Pedro V. Carelli
- Cognitive Neuroscience top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Cellular and Molecular Neuroscience
- Electrical and Electronic Engineering
- Co-authors
- Mauro CopelliFernanda S. MatiasCláudio R. MirassoI. ModenaAna João RodriguesNivaldo A. P. de VasconcelosCarina Soares‐CunhaBárbara Coimbra
- Topics
- Neural dynamics and brain function (22 papers)stochastic dynamics and bifurcation (11 papers)Nonlinear Dynamics and Pattern Formation (9 papers)
In The Last Decade
Pedro V. Carelli
26 papers receiving 468 citations
Peers
Comparison fields: 5 of 73
- Cognitive Neuroscience 351
- Statistical and Nonlinear Physics 206
- Computer Networks and Communications 118
- Cellular and Molecular Neuroscience 114
- Electrical and Electronic Engineering 70
Countries citing papers authored by Pedro V. Carelli
This map shows the geographic impact of Pedro V. Carelli'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 Pedro V. Carelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro V. Carelli more than expected).
Fields of papers citing papers by Pedro V. Carelli
This network shows the impact of papers produced by Pedro V. Carelli. 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 Pedro V. Carelli. The network helps show where Pedro V. Carelli may publish in the future.
Co-authorship network of co-authors of Pedro V. Carelli
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro V. Carelli. A scholar is included among the top collaborators of Pedro V. Carelli 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 Pedro V. Carelli. Pedro V. Carelli 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 | 13 | |
| 4 | 15 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 145 | |
| 8 | 10 | |
| 9 | 15 | |
| 10 | 10 | |
| 11 | 10 | |
| 12 | 24 | |
| 13 | 18 | |
| 14 | 7 | |
| 15 | 40 | |
| 16 | 3 | |
| 17 | 45 | |
| 18 | 15 | |
| 19 | 26 | |
| 20 | 1 |
About Pedro V. Carelli
Pedro V. Carelli is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 487 indexed citations. Recurring topics across this work include Neural dynamics and brain function (22 papers), stochastic dynamics and bifurcation (11 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). The work is most often cited by research in Cognitive Neuroscience (351 citations), Statistical and Nonlinear Physics (206 citations) and Cellular and Molecular Neuroscience (114 citations). Pedro V. Carelli has collaborated with scholars based in Brazil, Spain and Portugal. Frequent co-authors include Mauro Copelli, Fernanda S. Matias, Cláudio R. Mirasso, I. Modena, Ana João Rodrigues, Nivaldo A. P. de Vasconcelos, Carina Soares‐Cunha, Bárbara Coimbra, Leonardo Dalla Porta and Nuno Sousa. Their work appears in journals such as Physical Review Letters, Journal of Neuroscience and PLoS ONE.
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.