Haresh Karnan
Impact in
-
- Robotic Path Planning Algorithms
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
Papers in
-
- Robotic Path Planning Algorithms 6
- Multimodal Machine Learning Applications 1
-
- Robotics and Sensor-Based Localization 6
- Co-authors
- Garrett Warnell (8 shared papers)Xuesu Xiao (6 shared papers)Peter Stone (7 shared papers)Joydeep Biswas (6 shared papers)Justin Hart (1 shared paper)Sören Pirk (1 shared paper)Alexander Toshev (1 shared paper)Peter Stone (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (1 paper)Machine Learning (1 paper)IEEE Robotics & Automation Magazine (1 paper)2022 International Conference on Robotics and Automation (ICRA) (2 papers)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Haresh Karnan
11 papers receiving 187 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 99
- Architecture 3
- Aerospace Engineering 45
- Artificial Intelligence 56
- Control and Systems Engineering 39
Countries citing papers authored by Haresh Karnan
This map shows the geographic impact of Haresh Karnan'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 Haresh Karnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haresh Karnan more than expected).
Fields of papers citing papers by Haresh Karnan
This network shows the impact of papers produced by Haresh Karnan. 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 Haresh Karnan. The network helps show where Haresh Karnan may publish in the future.
Co-authors
The 23 scholars most cited alongside Haresh Karnan, 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 | 2022 | 64 | |
| 2 | 2022 | 27 | |
| 3 | 2022 | 23 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 16 | |
| 6 | 2022 | 15 | |
| 7 | 2017 | 10 | |
| 8 | 2024 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2024 | 3 | |
| 11 | An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch. | 2020 | 2 |
About Haresh Karnan
Haresh Karnan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Automotive Engineering and Civil and Structural Engineering, having authored 11 papers that have together received 192 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (6 papers), Reinforcement Learning in Robotics (3 papers), Evacuation and Crowd Dynamics (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Multimodal Machine Learning Applications (1 paper), Structural Analysis and Optimization (1 paper) and Software Testing and Debugging Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (99 citations), Architecture (3 citations), Aerospace Engineering (45 citations), Artificial Intelligence (56 citations) and Control and Systems Engineering (39 citations). Haresh Karnan has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Garrett Warnell, Xuesu Xiao, Peter Stone, Joydeep Biswas, Justin Hart, Sören Pirk, Alexander Toshev, Peter Stone, Josiah P. Hanna and Raman Goyal. Their work appears in journals such as IEEE Robotics and Automation Letters, Machine Learning, IEEE Robotics & Automation Magazine, 2022 International Conference on Robotics and Automation (ICRA) and Neural Information Processing Systems.
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.