Uma M
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Human-Computer Interaction top 10%
Papers in
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- Advanced Machining and Optimization Techniques 5
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- Augmented Reality Applications 5
- Co-authors
- G. Padmavathi (3 shared papers)S. Prabhu (13 shared papers)B. K. Vinayagam (3 shared papers)D. G. Narayan (5 shared papers)T. Sheela (2 shared papers)K. Rajendran (2 shared papers)V. Praveena (1 shared paper)R. Santhosh (1 shared paper)
In The Last Decade
Uma M
50 papers receiving 416 citations
Peers
Comparison fields: 5 of 84
- Signal Processing 76
- Human-Computer Interaction 37
- Computer Networks and Communications 128
- Information Systems 84
- Computer Vision and Pattern Recognition 64
Countries citing papers authored by Uma M
This map shows the geographic impact of Uma M'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 Uma M with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma M more than expected).
Fields of papers citing papers by Uma M
This network shows the impact of papers produced by Uma M. 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 Uma M. The network helps show where Uma M may publish in the future.
Co-authors
The 19 scholars most cited alongside Uma M, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 115 | |
| 2 | 2014 | 40 | |
| 3 | 2020 | 34 | |
| 4 | 2021 | 33 | |
| 5 | 2022 | 28 | |
| 6 | 2013 | 19 | |
| 7 | 2013 | 19 | |
| 8 | 2013 | 16 | |
| 9 | 2023 | 15 | |
| 10 | 2012 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2011 | 8 | |
| 14 | A COMPARATIVE STUDY AND PERFORMANCE EVALUATION OF REACTIVE QUALITY OF SERVICE ROUTING PROTOCOLS IN MOBILE ADHOC NETWORKS | 2009 | 8 |
| 15 | 2013 | 7 | |
| 16 | 2022 | 7 | |
| 17 | Growth, litterfall and litter decomposition of Casuarina equisetifolia in a semiarid zone. | 2014 | 6 |
| 18 | 2020 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 4 |
About Uma M
Uma M is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Mechanical Engineering and Information Systems, having authored 65 papers that have together received 463 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Mobile Ad Hoc Networks (5 papers), Augmented Reality Applications (5 papers), Advanced Machining and Optimization Techniques (5 papers), Gaze Tracking and Assistive Technology (4 papers), Advanced machining processes and optimization (4 papers), Virtual Reality Applications and Impacts (4 papers) and Sleep and Work-Related Fatigue (4 papers). The work is most often cited by research in Signal Processing (76 citations), Human-Computer Interaction (37 citations), Computer Networks and Communications (128 citations), Information Systems (84 citations) and Computer Vision and Pattern Recognition (64 citations). Uma M has collaborated with scholars based in India, Nepal and Cameroon. Frequent co-authors include G. Padmavathi, S. Prabhu, B. K. Vinayagam, D. G. Narayan, T. Sheela, K. Rajendran, V. Praveena, R. Santhosh, G. Saranya and Vivek Vivek. Their work appears in journals such as IEEE Access, International Journal on Interactive Design and Manufacturing (IJIDeM), Scientific Reports, Journal of Materials Engineering and Performance and Neural Computing and Applications.
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.