Ajit Jha
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
- Aerospace Engineering top 10%
- UAV Applications and Optimization
- Robotics and Sensor-Based Localization
- Radar Systems and Signal Processing
- Advanced SAR Imaging Techniques
Papers in
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- Semiconductor Lasers and Optical Devices 13
- Photonic and Optical Devices 11
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- Robotics and Sensor-Based Localization 8
- UAV Applications and Optimization 6
- Co-authors
- Linga Reddy Cenkeramaddi (29 shared papers)Abhinav Kumar (10 shared papers)Santiago Royo (15 shared papers)Aveen Dayal (7 shared papers)Phaneendra K. Yalavarthy (4 shared papers)J. Soumya (5 shared papers)Khushi Gupta (1 shared paper)Om Jee Pandey (1 shared paper)
In The Last Decade
Ajit Jha
45 papers receiving 667 citations
Peers
Comparison fields: 5 of 90
- Human-Computer Interaction 78
- Aerospace Engineering 171
- Computer Vision and Pattern Recognition 127
- Bioengineering 30
- Electrical and Electronic Engineering 294
Countries citing papers authored by Ajit Jha
This map shows the geographic impact of Ajit 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 Ajit Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Jha more than expected).
Fields of papers citing papers by Ajit Jha
This network shows the impact of papers produced by Ajit 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 Ajit Jha. The network helps show where Ajit Jha may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajit Jha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 92 | |
| 2 | 2023 | 76 | |
| 3 | 2021 | 51 | |
| 4 | 2016 | 44 | |
| 5 | 2021 | 41 | |
| 6 | 2014 | 34 | |
| 7 | 2013 | 34 | |
| 8 | 2020 | 33 | |
| 9 | 2021 | 29 | |
| 10 | 2016 | 28 | |
| 11 | 2016 | 23 | |
| 12 | 2015 | 19 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 17 | |
| 15 | 2022 | 17 | |
| 16 | 2018 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2023 | 12 | |
| 20 | 2024 | 10 |
About Ajit Jha
Ajit Jha is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 47 papers that have together received 702 indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (13 papers), Photonic and Optical Devices (11 papers), Robotics and Sensor-Based Localization (8 papers), UAV Applications and Optimization (6 papers), Analytical Chemistry and Sensors (5 papers), Robotic Path Planning Algorithms (5 papers), Advanced Fiber Laser Technologies (5 papers) and Advanced Optical Sensing Technologies (4 papers). The work is most often cited by research in Human-Computer Interaction (78 citations), Aerospace Engineering (171 citations), Computer Vision and Pattern Recognition (127 citations), Bioengineering (30 citations) and Electrical and Electronic Engineering (294 citations). Ajit Jha has collaborated with scholars based in Norway, India and Spain. Frequent co-authors include Linga Reddy Cenkeramaddi, Abhinav Kumar, Santiago Royo, Aveen Dayal, Phaneendra K. Yalavarthy, J. Soumya, Khushi Gupta, Om Jee Pandey, Julien Perchoux and Kjell G. Robbersmyr. Their work appears in journals such as IEEE Sensors Journal, Electronics, IEEE Access, Sensors and IEEE Photonics Technology Letters.
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.