
Papers in
-
- Advanced Thermodynamics and Statistical Mechanics 37
- stochastic dynamics and bifurcation 14
- Statistical Mechanics and Entropy 10
- Co-authors
- Juan M. R. ParrondoIgnacio A. MartínezRaúl A. RicaIzaak NeriFrank JülicherLuis DinísSimone PigolottiAna Lisica
In The Last Decade
Édgar Roldán
51 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 97
- Statistical and Nonlinear Physics 1.1k
- Cognitive Neuroscience 246
- Condensed Matter Physics 145
- Atomic and Molecular Physics, and Optics 376
- Physical and Theoretical Chemistry 85
Countries citing papers authored by Édgar Roldán
This map shows the geographic impact of Édgar Roldán'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 Édgar Roldán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Édgar Roldán more than expected).
Fields of papers citing papers by Édgar Roldán
This network shows the impact of papers produced by Édgar Roldán. 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 Édgar Roldán. The network helps show where Édgar Roldán may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Édgar Roldán, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 11 | |
| 9 | 2024 | 11 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2021 | 4 | |
| 14 | 2019 | 15 | |
| 15 | 2019 | 19 | |
| 16 | 2019 | 23 | |
| 17 | 2017 | 111 | |
| 18 | 2017 | 11 | |
| 19 | 2016 | 133 | |
| 20 | 2012 | 103 |
About Édgar Roldán
Édgar Roldán is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (37 papers), stochastic dynamics and bifurcation (14 papers), Statistical Mechanics and Entropy (10 papers), Neural dynamics and brain function (6 papers), Quantum Electrodynamics and Casimir Effect (6 papers), Thermal Radiation and Cooling Technologies (6 papers), Field-Flow Fractionation Techniques (5 papers) and Quantum Mechanics and Applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Cognitive Neuroscience (246 citations), Condensed Matter Physics (145 citations), Atomic and Molecular Physics, and Optics (376 citations) and Physical and Theoretical Chemistry (85 citations). Édgar Roldán has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include Juan M. R. Parrondo, Ignacio A. Martínez, Raúl A. Rica, Izaak Neri, Frank Jülicher, Luis Dinís, Simone Pigolotti, Ana Lisica, Stephan W. Grill and Shamik Gupta. Their work appears in journals such as Physical Review Letters, Europhysics Letters (EPL), Physical review. E, Physical Review X and New Journal of 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.