Kamlesh Jha
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Cardiology and Cardiovascular Medicine
- Co-authors
- Maheshkumar H. KolekarRajib Kumar JhaYogesh KumarDeba Prasad DashShishir KumarHimel MondalRamji SinghSushil Kumar
- Topics
- Digital Imaging for Blood Diseases (6 papers)EEG and Brain-Computer Interfaces (6 papers)COVID-19 diagnosis using AI (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Neural Systems and Rehabilitation EngineeringComputers in Biology and Medicine
In The Last Decade
Kamlesh Jha
31 papers receiving 427 citations
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 170
- Computer Vision and Pattern Recognition 117
- Artificial Intelligence 109
- Radiology, Nuclear Medicine and Imaging 101
- Cardiology and Cardiovascular Medicine 79
Countries citing papers authored by Kamlesh Jha
This map shows the geographic impact of Kamlesh 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 Kamlesh Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamlesh Jha more than expected).
Fields of papers citing papers by Kamlesh Jha
This network shows the impact of papers produced by Kamlesh 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 Kamlesh Jha. The network helps show where Kamlesh Jha may publish in the future.
Co-authorship network of co-authors of Kamlesh Jha
This figure shows the co-authorship network connecting the top 25 collaborators of Kamlesh Jha. A scholar is included among the top collaborators of Kamlesh 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 Kamlesh Jha. Kamlesh 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 | 0 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 51 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 15 | |
| 14 | 53 | |
| 15 | 9 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 13 |
About Kamlesh Jha
Kamlesh Jha is a scholar working on Health Informatics, Biological Psychiatry and Cognitive Neuroscience, having authored 36 papers that have together received 442 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (6 papers), EEG and Brain-Computer Interfaces (6 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Cognitive Neuroscience (170 citations), Computer Vision and Pattern Recognition (117 citations) and Health Informatics (7 citations). Kamlesh Jha has collaborated with scholars based in India, Germany and Nepal. Frequent co-authors include Maheshkumar H. Kolekar, Rajib Kumar Jha, Yogesh Kumar, Deba Prasad Dash, Shishir Kumar, Himel Mondal, Yogesh Kumar, Ramji Singh, Yogesh Kumar and Sushil Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Computers in Biology and Medicine.
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.