Charvy Narain

26 total papers · 1.2k total citations
12 papers, 975 citations indexed

About

Charvy Narain is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Physiology. According to data from OpenAlex, Charvy Narain has authored 12 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 2 papers in Experimental and Cognitive Psychology and 2 papers in Physiology. Recurrent topics in Charvy Narain's work include Multisensory perception and integration (2 papers), Pain Mechanisms and Treatments (2 papers) and Pain Management and Placebo Effect (2 papers). Charvy Narain is often cited by papers focused on Multisensory perception and integration (2 papers), Pain Mechanisms and Treatments (2 papers) and Pain Management and Placebo Effect (2 papers). Charvy Narain collaborates with scholars based in United Kingdom and United States. Charvy Narain's co-authors include Paul M. Matthews, Christian F. Beckmann, J. N. P. Rawlins, Richard G. Wise, Alexander Ploghaus, Stuart Clare, Irene Tracey, Susanna Bantick, Anna Floyer-Lea and Timothy E.J. Behrens and has published in prestigious journals such as Nature, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Charvy Narain

10 papers receiving 958 citations

Hit Papers

Exacerbation of Pain by A... 2001 2026 2009 2017 2001 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Charvy Narain 652 323 206 172 123 12 975
Per Hamid Ghatan 471 0.7× 253 0.8× 124 0.6× 152 0.9× 114 0.9× 18 1.1k
Matthew G. Whalley 569 0.9× 144 0.4× 135 0.7× 117 0.7× 175 1.4× 17 1.1k
C. Perchet 780 1.2× 518 1.6× 154 0.7× 116 0.7× 269 2.2× 38 1.2k
Beth R. Krauss 620 1.0× 547 1.7× 77 0.4× 352 2.0× 130 1.1× 14 1.2k
Matthias Zunhammer 345 0.5× 249 0.8× 130 0.6× 83 0.5× 177 1.4× 22 812
Yoshitetsu Oshiro 466 0.7× 390 1.2× 80 0.4× 161 0.9× 165 1.3× 21 835
Michael Hauck 454 0.7× 273 0.8× 69 0.3× 200 1.2× 144 1.2× 32 862
A.D. Craig 453 0.7× 540 1.7× 67 0.3× 144 0.8× 217 1.8× 9 1.0k
Jarred Younger 210 0.3× 299 0.9× 130 0.6× 216 1.3× 141 1.1× 11 914
Leslie Sherlin 528 0.8× 193 0.6× 95 0.5× 142 0.8× 197 1.6× 31 902

Countries citing papers authored by Charvy Narain

Since Specialization
Citations

This map shows the geographic impact of Charvy 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 Charvy Narain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charvy Narain more than expected).

Fields of papers citing papers by Charvy Narain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charvy 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 Charvy Narain. The network helps show where Charvy Narain may publish in the future.

Co-authorship network of co-authors of Charvy Narain

This figure shows the co-authorship network connecting the top 25 collaborators of Charvy Narain. A scholar is included among the top collaborators of Charvy 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 Charvy Narain. Charvy Narain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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