Ashesh Jain
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
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- Human Pose and Action Recognition 4
- Robotic Path Planning Algorithms 4
- Face and Expression Recognition 1
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- Autonomous Vehicle Technology and Safety 4
- Co-authors
- Danfei Xu (1 shared paper)Dragomir Anguelov (1 shared paper)Ashutosh Saxena (7 shared papers)Hema Swetha Koppula (4 shared papers)Manik Varma (1 shared paper)S. V. N. Vishwanathan (1 shared paper)Shikhar Sharma (1 shared paper)Thorsten Joachims (1 shared paper)
- Journals
- Springer tracts in advanced robotics (1 paper)The International Journal of Robotics Research (1 paper)arXiv (Cornell University) (2 papers)2022 International Conference on Robotics and Automation (ICRA) (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Ashesh Jain
10 papers receiving 1.1k citations
Ashesh Jain's Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 712
- Automotive Engineering 288
- Geology 81
- Aerospace Engineering 319
- Instrumentation 43
Countries citing papers authored by Ashesh Jain
This map shows the geographic impact of Ashesh Jain'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 Ashesh Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashesh Jain more than expected).
Fields of papers citing papers by Ashesh Jain
This network shows the impact of papers produced by Ashesh Jain. 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 Ashesh Jain. The network helps show where Ashesh Jain may publish in the future.
Co-authors
The 18 scholars most cited alongside Ashesh Jain, 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 | PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation Hit paper breakdown → | 2018 | 609 |
| 2 | 2015 | 208 | |
| 3 | 2015 | 63 | |
| 4 | 2012 | 62 | |
| 5 | 2015 | 52 | |
| 6 | 2022 | 51 | |
| 7 | 2016 | 49 | |
| 8 | 2015 | 20 | |
| 9 | 2016 | 13 | |
| 10 | Know Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models | 2015 | 7 |
About Ashesh Jain
Ashesh Jain is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Geology and Environmental Engineering, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Robotic Path Planning Algorithms (4 papers), Autonomous Vehicle Technology and Safety (4 papers), Reinforcement Learning in Robotics (3 papers), AI-based Problem Solving and Planning (2 papers), Anomaly Detection Techniques and Applications (2 papers), Face and Expression Recognition (1 paper) and Multi-Agent Systems and Negotiation (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (712 citations), Automotive Engineering (288 citations), Geology (81 citations), Aerospace Engineering (319 citations) and Instrumentation (43 citations). Ashesh Jain has collaborated with scholars based in United States and India. Frequent co-authors include Danfei Xu, Dragomir Anguelov, Ashutosh Saxena, Hema Swetha Koppula, Manik Varma, S. V. N. Vishwanathan, Shikhar Sharma, Thorsten Joachims, Amir Zamir and Silvio Savarese. Their work appears in journals such as Springer tracts in advanced robotics, The International Journal of Robotics Research, arXiv (Cornell University) and 2022 International Conference on Robotics and Automation (ICRA).
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.