Devika Narain
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Neuroscience and Music Perception
- EEG and Brain-Computer Interfaces
- Motor Control and Adaptation
- Neural and Behavioral Psychology Studies
- Visual perception and processing mechanisms
- Memory and Neural Mechanisms
- Developmental Biology top 10%
Papers in
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- Neural dynamics and brain function 8
- Neuroscience and Music Perception 5
- Motor Control and Adaptation 2
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- Child and Animal Learning Development 3
- Co-authors
- Mehrdad Jazayeri (5 shared papers)Eghbal A. Hosseini (2 shared papers)Jing Wang (1 shared paper)Evan D. Remington (3 shared papers)Hansem Sohn (2 shared papers)Nicolas Meirhaeghe (1 shared paper)Eli Brenner (3 shared papers)Robert J. van Beers (3 shared papers)
- Journals
- Neuron (2 papers)Nature Neuroscience (2 papers)Nature Communications (2 papers)PLoS ONE (1 paper)Trends in Cognitive Sciences (1 paper)
- Partner nations
- NetherlandsUnited StatesFrance
In The Last Decade
Devika Narain
11 papers receiving 840 citations
Peers
Comparison fields: 5 of 90
- Cognitive Neuroscience 716
- Developmental Biology 18
- Cellular and Molecular Neuroscience 116
- Sensory Systems 29
- Neurology 44
Countries citing papers authored by Devika Narain
This map shows the geographic impact of Devika Narain'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 Devika Narain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devika Narain more than expected).
Fields of papers citing papers by Devika Narain
This network shows the impact of papers produced by Devika Narain. 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 Devika Narain. The network helps show where Devika Narain may publish in the future.
Co-authors
The 16 scholars most cited alongside Devika Narain, 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 | 2017 | 269 | |
| 2 | 2018 | 160 | |
| 3 | 2019 | 126 | |
| 4 | 2014 | 103 | |
| 5 | 2018 | 69 | |
| 6 | 2018 | 44 | |
| 7 | 2013 | 21 | |
| 8 | 2021 | 19 | |
| 9 | 2012 | 18 | |
| 10 | 2025 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2025 | 0 |
About Devika Narain
Devika Narain is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Artificial Intelligence, Neurology and Pathology and Forensic Medicine, having authored 12 papers that have together received 845 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neuroscience and Music Perception (5 papers), Child and Animal Learning Development (3 papers), Advanced Text Analysis Techniques (2 papers), Motor Control and Adaptation (2 papers), Vestibular and auditory disorders (2 papers), Complex Systems and Decision Making (1 paper) and Language and cultural evolution (1 paper). The work is most often cited by research in Cognitive Neuroscience (716 citations), Developmental Biology (18 citations), Cellular and Molecular Neuroscience (116 citations), Sensory Systems (29 citations) and Neurology (44 citations). Devika Narain has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Mehrdad Jazayeri, Eghbal A. Hosseini, Jing Wang, Evan D. Remington, Hansem Sohn, Nicolas Meirhaeghe, Eli Brenner, Robert J. van Beers, Jeroen B. J. Smeets and Pascal Mamassian. Their work appears in journals such as Neuron, Nature Neuroscience, Nature Communications, PLoS ONE and Trends in Cognitive Sciences.
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.