Viswas Dayal

26 total papers · 454 total citations
11 papers, 297 citations indexed

About

Viswas Dayal is a scholar working on Neurology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Viswas Dayal has authored 11 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Viswas Dayal's work include Parkinson's Disease Mechanisms and Treatments (10 papers), Neurological disorders and treatments (10 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). Viswas Dayal is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (10 papers), Neurological disorders and treatments (10 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). Viswas Dayal collaborates with scholars based in United Kingdom, Sweden and France. Viswas Dayal's co-authors include Thomas Foltynie, Patricia Limousin, Harith Akram, Ludvic Zrinzo, Marwan Hariz, Marjan Jahanshahi, Jonathan Hyam, Enrico De Vita, John Ashburner and Timothy E.J. Behrens and has published in prestigious journals such as Journal of neurosurgery, Movement Disorders and Proceedings of The Nutrition Society.

In The Last Decade

Viswas Dayal

10 papers receiving 291 citations

Author Peers

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

Author Last Decade Papers Cites
Viswas Dayal 266 134 65 45 36 11 297
Miodrag Velickovic 225 0.8× 108 0.8× 26 0.4× 31 0.7× 28 0.8× 10 274
Ya‐Chen Lin 188 0.7× 184 1.4× 84 1.3× 43 1.0× 24 0.7× 17 338
Suresh E. Joel 152 0.6× 53 0.4× 76 1.2× 126 2.8× 40 1.1× 7 302
Alicia Meconi 179 0.7× 44 0.3× 36 0.6× 55 1.2× 24 0.7× 9 330
Jennifer Witt 189 0.7× 97 0.7× 68 1.0× 19 0.4× 23 0.6× 14 266
Rachel Guimarães 206 0.8× 150 1.1× 100 1.5× 30 0.7× 24 0.7× 18 308
Gabriel Castellanos 209 0.8× 68 0.5× 63 1.0× 44 1.0× 20 0.6× 12 298
Mikula K. Stambuk 226 0.8× 138 1.0× 34 0.5× 36 0.8× 43 1.2× 7 320
Arjun Tarakad 267 1.0× 114 0.9× 14 0.2× 43 1.0× 42 1.2× 14 348
Roberto Melaragno Filho 241 0.9× 117 0.9× 22 0.3× 33 0.7× 34 0.9× 13 337

Countries citing papers authored by Viswas Dayal

Since Specialization
Citations

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

Fields of papers citing papers by Viswas Dayal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viswas Dayal

This figure shows the co-authorship network connecting the top 25 collaborators of Viswas Dayal. A scholar is included among the top collaborators of Viswas Dayal 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 Viswas Dayal. Viswas Dayal 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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2026