K. Anandakumar
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
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- Handwritten Text Recognition Techniques
- Context-Aware Activity Recognition Systems
Papers in
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- Handwritten Text Recognition Techniques 2
- Image and Signal Denoising Methods 2
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- Artificial Intelligence in Healthcare 5
- Co-authors
- M. Punithavalli (1 shared paper)A. Bharathi (2 shared papers)M. Sangeetha (1 shared paper)S.A. Kassam (2 shared papers)
- Journals
- Indian Journal of Science and Technology (2 papers)IEEE Transactions on Consumer Electronics (1 paper)Journal of Biomaterials and Tissue Engineering (1 paper)International Journal of Advanced Computer Science and Applications (1 paper)Journal of Medical Imaging and Health Informatics (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
K. Anandakumar
17 papers receiving 243 citations
Peers
Comparison fields: 5 of 77
- Health Information Management 20
- Computer Vision and Pattern Recognition 85
- Computer Networks and Communications 89
- Human-Computer Interaction 20
- Information Systems 63
Countries citing papers authored by K. Anandakumar
This map shows the geographic impact of K. Anandakumar'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 K. Anandakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Anandakumar more than expected).
Fields of papers citing papers by K. Anandakumar
This network shows the impact of papers produced by K. Anandakumar. 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 K. Anandakumar. The network helps show where K. Anandakumar may publish in the future.
Co-authors
The 4 scholars most cited alongside K. Anandakumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 127 | |
| 2 | 2010 | 44 | |
| 3 | 2010 | 40 | |
| 4 | 2011 | 21 | |
| 5 | 1997 | 13 | |
| 6 | 2008 | 9 | |
| 7 | 2013 | 5 | |
| 8 | 2015 | 5 | |
| 9 | 2012 | 4 | |
| 10 | 2009 | 2 | |
| 11 | 2015 | 2 | |
| 12 | 2015 | 2 | |
| 13 | 2014 | 2 | |
| 14 | 2012 | 1 | |
| 15 | 2002 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2002 | 1 |
About K. Anandakumar
K. Anandakumar is a scholar working on Computer Vision and Pattern Recognition, Health Information Management, Artificial Intelligence, Signal Processing and Information Systems, having authored 17 papers that have together received 280 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), Advanced Adaptive Filtering Techniques (2 papers), Hand Gesture Recognition Systems (2 papers), Team Dynamics and Performance (2 papers), Handwritten Text Recognition Techniques (2 papers), Image and Signal Denoising Methods (2 papers), Blind Source Separation Techniques (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Health Information Management (20 citations), Computer Vision and Pattern Recognition (85 citations), Computer Networks and Communications (89 citations), Human-Computer Interaction (20 citations) and Information Systems (63 citations). K. Anandakumar has collaborated with scholars based in India and United States. Frequent co-authors include M. Punithavalli, A. Bharathi, M. Sangeetha and S.A. Kassam. Their work appears in journals such as Indian Journal of Science and Technology, IEEE Transactions on Consumer Electronics, Journal of Biomaterials and Tissue Engineering, International Journal of Advanced Computer Science and Applications and Journal of Medical Imaging and Health Informatics.
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.