Rawal Khirodkar
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- Human Pose and Action Recognition 5
- Video Surveillance and Tracking Methods 3
- Advanced Vision and Imaging 2
- Advanced Neural Network Applications 2
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization 3
- Control and Systems Engineering top 10%
- Human Motion and Animation 1
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- Hand Gesture Recognition Systems 2
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- Indoor and Outdoor Localization Technologies 1
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Rawal Khirodkar
8 papers receiving 528 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 423
- Aerospace Engineering 137
- Automotive Engineering 42
- Safety, Risk, Reliability and Quality 30
- Control and Systems Engineering 69
Countries citing papers authored by Rawal Khirodkar
This map shows the geographic impact of Rawal Khirodkar'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 Rawal Khirodkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rawal Khirodkar more than expected).
Fields of papers citing papers by Rawal Khirodkar
This network shows the impact of papers produced by Rawal Khirodkar. 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 Rawal Khirodkar. The network helps show where Rawal Khirodkar may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Rawal Khirodkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Trackingbreakdown → | 2023 | 407 |
| 7 | 2023 | 9 | |
| 8 | 2022 | 53 | |
| 9 | 2021 | 51 | |
| 10 | 2019 | 23 |
About Rawal Khirodkar
Rawal Khirodkar is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 10 papers that have together received 549 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Video Surveillance and Tracking Methods (3 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Vision and Imaging (2 papers), Advanced Neural Network Applications (2 papers), Hand Gesture Recognition Systems (2 papers), Indoor and Outdoor Localization Technologies (1 paper) and Human Motion and Animation (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (423 citations), Aerospace Engineering (137 citations) and Automotive Engineering (42 citations). Rawal Khirodkar has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Kris Kitani, Jinkun Cao, Xinshuo Weng, Jiangmiao Pang, Rio Yokota, Minh Vo, Aayush Bansal, Lingni Ma, Richard Newcombe and Zhengyi Luo. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.