Mónica Cano
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 19
- Functional Brain Connectivity Studies 18
- EEG and Brain-Computer Interfaces 17
- Visual perception and processing mechanisms 2
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- Neuroscience and Neural Engineering 2
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- Quantum optics and atomic interactions 1
- Atomic and Subatomic Physics Research 1
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- Machine Learning in Healthcare 1
- Co-authors
- Miguel Ángel Tola-ArribasJesús PozaCarlos GómezRoberto HorneroTatiana BezdudnayaHarvey A. SwadlowJosé‐Manuel AlonsoYulia Bereshpolova
- Journals
- NeuroImage (3 papers)Journal of Neural Engineering (3 papers)Journal of Neurophysiology (2 papers)
- Partner nations
- SpainJapanUnited States
In The Last Decade
Mónica Cano
23 papers receiving 553 citations
Peers
Comparison fields: 5 of 74
- Cognitive Neuroscience 482
- Cellular and Molecular Neuroscience 144
- Neurology 34
- Psychiatry and Mental health 55
- Sensory Systems 17
Countries citing papers authored by Mónica Cano
This map shows the geographic impact of Mónica Cano'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 Mónica Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónica Cano more than expected).
Fields of papers citing papers by Mónica Cano
This network shows the impact of papers produced by Mónica Cano. 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 Mónica Cano. The network helps show where Mónica Cano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mónica Cano, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2021 | 33 | |
| 7 | 2020 | 15 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 3 | |
| 10 | 2018 | 21 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 109 | |
| 13 | 2017 | 20 | |
| 14 | 2008 | 12 | |
| 15 | 2006 | 101 | |
| 16 | 2006 | 42 | |
| 17 | 2005 | 3 | |
| 18 | 2004 | 46 | |
| 19 | 2000 | 35 | |
| 20 | 1997 | 9 |
About Mónica Cano
Mónica Cano is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Animal Science and Zoology, having authored 25 papers that have together received 563 indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), Functional Brain Connectivity Studies (18 papers), EEG and Brain-Computer Interfaces (17 papers), Visual perception and processing mechanisms (2 papers), Neuroscience and Neural Engineering (2 papers), Quantum optics and atomic interactions (1 paper), Atomic and Subatomic Physics Research (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Cognitive Neuroscience (482 citations), Cellular and Molecular Neuroscience (144 citations) and Neurology (34 citations). Mónica Cano has collaborated with scholars based in Spain, Japan and United States. Frequent co-authors include Miguel Ángel Tola-Arribas, Jesús Poza, Carlos Gómez, Roberto Hornero, Tatiana Bezdudnaya, Harvey A. Swadlow, José‐Manuel Alonso, Yulia Bereshpolova, Carl R. Stoelzel and Gonzalo C. Gutiérrez‐Tobal. Their work appears in journals such as NeuroImage, Journal of Neural Engineering, Journal of Neurophysiology, Current Alzheimer Research and Frontiers in Neuroinformatics.
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.