Mauro Copelli
- Cognitive Neuroscience top 1%
- Statistical and Nonlinear Physics top 0.5%
- Artificial Intelligence top 2%
- Psychiatry and Mental health top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Osame KinouchiSidarta RibeiroNatália Bezerra MotaGuillermo CecchiMariano SigmanPedro V. CarelliFacundo CarrilloDiego Fernández Slezak
- Topics
- Neural dynamics and brain function (49 papers)stochastic dynamics and bifurcation (31 papers)Nonlinear Dynamics and Pattern Formation (27 papers)
- Cited by
- Cognitive NeuroscienceStatistical and Nonlinear PhysicsExperimental and Cognitive Psychology
- Partner nations
- BrazilSpainUnited States
In The Last Decade
Mauro Copelli
82 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Cognitive Neuroscience 1.8k
- Statistical and Nonlinear Physics 800
- Artificial Intelligence 475
- Psychiatry and Mental health 418
- Experimental and Cognitive Psychology 394
Countries citing papers authored by Mauro Copelli
This map shows the geographic impact of Mauro Copelli'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 Mauro Copelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Copelli more than expected).
Fields of papers citing papers by Mauro Copelli
This network shows the impact of papers produced by Mauro Copelli. 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 Mauro Copelli. The network helps show where Mauro Copelli may publish in the future.
Co-authorship network of co-authors of Mauro Copelli
This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Copelli. A scholar is included among the top collaborators of Mauro Copelli 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 Mauro Copelli. Mauro Copelli 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 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 46 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 42 | |
| 10 | 49 | |
| 11 | 19 | |
| 12 | 110 | |
| 13 | 12 | |
| 14 | 92 | |
| 15 | 40 | |
| 16 | 2 | |
| 17 | 165 | |
| 18 | 17 | |
| 19 | Physics of Psychophysics: Dynamic Range of Excitable Networks is Optimized at Criticality | 1 |
| 20 | Noise robustness in the perceptron. | 1 |
About Mauro Copelli
Mauro Copelli is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 84 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (49 papers), stochastic dynamics and bifurcation (31 papers) and Nonlinear Dynamics and Pattern Formation (27 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Statistical and Nonlinear Physics (800 citations) and Experimental and Cognitive Psychology (394 citations). Mauro Copelli has collaborated with scholars based in Brazil, Spain and United States. Frequent co-authors include Osame Kinouchi, Sidarta Ribeiro, Natália Bezerra Mota, Guillermo Cecchi, Mariano Sigman, Pedro V. Carelli, Facundo Carrillo, Diego Fernández Slezak, Gillinder Bedi and Daniel C. Javitt. Their work appears in journals such as Physical Review Letters, PLoS ONE and NeuroImage.
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.