Miguel Valencia
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 47
- EEG and Brain-Computer Interfaces 23
- Functional Brain Connectivity Studies 12
-
- Neuroscience and Neural Engineering 20
- Neuroscience and Neuropharmacology Research 17
- Neurology top 1%
- Neurological disorders and treatments 20
- Parkinson's Disease Mechanisms and Treatments 14
- Neurology top 5%
- Neurological disorders and treatments 20
- Parkinson's Disease Mechanisms and Treatments 14
- Signal Processing top 5%
- Blind Source Separation Techniques 6
- Co-authors
- Julio ArtiedaManuel AlegreJorge IriarteMario ChávezJorge GuridiMaría Rodríguez‐OrozJosé Á. ObesoJon López‐Azcárate
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Physical Review Letters (3 papers)Nature Communications (1 paper)
- Partner nations
- SpainUnited KingdomFrance
In The Last Decade
Miguel Valencia
93 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 138
- Cognitive Neuroscience 2.1k
- Cellular and Molecular Neuroscience 1.4k
- Neurology 1.1k
- Neurology 223
- Signal Processing 235
Countries citing papers authored by Miguel Valencia
This map shows the geographic impact of Miguel Valencia'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 Miguel Valencia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Valencia more than expected).
Fields of papers citing papers by Miguel Valencia
This network shows the impact of papers produced by Miguel Valencia. 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 Miguel Valencia. The network helps show where Miguel Valencia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Miguel Valencia, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 8 | |
| 6 | 2021 | 7 | |
| 7 | 2019 | 53 | |
| 8 | 2016 | 116 | |
| 9 | 2013 | 108 | |
| 10 | 2013 | 3 | |
| 11 | 2013 | 23 | |
| 12 | 2011 | 60 | |
| 13 | 2010 | 302 | |
| 14 | 2010 | 166 | |
| 15 | 2010 | 192 | |
| 16 | 2008 | 56 | |
| 17 | 2007 | 25 | |
| 18 | 2007 | 47 | |
| 19 | 2005 | 45 | |
| 20 | 2004 | 4 |
About Miguel Valencia
Miguel Valencia is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 96 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (47 papers), EEG and Brain-Computer Interfaces (23 papers), Neuroscience and Neural Engineering (20 papers), Neurological disorders and treatments (20 papers), Neuroscience and Neuropharmacology Research (17 papers), Parkinson's Disease Mechanisms and Treatments (14 papers), Functional Brain Connectivity Studies (12 papers) and Blind Source Separation Techniques (6 papers). The work is most often cited by research in Cognitive Neuroscience (2.1k citations), Cellular and Molecular Neuroscience (1.4k citations) and Neurology (1.1k citations). Miguel Valencia has collaborated with scholars based in Spain, United Kingdom and France. Frequent co-authors include Julio Artieda, Manuel Alegre, Jorge Iriarte, Mario Chávez, Jorge Guridi, María Rodríguez‐Oroz, José Á. Obeso, Jon López‐Azcárate, Elena Urrestarazu and María A. Pastor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.
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.