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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- Robotic Path Planning Algorithms 4
- Human Pose and Action Recognition 2
- Video Surveillance and Tracking Methods 1
- Face and Expression Recognition 1
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- Reinforcement Learning in Robotics 3
- Machine Learning and Algorithms 2
- Co-authors
- Dragomir Anguelov (1 shared paper)Danfei Xu (1 shared paper)Ashutosh Saxena (5 shared papers)Hema Swetha Koppula (2 shared papers)Thorsten Joachims (2 shared papers)S. V. N. Vishwanathan (1 shared paper)Manik Varma (1 shared paper)Shikhar Sharma (1 shared paper)
- Journals
- The International Journal of Robotics Research (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesIndia
In The Last Decade
Ashesh Jain
9 papers receiving 896 citations
Ashesh Jain's Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 578
- Automotive Engineering 249
- Geology 68
- Instrumentation 41
- Aerospace Engineering 285
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 21 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 | 542 |
| 2 | 2015 | 174 | |
| 3 | 2015 | 54 | |
| 4 | 2012 | 51 | |
| 5 | 2013 | 42 | |
| 6 | 2022 | 42 | |
| 7 | 2015 | 15 | |
| 8 | Know Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models | 2015 | 7 |
| 9 | One Thousand and One Hours: Self-driving Motion Prediction Dataset | 2020 | 2 |
About Ashesh Jain
Ashesh Jain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Environmental Engineering and Aerospace Engineering, having authored 9 papers that have together received 929 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (4 papers), Robotic Path Planning Algorithms (4 papers), Reinforcement Learning in Robotics (3 papers), Human Pose and Action Recognition (2 papers), Machine Learning and Algorithms (2 papers), Video Surveillance and Tracking Methods (1 paper), Face and Expression Recognition (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (578 citations), Automotive Engineering (249 citations), Geology (68 citations), Instrumentation (41 citations) and Aerospace Engineering (285 citations). Ashesh Jain has collaborated with scholars based in United States and India. Frequent co-authors include Dragomir Anguelov, Danfei Xu, Ashutosh Saxena, Hema Swetha Koppula, Thorsten Joachims, S. V. N. Vishwanathan, Manik Varma, Shikhar Sharma, Błażej Osiński and Ana Ferreira. Their work appears in journals such as The International Journal of Robotics Research, 2022 International Conference on Robotics and Automation (ICRA) and arXiv (Cornell University).
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.