Jay Patravali

2 papers and 10 indexed citations i.

About

Jay Patravali is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jay Patravali has authored 2 papers receiving a total of 10 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jay Patravali’s work include Multimodal Machine Learning Applications (2 papers), Diabetic Foot Ulcer Assessment and Management (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Jay Patravali is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Diabetic Foot Ulcer Assessment and Management (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Jay Patravali collaborates with scholars based in United States and United Kingdom. Jay Patravali's co-authors include Ye Yu, Mei Chen, Gaurav Mittal, Fuxin Li, Hung Tuan Nguyen and Alan Fern and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Co-authorship network of co-authors of Jay Patravali i

Fields of papers citing papers by Jay Patravali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jay Patravali

Since Specialization
Citations

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