Jay Patravali

2.2k total citations
4 papers, 21 citations indexed

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 4 papers receiving a total of 21 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers 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), Human Pose and Action Recognition (2 papers) and Speech and dialogue systems (1 paper). Jay Patravali is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Human Pose and Action Recognition (2 papers) and Speech and dialogue systems (1 paper). Jay Patravali collaborates with scholars based in United Kingdom, United States and India. Jay Patravali's co-authors include Fuxin Li, Gaurav Mittal, Ye Yu, Mei Chen, R. Venkatesh Babu, Jogendra Nath Kundu, Hung Tuan Nguyen, Alan Fern, Fuxun Yu and Simranjit Singh and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Jay Patravali

3 papers receiving 21 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jay Patravali United Kingdom	2	19	13	4	3	3	4	21
Aidean Sharghi United States	3	24 1.3×	14 1.1×	2 0.5×	2 0.7×	7 2.3×	4	30
Z. J. Xiao China	2	17 0.9×	6 0.5×	4 1.0×		3 1.0×	4	26
Marc Oliu Spain	3	29 1.5×	10 0.8×	8 2.0×		4 1.3×	3	34
Yingjie Zhai Australia	2	24 1.3×	8 0.6×	2 0.5×		4 1.3×	2	31
Shahaf E. Finder Israel	2	13 0.7×	19 1.5×	2 0.5×		1 0.3×	3	35
Hao Du China	3	25 1.3×	11 0.8×			2 0.7×	5	36
Varghese Alex Kollerathu India	3	15 0.8×	6 0.5×	2 0.5×			3	19
Shaked Brody Israel	3	18 0.9×	10 0.8×			2 0.7×	3	25
Ruoxin Sang United States	2	12 0.6×	16 1.2×	1 0.3×		2 0.7×	2	21
Petro Liashchynskyi Ukraine	3	10 0.5×	9 0.7×	1 0.3×		3 1.0×	6	23

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).

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.

Co-authorship network of co-authors of Jay Patravali

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Patravali. A scholar is included among the top collaborators of Jay Patravali 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 Jay Patravali. Jay Patravali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

Patravali, Jay, et al.. (2025). Click&Describe: Multimodal Grounding and Tracking for Aerial Objects. 6011–6021. 1 indexed citations

2.

Patravali, Jay, Gaurav Mittal, Ye Yu, Fuxin Li, & Mei Chen. (2021). Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8464–8474. 15 indexed citations

3.

Nguyen, Hung Tuan, Jay Patravali, Fuxin Li, & Alan Fern. (2020). Learning Intuitive Physics by Explaining Surprise.

4.

Kundu, Jogendra Nath, et al.. (2020). Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion. 458–467. 5 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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