Pedro V. Carelli

51 total papers · 795 total citations
28 papers, 484 citations indexed

About

Pedro V. Carelli is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Pedro V. Carelli has authored 28 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 11 papers in Statistical and Nonlinear Physics and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Pedro V. Carelli's work include Neural dynamics and brain function (22 papers), stochastic dynamics and bifurcation (11 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). Pedro V. Carelli is often cited by papers focused on Neural dynamics and brain function (22 papers), stochastic dynamics and bifurcation (11 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). Pedro V. Carelli collaborates with scholars based in Brazil, Spain and Portugal. Pedro V. Carelli's co-authors include Mauro Copelli, Fernanda S. Matias, Cláudio R. Mirasso, I. Modena, Nivaldo A. P. de Vasconcelos, Nuno Sousa, Carina Soares‐Cunha, Reynaldo D. Pinto, Leonardo Dalla Porta and Ana João Rodrigues and has published in prestigious journals such as Physical Review Letters, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Pedro V. Carelli

26 papers receiving 465 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pedro V. Carelli	349	206	118	114	70	28	484
Michele Barbi	177 0.5×	181 0.9×	75 0.6×	101 0.9×	26 0.4×	39	411
Helmut Schwegler	127 0.4×	79 0.4×	40 0.3×	75 0.7×	33 0.5×	39	435
Gemma Huguet	202 0.6×	248 1.2×	143 1.2×	70 0.6×	25 0.4×	25	445
Hatsuo Hayashi	350 1.0×	260 1.3×	161 1.4×	181 1.6×	86 1.2×	37	523
Oleg Kanakov	85 0.2×	280 1.4×	162 1.4×	68 0.6×	35 0.5×	23	470
Rita Guttman	286 0.8×	198 1.0×	132 1.1×	272 2.4×	30 0.4×	20	520
Toshio Utsunomiya	123 0.4×	169 0.8×	119 1.0×	70 0.6×	60 0.9×	28	473
Reynaldo D. Pinto	380 1.1×	223 1.1×	123 1.0×	205 1.8×	122 1.7×	24	489
Inés Samengo	352 1.0×	84 0.4×	20 0.2×	168 1.5×	41 0.6×	42	457
Stefano Cardanobile	278 0.8×	128 0.6×	43 0.4×	195 1.7×	92 1.3×	20	490

Countries citing papers authored by Pedro V. Carelli

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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