D. Anil Kumar
Impact in
- Human-Computer Interaction top 1%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
Papers in
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- Human Pose and Action Recognition 31
- Video Analysis and Summarization 5
- Video Surveillance and Tracking Methods 4
- Image and Video Stabilization 3
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- Hand Gesture Recognition Systems 31
- Co-authors
- P. V. V. Kishore (38 shared papers)E. Kiran Kumar (23 shared papers)Ananth Sastry (11 shared papers)C. Shobha Devi (3 shared papers)Surya S. Singh (3 shared papers)S. Satyanarayana (3 shared papers)Yata Praveen Kumar (3 shared papers)G. Anantha Rao (3 shared papers)
In The Last Decade
D. Anil Kumar
52 papers receiving 887 citations
Peers
Comparison fields: 5 of 95
- Human-Computer Interaction 442
- Computer Vision and Pattern Recognition 384
- Developmental and Educational Psychology 215
- Health Information Management 37
- Oncology 136
Countries citing papers authored by D. Anil Kumar
This map shows the geographic impact of D. Anil Kumar'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 D. Anil Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Anil Kumar more than expected).
Fields of papers citing papers by D. Anil Kumar
This network shows the impact of papers produced by D. Anil Kumar. 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 D. Anil Kumar. The network helps show where D. Anil Kumar may publish in the future.
Co-authors
The 24 scholars most cited alongside D. Anil Kumar, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 80 | |
| 2 | 2018 | 66 | |
| 3 | 2018 | 64 | |
| 4 | 2018 | 62 | |
| 5 | 2019 | 54 | |
| 6 | 2014 | 46 | |
| 7 | 2019 | 45 | |
| 8 | 2018 | 41 | |
| 9 | 2016 | 39 | |
| 10 | 2023 | 37 | |
| 11 | 2016 | 37 | |
| 12 | 2017 | 35 | |
| 13 | 2018 | 27 | |
| 14 | 2018 | 23 | |
| 15 | 2017 | 23 | |
| 16 | 2018 | 22 | |
| 17 | 2016 | 21 | |
| 18 | 2020 | 20 | |
| 19 | 2017 | 20 | |
| 20 | 2018 | 16 |
About D. Anil Kumar
D. Anil Kumar is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Biomedical Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 54 papers that have together received 931 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (31 papers), Hand Gesture Recognition Systems (31 papers), Gait Recognition and Analysis (21 papers), Human Motion and Animation (5 papers), Video Analysis and Summarization (5 papers), Video Surveillance and Tracking Methods (4 papers), Hearing Impairment and Communication (3 papers) and Image and Video Stabilization (3 papers). The work is most often cited by research in Human-Computer Interaction (442 citations), Computer Vision and Pattern Recognition (384 citations), Developmental and Educational Psychology (215 citations), Health Information Management (37 citations) and Oncology (136 citations). D. Anil Kumar has collaborated with scholars based in India, Nepal and Taiwan. Frequent co-authors include P. V. V. Kishore, E. Kiran Kumar, Ananth Sastry, C. Shobha Devi, Surya S. Singh, S. Satyanarayana, Yata Praveen Kumar, G. Anantha Rao, Apurba Sastry and Suman Maloji. Their work appears in journals such as IEEE Access, IEEE Signal Processing Letters, Multimedia Tools and Applications, Journal of Photochemistry and Photobiology B Biology and Journal of King Saud University - Computer and Information Sciences.
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.