Vidya Kamath

18 papers and 766 indexed citations i.

About

Vidya Kamath is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vidya Kamath has authored 18 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vidya Kamath’s work include Advanced Neural Network Applications (3 papers), Caveolin-1 and cellular processes (2 papers) and Gene expression and cancer classification (2 papers). Vidya Kamath is often cited by papers focused on Advanced Neural Network Applications (3 papers), Caveolin-1 and cellular processes (2 papers) and Gene expression and cancer classification (2 papers). Vidya Kamath collaborates with scholars based in United States, India and Sweden. Vidya Kamath's co-authors include Steven A. Eschrich, Timothy J. Yeatman, A. Renuka, Lara Lipton, Robert N. Jorissen, Mike Gruidl, Lauri A. Aaltonen, Michael Christie, Diego Arango and Torben F. Ørntoft and has published in prestigious journals such as Journal of Clinical Investigation, Cancer Research and Clinical Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Vidya Kamath i

Fields of papers citing papers by Vidya Kamath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vidya Kamath

Since Specialization
Citations

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

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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2025