Chandra Prakash
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Endocrinology, Diabetes and Metabolism
- Physical Therapy, Sports Therapy and Rehabilitation top 5%
- Co-authors
- Rajesh KumarNamita MittalSourabh BhartiRichard W. McCallumAnshul MittalJoão Manuel R. S. TavaresAnkit VijayvargiyaVijay Laxmi
- Topics
- Gait Recognition and Analysis (16 papers)Diabetic Foot Ulcer Assessment and Management (8 papers)Human Pose and Action Recognition (8 papers)
- Cited by
- Physical Therapy, Sports Therapy and RehabilitationHuman-Computer InteractionComputer Vision and Pattern Recognition
In The Last Decade
Chandra Prakash
33 papers receiving 555 citations
Peers
Comparison fields: 5 of 103
- Biomedical Engineering 326
- Computer Vision and Pattern Recognition 176
- Artificial Intelligence 89
- Endocrinology, Diabetes and Metabolism 84
- Physical Therapy, Sports Therapy and Rehabilitation 68
Countries citing papers authored by Chandra Prakash
This map shows the geographic impact of Chandra Prakash'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 Chandra Prakash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chandra Prakash more than expected).
Fields of papers citing papers by Chandra Prakash
This network shows the impact of papers produced by Chandra Prakash. 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 Chandra Prakash. The network helps show where Chandra Prakash may publish in the future.
Co-authorship network of co-authors of Chandra Prakash
This figure shows the co-authorship network connecting the top 25 collaborators of Chandra Prakash. A scholar is included among the top collaborators of Chandra Prakash 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 Chandra Prakash. Chandra Prakash 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 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 74 | |
| 10 | 7 | |
| 11 | A Survey on Artificial Intelligence Techniques for Cybersecurity | 0 |
| 12 | 18 | |
| 13 | 7 | |
| 14 | 10 | |
| 15 | 19 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | Medication-induced esophageal injury: survey of the literature. | 62 |
About Chandra Prakash
Chandra Prakash is a scholar working on Medical Laboratory Technology, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 591 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (16 papers), Diabetic Foot Ulcer Assessment and Management (8 papers) and Human Pose and Action Recognition (8 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (68 citations), Human-Computer Interaction (60 citations) and Computer Vision and Pattern Recognition (176 citations). Chandra Prakash has collaborated with scholars based in India, Spain and Ireland. Frequent co-authors include Rajesh Kumar, Namita Mittal, Sourabh Bharti, Richard W. McCallum, Anshul Mittal, João Manuel R. S. Tavares, Ankit Vijayvargiya, Vijay Laxmi, S. Rajkumar and Chandra Mouli. Their work appears in journals such as Artificial Intelligence Review, Robotics and Autonomous Systems and Biomedical Signal Processing and Control.
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.