Saurabh Vyas

47 total papers · 2.5k total citations
28 papers, 955 citations indexed

About

Saurabh Vyas is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Biophysics. According to data from OpenAlex, Saurabh Vyas has authored 28 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Cognitive Neuroscience and 5 papers in Biophysics. Recurrent topics in Saurabh Vyas's work include Neural dynamics and brain function (7 papers), EEG and Brain-Computer Interfaces (5 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (5 papers). Saurabh Vyas is often cited by papers focused on Neural dynamics and brain function (7 papers), EEG and Brain-Computer Interfaces (5 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (5 papers). Saurabh Vyas collaborates with scholars based in United States and India. Saurabh Vyas's co-authors include Krishna V. Shenoy, Matthew D. Golub, David Sussillo, Stephen I. Ryu, Surya Ganguli, Daniel J. O’Shea, Sergey D. Stavisky, Philippe Burlina, Eric M. Trautmann and Xulu Sun and has published in prestigious journals such as Nature, Neuron and Annual Review of Neuroscience.

In The Last Decade

Saurabh Vyas

28 papers receiving 948 citations

Hit Papers

Computation Through Neura... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Saurabh Vyas 650 261 133 122 93 28 955
Roland E. Suri 611 0.9× 337 1.3× 67 0.5× 99 0.8× 87 0.9× 25 883
Michal Teplan 902 1.4× 223 0.9× 79 0.6× 144 1.2× 77 0.8× 28 1.2k
Alexander B. Wiltschko 430 0.7× 402 1.5× 167 1.3× 116 1.0× 31 0.3× 18 1.2k
Ye Liu 455 0.7× 168 0.6× 54 0.4× 88 0.7× 55 0.6× 38 877
Tony Hyun Kim 554 0.9× 483 1.9× 57 0.4× 49 0.4× 34 0.4× 11 1.1k
Sacha J. van Albada 864 1.3× 393 1.5× 64 0.5× 30 0.2× 238 2.6× 46 1.2k
Sarah F. Muldoon 693 1.1× 272 1.0× 63 0.5× 52 0.4× 30 0.3× 39 1.0k
R. Cotton 625 1.0× 365 1.4× 65 0.5× 89 0.7× 74 0.8× 38 971
Nicholas M. Timme 863 1.3× 382 1.5× 161 1.2× 30 0.2× 144 1.5× 23 1.2k
Kohitij Kar 891 1.4× 174 0.7× 150 1.1× 23 0.2× 89 1.0× 49 1.2k

Countries citing papers authored by Saurabh Vyas

Since Specialization
Citations

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

Fields of papers citing papers by Saurabh Vyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saurabh Vyas

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

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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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