Mayur Pandya

1.3k total citations
15 papers, 537 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 537 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, Amit Anand, Murat Altinay, Cynthia S. Kubu, Monique Giroux, André G. Machado, Paul J. Ford, K. S. Swathi, Bo Hu and Kenneth B. Baker 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 525 citations

Peers

Mayur Pandya
Christoph Linnemann Germany
Arjun V. Masurkar United States
Francesco Gentile Italy
Dawei Wang China
Marina Weiler Brazil
Siming Jiang China
Richard Joules United Kingdom
Camellia P. Clark United States
Christoph Linnemann Germany
Mayur Pandya
Citations per year, relative to Mayur Pandya Mayur Pandya (= 1×) peers Christoph Linnemann

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

15 of 15 papers shown
1.
2.
Pandya, Mayur, P. C. Siddalingaswamy, & Sanjay Singh. (2025). FMEA-Based Safety Analysis of Monocular Depth Estimation for Autonomous Vehicles. 907–912.
3.
Siddalingaswamy, P. C., et al.. (2023). AlterNet-K: a small and compact model for the detection of glaucoma. Biomedical Engineering Letters. 14(1). 23–33. 13 indexed citations
4.
Pandya, Mayur, et al.. (2023). Development of Gradient Boosting Machines for Estimation of Total and Dynamic Liquid Holdup in Trickle Bed Reactor. Industrial & Engineering Chemistry Research. 3 indexed citations
5.
Sampathila, Niranjana, Krishnaraj Chadaga, Rajagopala Chadaga, et al.. (2022). Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images. Healthcare. 10(10). 1812–1812. 63 indexed citations
6.
Lempka, Scott F., Donald A. Malone, Bo Hu, et al.. (2017). Randomized clinical trial of deep brain stimulation for poststroke pain. Annals of Neurology. 81(5). 653–663. 71 indexed citations
7.
Nagel, Sean J., André G. Machado, John T. Gale, Darlene A. Lobel, & Mayur Pandya. (2015). Preserving cortico-striatal function: deep brain stimulation in Huntington’s disease. Frontiers in Systems Neuroscience. 9. 32–32. 11 indexed citations
8.
Abboud, Hesham, Darlene Floden, Nicolas R. Thompson, et al.. (2014). Impact of mild cognitive impairment on outcome following deep brain stimulation surgery for Parkinson's disease. Parkinsonism & Related Disorders. 21(3). 249–253. 47 indexed citations
9.
Fernandez, Hubert H., André G. Machado, & Mayur Pandya. (2014). A Practical Approach to Movement Disorders. 1 indexed citations
10.
Abboud, Hesham, Raja Mehanna, André G. Machado, et al.. (2014). Comprehensive, Multidisciplinary Deep Brain Stimulation Screening for Parkinson Patients: No Room for “Short Cuts”. Movement Disorders Clinical Practice. 1(4). 336–341. 24 indexed citations
11.
Pandya, Mayur, et al.. (2013). Technology and teaching: suicide risk assessment. Medical Education. 47(11). 1132–1133. 2 indexed citations
12.
Pandya, Mayur, Murat Altinay, Donald A. Malone, & Amit Anand. (2012). Where in the Brain Is Depression?. Current Psychiatry Reports. 14(6). 634–642. 223 indexed citations
13.
Pandya, Mayur, Cynthia S. Kubu, & Monique Giroux. (2008). Parkinson disease: Not just a movement disorder. Cleveland Clinic Journal of Medicine. 75(12). 856–864. 50 indexed citations
14.
Berry, Brian, et al.. (2007). Versatile platform for creating gradient combinatorial libraries via modulated light exposure. Review of Scientific Instruments. 78(7). 72202–72202. 27 indexed citations
15.
Pandya, Mayur, et al.. (2004). A Malignant Neuroleptic Spectrum: Review of Diagnostic Criteria and Treatment Implications in Three Case Reports. The International Journal of Psychiatry in Medicine. 34(3). 277–285. 1 indexed citations

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