Roberto Latorre
Impact in
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- Neural dynamics and brain function
Papers in
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- Neural dynamics and brain function 14
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- Neuroscience and Neural Engineering 5
- Neurobiology and Insect Physiology Research 4
- Co-authors
- Pablo Varona (13 shared papers)Francisco B. Rodrı́guez (6 shared papers)Isabel Barja (4 shared papers)M. I. Rabinovich (2 shared papers)Rafael Levi (2 shared papers)Joaquı́n J. Torres (2 shared papers)Ana Piñeiro (1 shared paper)Juan Carlos Illera (1 shared paper)
- Journals
- Neurocomputing (5 papers)Scientific Reports (2 papers)Biological Cybernetics (2 papers)PLoS ONE (2 papers)Applied Animal Behaviour Science (1 paper)
- Partner nations
- SpainEcuadorUnited States
In The Last Decade
Roberto Latorre
24 papers receiving 198 citations
Peers
Comparison fields: 5 of 59
- Cognitive Neuroscience 103
- Software 11
- Computer Science Applications 15
- Cellular and Molecular Neuroscience 49
- Statistical and Nonlinear Physics 30
Countries citing papers authored by Roberto Latorre
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
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-authors
The 11 scholars most cited alongside Roberto Latorre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 27 | |
| 2 | 2019 | 23 | |
| 3 | 2014 | 18 | |
| 4 | 2013 | 16 | |
| 5 | 2013 | 14 | |
| 6 | 2013 | 13 | |
| 7 | 2017 | 13 | |
| 8 | 2004 | 12 | |
| 9 | 2018 | 11 | |
| 10 | 2010 | 11 | |
| 11 | 2016 | 10 | |
| 12 | 2006 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2015 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2015 | 3 | |
| 19 | 2007 | 2 | |
| 20 | 2018 | 1 |
About Roberto Latorre
Roberto Latorre is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence and Information Systems, having authored 26 papers that have together received 205 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Advanced Memory and Neural Computing (8 papers), Neuroscience and Neural Engineering (5 papers), Neural Networks and Applications (4 papers), stochastic dynamics and bifurcation (4 papers), Neurobiology and Insect Physiology Research (4 papers), Software Engineering Techniques and Practices (3 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (103 citations), Software (11 citations), Computer Science Applications (15 citations), Cellular and Molecular Neuroscience (49 citations) and Statistical and Nonlinear Physics (30 citations). Roberto Latorre has collaborated with scholars based in Spain, Ecuador and United States. Frequent co-authors include Pablo Varona, Francisco B. Rodrı́guez, Isabel Barja, M. I. Rabinovich, Rafael Levi, Joaquı́n J. Torres, Ana Piñeiro, Juan Carlos Illera, Ma Carmen Hernández and Gema Silván. Their work appears in journals such as Neurocomputing, Scientific Reports, Biological Cybernetics, PLoS ONE and Applied Animal Behaviour Science.
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.