Eva Berlot
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Motor Control and Adaptation
- EEG and Brain-Computer Interfaces
- Visual perception and processing mechanisms
- Neuroscience and Music Perception
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- Vestibular and auditory disorders
- Transcranial Magnetic Stimulation Studies
Papers in
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- Motor Control and Adaptation 4
- Neural dynamics and brain function 3
- Hearing Loss and Rehabilitation 2
- Functional Brain Connectivity Studies 2
- Visual perception and processing mechanisms 2
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- Action Observation and Synchronization 5
- Co-authors
- Jörn Diedrichsen (5 shared papers)Elisa Raffaella Ferrè (1 shared paper)Jill X. O’Reilly (1 shared paper)Patrick Haggard (1 shared paper)Naveed Ejaz (1 shared paper)Elia Formisano (2 shared papers)Floris P. de Lange (2 shared papers)Federico De Martino (2 shared papers)
- Journals
- Journal of Neuroscience (2 papers)Current Opinion in Behavioral Sciences (1 paper)Journal of Neurophysiology (1 paper)eLife (1 paper)Neuropsychologia (1 paper)
- Partner nations
- NetherlandsCanadaUnited States
In The Last Decade
Eva Berlot
10 papers receiving 243 citations
Peers
Comparison fields: 5 of 38
- Cognitive Neuroscience 208
- Neurology 57
- Sensory Systems 25
- Human-Computer Interaction 17
- Social Psychology 47
Countries citing papers authored by Eva Berlot
This map shows the geographic impact of Eva Berlot'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 Eva Berlot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Berlot more than expected).
Fields of papers citing papers by Eva Berlot
This network shows the impact of papers produced by Eva Berlot. 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 Eva Berlot. The network helps show where Eva Berlot may publish in the future.
Co-authors
The 19 scholars most cited alongside Eva Berlot, 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 | 2020 | 62 | |
| 2 | 2018 | 44 | |
| 3 | 2020 | 29 | |
| 4 | 2015 | 26 | |
| 5 | 2014 | 25 | |
| 6 | 2023 | 24 | |
| 7 | 2017 | 13 | |
| 8 | 2018 | 13 | |
| 9 | 2021 | 9 | |
| 10 | 2017 | 2 | |
| 11 | 2023 | 0 |
About Eva Berlot
Eva Berlot is a scholar working on Cognitive Neuroscience, Social Psychology, Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 11 papers that have together received 247 indexed citations. Recurring topics across this work include Action Observation and Synchronization (5 papers), Motor Control and Adaptation (4 papers), Neural dynamics and brain function (3 papers), Hearing Loss and Rehabilitation (2 papers), Functional Brain Connectivity Studies (2 papers), Visual perception and processing mechanisms (2 papers), Categorization, perception, and language (1 paper) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Cognitive Neuroscience (208 citations), Neurology (57 citations), Sensory Systems (25 citations), Human-Computer Interaction (17 citations) and Social Psychology (47 citations). Eva Berlot has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include Jörn Diedrichsen, Elisa Raffaella Ferrè, Jill X. O’Reilly, Patrick Haggard, Naveed Ejaz, Elia Formisano, Floris P. de Lange, Federico De Martino, Marius V. Peelen and Geoffrey Bird. Their work appears in journals such as Journal of Neuroscience, Current Opinion in Behavioral Sciences, Journal of Neurophysiology, eLife and Neuropsychologia.
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.