Devesh K. Jha
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Kieran ParsonsToshiaki Koike‐AkinoKeisuke KojimaMohammad H. TahersimaAsok RayChung-Wei LinDiego RomeresBingnan Wang
- Topics
- Robot Manipulation and Learning (21 papers)Reinforcement Learning in Robotics (15 papers)Robotic Path Planning Algorithms (14 papers)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Devesh K. Jha
76 papers receiving 893 citations
Peers
Comparison fields: 5 of 80
- Electrical and Electronic Engineering 318
- Artificial Intelligence 290
- Control and Systems Engineering 263
- Biomedical Engineering 183
- Computer Vision and Pattern Recognition 161
Countries citing papers authored by Devesh K. Jha
This map shows the geographic impact of Devesh K. Jha'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 Devesh K. Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devesh K. Jha more than expected).
Fields of papers citing papers by Devesh K. Jha
This network shows the impact of papers produced by Devesh K. Jha. 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 Devesh K. Jha. The network helps show where Devesh K. Jha may publish in the future.
Co-authorship network of co-authors of Devesh K. Jha
This figure shows the co-authorship network connecting the top 25 collaborators of Devesh K. Jha. A scholar is included among the top collaborators of Devesh K. Jha 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 Devesh K. Jha. Devesh K. Jha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 13 | |
| 11 | 8 | |
| 12 | PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation | 2 |
| 13 | 12 | |
| 14 | 11 | |
| 15 | Deep Reactive Planning in Dynamic Environments | 1 |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 15 | |
| 19 | 278 | |
| 20 | Dynamic data-driven symbolic causal modeling for battery performance & health monitoring | 6 |
About Devesh K. Jha
Devesh K. Jha is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 929 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (21 papers), Reinforcement Learning in Robotics (15 papers) and Robotic Path Planning Algorithms (14 papers). The work is most often cited by research in Control and Systems Engineering (263 citations), Acoustics and Ultrasonics (10 citations) and Artificial Intelligence (290 citations). Devesh K. Jha has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Kieran Parsons, Toshiaki Koike‐Akino, Keisuke Kojima, Mohammad H. Tahersima, Asok Ray, Chung-Wei Lin, Diego Romeres, Bingnan Wang, Daniel Nikovski and Thomas A. Wettergren. Their work appears in journals such as Scientific Reports, IEEE Transactions on Cybernetics and Journal of Lightwave Technology.
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.