Uttaran Bhattacharya

672 total citations
15 papers, 275 citations indexed

About

Uttaran Bhattacharya is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Uttaran Bhattacharya has authored 15 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Uttaran Bhattacharya's work include Human Pose and Action Recognition (7 papers), Human Motion and Animation (4 papers) and Emotion and Mood Recognition (3 papers). Uttaran Bhattacharya is often cited by papers focused on Human Pose and Action Recognition (7 papers), Human Motion and Animation (4 papers) and Emotion and Mood Recognition (3 papers). Uttaran Bhattacharya collaborates with scholars based in United States and India. Uttaran Bhattacharya's co-authors include Dinesh Manocha, Aniket Bera, Trisha Mittal, Rohan Chandra, Kyra Kapsaskis, Tanmay Randhavane, Kurt Gray, Viswanathan Swaminathan, Venu Madhav Govindu and Stefano Petrangeli and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the 30th ACM International Conference on Multimedia and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Uttaran Bhattacharya

12 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uttaran Bhattacharya United States 6 224 85 43 42 36 15 275
Yuyu Xu United States 6 136 0.6× 75 0.9× 35 0.8× 124 3.0× 59 1.6× 15 256
The Duy Bui Vietnam 8 77 0.3× 47 0.6× 31 0.7× 38 0.9× 55 1.5× 26 192
Arne Eigenfeldt Canada 11 217 1.0× 47 0.6× 172 4.0× 12 0.3× 26 0.7× 43 269
Taras Kucherenko Sweden 7 136 0.6× 85 1.0× 29 0.7× 128 3.0× 96 2.7× 15 252
Yangzhou Du China 10 169 0.8× 33 0.4× 41 1.0× 8 0.2× 19 0.5× 27 225
Satoru Fukayama Japan 9 196 0.9× 89 1.0× 191 4.4× 38 0.9× 15 0.4× 42 292
Alfred Dielmann United Kingdom 8 79 0.4× 153 1.8× 75 1.7× 18 0.4× 25 0.7× 12 254
Sei Naito Japan 9 254 1.1× 24 0.3× 73 1.7× 7 0.2× 28 0.8× 67 300
Tangjie Lv China 7 101 0.5× 60 0.7× 30 0.7× 18 0.4× 13 0.4× 24 178
Lahoucine Ballihi Morocco 7 181 0.8× 42 0.5× 38 0.9× 11 0.3× 23 0.6× 21 221

Countries citing papers authored by Uttaran Bhattacharya

Since Specialization
Citations

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

Fields of papers citing papers by Uttaran Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uttaran Bhattacharya

This figure shows the co-authorship network connecting the top 25 collaborators of Uttaran Bhattacharya. A scholar is included among the top collaborators of Uttaran Bhattacharya 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 Uttaran Bhattacharya. Uttaran Bhattacharya 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.
Zhou, Yi, et al.. (2025). Shape My Moves: Text-Driven Shape-Aware Synthesis of Human Motions. 1917–1928. 1 indexed citations
2.
Lee, Daniel C., et al.. (2025). Evaluation and Incident Prevention in an Enterprise AI Assistant. Proceedings of the AAAI Conference on Artificial Intelligence. 39(28). 28931–28937.
3.
Bhattacharya, Uttaran, et al.. (2024). Evaluation and Continual Improvement for an Enterprise AI Assistant. 17–24.
4.
Bhattacharya, Uttaran, et al.. (2024). HanDiffuser: Text-to-Image Generation with Realistic Hand Appearances. 2468–2479. 2 indexed citations
5.
Bhattacharya, Uttaran, et al.. (2024). DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 783–791. 4 indexed citations
6.
7.
Bhattacharya, Uttaran, et al.. (2022). Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 3–10. 6 indexed citations
8.
Randhavane, Tanmay, Uttaran Bhattacharya, Kyra Kapsaskis, et al.. (2022). Learning Gait Emotions Using Affective and Deep Features. 1–10. 5 indexed citations
9.
Bhattacharya, Uttaran, Gang Wu, Stefano Petrangeli, Viswanathan Swaminathan, & Dinesh Manocha. (2022). Show Me What I Like: Detecting User-Specific Video Highlights Using Content-Based Multi-Head Attention. Proceedings of the 30th ACM International Conference on Multimedia. 591–600. 3 indexed citations
10.
Bhattacharya, Uttaran, et al.. (2021). Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents**This work has been supported in part by ARO Grants W911NF1910069 and W911NF1910315, and Intel. Code and additional materials available at: https: //gamma.umd.edu/t2g.. 160–169. 1 indexed citations
11.
Bhattacharya, Uttaran, et al.. (2021). Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning. arXiv (Cornell University). 2027–2036. 55 indexed citations
12.
Mittal, Trisha, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, & Dinesh Manocha. (2020). Emotions Don't Lie. 2823–2832. 175 indexed citations
13.
Mittal, Trisha, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, & Dinesh Manocha. (2020). Emotions Don't Lie: A Deepfake Detection Method using Audio-Visual Affective Cues. 8 indexed citations
14.
Randhavane, Tanmay, Uttaran Bhattacharya, Kyra Kapsaskis, et al.. (2019). Learning Perceived Emotion Using Affective and Deep Features for Mental Health Applications. 395–399. 13 indexed citations
15.
Bhattacharya, Uttaran, et al.. (2017). Fast Multiview 3D Scan Registration Using Planar Structures. 2. 548–556. 2 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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