Mayur Pandya

31 total papers · 1.3k total citations
15 papers, 535 citations indexed

About

Mayur Pandya is a scholar working on Neurology, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Mayur Pandya has authored 15 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Ophthalmology. Recurrent topics in Mayur Pandya's work include Neurological disorders and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). Mayur Pandya is often cited by papers focused on Neurological disorders and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). Mayur Pandya collaborates with scholars based in United States, India and Egypt. Mayur Pandya's co-authors include Donald A. Malone, Murat Altinay, Amit Anand, Cynthia S. Kubu, Monique Giroux, André G. Machado, Paul J. Ford, Srikanth Prabhu, Scott F. Lempka and K. S. Swathi and has published in prestigious journals such as Annals of Neurology, Scientific Reports and Industrial & Engineering Chemistry Research.

In The Last Decade

Mayur Pandya

14 papers receiving 523 citations

Author Peers

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

Author Last Decade Papers Cites
Mayur Pandya 186 112 93 81 70 15 535
Ye Chen 46 0.2× 119 1.1× 130 1.4× 157 1.9× 31 0.4× 22 614
Oliver Preische 178 1.0× 98 0.9× 84 0.9× 43 0.5× 39 0.6× 12 513
Valeria Saccà 76 0.4× 222 2.0× 68 0.7× 69 0.9× 35 0.5× 22 451
Siming Jiang 355 1.9× 124 1.1× 51 0.5× 71 0.9× 111 1.6× 19 497
Michael Kerich 77 0.4× 168 1.5× 50 0.5× 134 1.7× 68 1.0× 10 548
Ulrike Suenkel 280 1.5× 131 1.2× 56 0.6× 48 0.6× 44 0.6× 26 607
Laura W. de Jong 63 0.3× 243 2.2× 86 0.9× 52 0.6× 199 2.8× 9 567
Carmen Echávarri 37 0.2× 97 0.9× 91 1.0× 38 0.5× 59 0.8× 16 466
Benjamin Billot 72 0.4× 150 1.3× 50 0.5× 44 0.5× 247 3.5× 17 590
Rosalía Dacosta‐Aguayo 101 0.5× 177 1.6× 100 1.1× 32 0.4× 124 1.8× 27 459

Countries citing papers authored by Mayur Pandya

Since Specialization
Citations

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

Fields of papers citing papers by Mayur Pandya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayur Pandya

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