Roberto Latorre

48 total papers · 440 total citations
25 papers, 204 citations indexed

About

Roberto Latorre is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Roberto Latorre has authored 25 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Roberto Latorre's work include Neural dynamics and brain function (14 papers), Advanced Memory and Neural Computing (8 papers) and Neuroscience and Neural Engineering (5 papers). Roberto Latorre is often cited by papers focused on Neural dynamics and brain function (14 papers), Advanced Memory and Neural Computing (8 papers) and Neuroscience and Neural Engineering (5 papers). Roberto Latorre collaborates with scholars based in Spain, United States and Ecuador. Roberto Latorre's co-authors include Pablo Varona, Francisco B. Rodrı́guez, Isabel Barja, M. I. Rabinovich, Rafael Levi, Joaquı́n J. Torres, Gema Silván, Ana Piñeiro, Ma Carmen Hernández and Juan Carlos Illera and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Software Engineering.

In The Last Decade

Roberto Latorre

24 papers receiving 197 citations

Author Peers

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

Author Last Decade Papers Cites
Roberto Latorre 103 49 37 36 30 25 204
Thiago Mosqueiro 39 0.4× 42 0.9× 21 0.6× 33 0.9× 12 0.4× 15 280
Philip J. Harding 90 0.9× 11 0.2× 19 0.5× 20 0.6× 22 0.7× 17 189
Michael Currie 40 0.4× 29 0.6× 36 1.0× 10 0.3× 5 0.2× 14 225
Richard Gast 159 1.5× 61 1.2× 7 0.2× 25 0.7× 43 1.4× 13 239
Marina V. Khramova 134 1.3× 9 0.2× 16 0.4× 13 0.4× 24 0.8× 42 208
Thomas LoFaro 117 1.1× 27 0.6× 64 1.7× 12 0.3× 103 3.4× 18 281
Hao Jiang 68 0.7× 67 1.4× 21 0.6× 28 0.8× 6 0.2× 30 265
Ryosuke Hosaka 151 1.5× 97 2.0× 8 0.2× 32 0.9× 14 0.5× 31 262
Taro Tezuka 32 0.3× 11 0.2× 44 1.2× 11 0.3× 10 0.3× 38 185
Philippe Vincent‐Lamarre 35 0.3× 13 0.3× 24 0.6× 14 0.4× 4 0.1× 14 187

Countries citing papers authored by Roberto Latorre

Since Specialization
Citations

This map shows the geographic impact of Roberto Latorre'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 Roberto Latorre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Latorre more than expected).

Fields of papers citing papers by Roberto Latorre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Latorre. 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 Roberto Latorre. The network helps show where Roberto Latorre may publish in the future.

Co-authorship network of co-authors of Roberto Latorre

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Latorre. A scholar is included among the top collaborators of Roberto Latorre 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 Roberto Latorre. Roberto Latorre 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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