Vyom Raval

11 total papers · 410 total citations
5 papers, 325 citations indexed

About

Vyom Raval is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Vyom Raval has authored 5 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Neurology. Recurrent topics in Vyom Raval's work include EEG and Brain-Computer Interfaces (3 papers), Advanced MRI Techniques and Applications (2 papers) and Functional Brain Connectivity Studies (2 papers). Vyom Raval is often cited by papers focused on EEG and Brain-Computer Interfaces (3 papers), Advanced MRI Techniques and Applications (2 papers) and Functional Brain Connectivity Studies (2 papers). Vyom Raval collaborates with scholars based in United States and New Zealand. Vyom Raval's co-authors include Cedric P. Ambulo, Mohand O. Saed, Taylor H. Ware, Mihaela C. Stefan, Hyun Kim, M. Ravi Shankar, Danyal A. Siddiqui, John Michael O. Cue, Marco C. Pinho and Albert Montillo and has published in prestigious journals such as Advanced Functional Materials, Parkinsonism & Related Disorders and Developmental Cognitive Neuroscience.

In The Last Decade

Vyom Raval

5 papers receiving 322 citations

Author Peers

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

Author						Papers	Cites
Vyom Raval	265	225	101	76	32	5	325
Teresa A. Kent	256 1.0×	300 1.3×	64 0.6×	42 0.6×	51 1.6×	6	354
Doris Danninger	127 0.5×	221 1.0×	37 0.4×	34 0.4×	57 1.8×	8	304
David Schiller	159 0.6×	232 1.0×	59 0.6×	23 0.3×	81 2.5×	8	357
Suitu Wang	251 0.9×	215 1.0×	98 1.0×	73 1.0×	47 1.5×	9	345
Tae Jin Mun	175 0.7×	264 1.2×	91 0.9×	64 0.8×	21 0.7×	14	339
Tzu‐Li Liu	98 0.4×	242 1.1×	77 0.8×	16 0.2×	21 0.7×	12	339
Logan Bekker	193 0.7×	164 0.7×	64 0.6×	12 0.2×	30 0.9×	5	355
Shicheng Huang	170 0.6×	219 1.0×	70 0.7×	14 0.2×	21 0.7×	14	316
Jianyu Huang	93 0.4×	233 1.0×	33 0.3×	34 0.4×	54 1.7×	16	330
Pengju Shi	137 0.5×	191 0.8×	70 0.7×	35 0.5×	53 1.7×	14	345

Countries citing papers authored by Vyom Raval

Since Specialization

Citations

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

Fields of papers citing papers by Vyom Raval

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vyom Raval

This figure shows the co-authorship network connecting the top 25 collaborators of Vyom Raval. A scholar is included among the top collaborators of Vyom Raval 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 Vyom Raval. Vyom Raval 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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