Manuel Beirán
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
- EEG and Brain-Computer Interfaces
-
- stochastic dynamics and bifurcation
Papers in
-
- Neural dynamics and brain function 10
-
- Neuroscience and Neural Engineering 3
- Neuroscience and Neuropharmacology Research 1
- Co-authors
- Srdjan Ostojic (3 shared papers)Alexis Dubreuil (1 shared paper)Francesca Mastrogiuseppe (1 shared paper)Benjamin M. Friedrich (1 shared paper)Steffen Werner (1 shared paper)Jochen C. Rink (1 shared paper)Frank Jülicher (1 shared paper)Hansem Sohn (1 shared paper)
- Journals
- Nature Neuroscience (2 papers)PLoS Computational Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Current Biology (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Manuel Beirán
12 papers receiving 240 citations
Peers
Comparison fields: 5 of 48
- Cognitive Neuroscience 160
- Statistical and Nonlinear Physics 28
- Cellular and Molecular Neuroscience 39
- Artificial Intelligence 59
- Paleontology 9
Countries citing papers authored by Manuel Beirán
This map shows the geographic impact of Manuel Beirán'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 Manuel Beirán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Beirán more than expected).
Fields of papers citing papers by Manuel Beirán
This network shows the impact of papers produced by Manuel Beirán. 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 Manuel Beirán. The network helps show where Manuel Beirán may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuel Beirán, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 98 | |
| 2 | 2015 | 54 | |
| 3 | 2023 | 32 | |
| 4 | 2019 | 18 | |
| 5 | 2023 | 10 | |
| 6 | 2017 | 10 | |
| 7 | 2023 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2025 | 2 |
About Manuel Beirán
Manuel Beirán is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 12 papers that have together received 242 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Neural Networks and Applications (4 papers), Advanced Memory and Neural Computing (4 papers), Neuroscience and Neural Engineering (3 papers), stochastic dynamics and bifurcation (2 papers), Plant and Biological Electrophysiology Studies (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Cephalopods and Marine Biology (1 paper). The work is most often cited by research in Cognitive Neuroscience (160 citations), Statistical and Nonlinear Physics (28 citations), Cellular and Molecular Neuroscience (39 citations), Artificial Intelligence (59 citations) and Paleontology (9 citations). Manuel Beirán has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Srdjan Ostojic, Alexis Dubreuil, Francesca Mastrogiuseppe, Benjamin M. Friedrich, Steffen Werner, Jochen C. Rink, Frank Jülicher, Hansem Sohn, Mehrdad Jazayeri and Nicolas Meirhaeghe. Their work appears in journals such as Nature Neuroscience, PLoS Computational Biology, Proceedings of the National Academy of Sciences, Current Biology and Cell Reports.
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.