Devika Narain

1.6k total citations
11 papers, 785 citations indexed

About

Devika Narain is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Devika Narain has authored 11 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 3 papers in Developmental and Educational Psychology and 2 papers in Artificial Intelligence. Recurrent topics in Devika Narain's work include Neural dynamics and brain function (8 papers), Neuroscience and Music Perception (5 papers) and Child and Animal Learning Development (3 papers). Devika Narain is often cited by papers focused on Neural dynamics and brain function (8 papers), Neuroscience and Music Perception (5 papers) and Child and Animal Learning Development (3 papers). Devika Narain collaborates with scholars based in Netherlands, United States and France. Devika Narain's co-authors include Mehrdad Jazayeri, Eghbal A. Hosseini, Jing Wang, Evan D. Remington, Hansem Sohn, Nicolas Meirhaeghe, Jeroen B. J. Smeets, Eli Brenner, Robert J. van Beers and Pascal Mamassian and has published in prestigious journals such as Nature Communications, Neuron and Nature Neuroscience.

In The Last Decade

Devika Narain

11 papers receiving 781 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Devika Narain Netherlands 9 693 127 109 74 53 11 785
Eghbal A. Hosseini United States 8 613 0.9× 188 1.5× 71 0.7× 57 0.8× 65 1.2× 11 723
Lorenzo Fontolan United States 8 860 1.2× 64 0.5× 243 2.2× 56 0.8× 87 1.6× 12 944
Yoichi Miyawaki Japan 10 730 1.1× 88 0.7× 68 0.6× 52 0.7× 79 1.5× 25 886
Shirley Mark United Kingdom 7 729 1.1× 177 1.4× 220 2.0× 33 0.4× 61 1.2× 7 962
René Quilodran France 8 1.2k 1.7× 111 0.9× 284 2.6× 100 1.4× 56 1.1× 10 1.3k
Michel Besserve Germany 13 816 1.2× 57 0.4× 361 3.3× 33 0.4× 84 1.6× 33 947
Camille Lamy France 4 1.1k 1.5× 48 0.4× 254 2.3× 56 0.8× 46 0.9× 5 1.2k
Thomas Akam United Kingdom 15 839 1.2× 62 0.5× 485 4.4× 61 0.8× 54 1.0× 27 1.0k
Sophie Denève France 7 526 0.8× 45 0.4× 133 1.2× 35 0.5× 89 1.7× 10 621
Eugenio Piasini United States 8 475 0.7× 70 0.6× 250 2.3× 85 1.1× 24 0.5× 18 613

Countries citing papers authored by Devika Narain

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Devika Narain

This figure shows the co-authorship network connecting the top 25 collaborators of Devika Narain. A scholar is included among the top collaborators of Devika Narain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Devika Narain. Devika Narain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Perich, Matthew G., Devika Narain, & Juan Álvaro Gallego. (2025). A neural manifold view of the brain. Nature Neuroscience. 28(8). 1582–1597. 2 indexed citations
2.
Zeeuw, Chris I. De, et al.. (2023). Heterogeneous encoding of temporal stimuli in the cerebellar cortex. Nature Communications. 14(1). 7581–7581. 6 indexed citations
3.
Sohn, Hansem & Devika Narain. (2021). Neural implementations of Bayesian inference. Current Opinion in Neurobiology. 70. 121–129. 18 indexed citations
4.
Sohn, Hansem, Devika Narain, Nicolas Meirhaeghe, & Mehrdad Jazayeri. (2019). Bayesian Computation through Cortical Latent Dynamics. Neuron. 103(5). 934–947.e5. 118 indexed citations
5.
Remington, Evan D., Seth W. Egger, Devika Narain, Jing Wang, & Mehrdad Jazayeri. (2018). A Dynamical Systems Perspective on Flexible Motor Timing. Trends in Cognitive Sciences. 22(10). 938–952. 64 indexed citations
6.
Narain, Devika, Evan D. Remington, Chris I. De Zeeuw, & Mehrdad Jazayeri. (2018). A cerebellar mechanism for learning prior distributions of time intervals. Nature Communications. 9(1). 469–469. 39 indexed citations
7.
Remington, Evan D., Devika Narain, Eghbal A. Hosseini, & Mehrdad Jazayeri. (2018). Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics. Neuron. 98(5). 1005–1019.e5. 156 indexed citations
8.
Wang, Jing, Devika Narain, Eghbal A. Hosseini, & Mehrdad Jazayeri. (2017). Flexible timing by temporal scaling of cortical responses. Nature Neuroscience. 21(1). 102–110. 252 indexed citations
9.
Narain, Devika, Jeroen B. J. Smeets, Pascal Mamassian, Eli Brenner, & Robert J. van Beers. (2014). Structure learning and the Occam's razor principle: a new view of human function acquisition. Frontiers in Computational Neuroscience. 8. 121–121. 93 indexed citations
10.
Narain, Devika, Pascal Mamassian, Robert J. van Beers, Jeroen B. J. Smeets, & Eli Brenner. (2013). How the Statistics of Sequential Presentation Influence the Learning of Structure. PLoS ONE. 8(4). e62276–e62276. 19 indexed citations
11.
Narain, Devika, Robert J. van Beers, Jeroen B. J. Smeets, & Eli Brenner. (2012). Sensorimotor priors in nonstationary environments. Journal of Neurophysiology. 109(5). 1259–1267. 18 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026