R. Sukanesh
Impact in
- Media Technology top 2%
- Advanced Image Fusion Techniques
-
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
Papers in
-
- Image and Signal Denoising Methods 11
- Medical Image Segmentation Techniques 9
-
- EEG and Brain-Computer Interfaces 18
- Co-authors
- G. Suresh (7 shared papers)S. Sudha (7 shared papers)D. Devaraj (4 shared papers)T. Jayasree (3 shared papers)S. Palanivel Rajan (7 shared papers)M. Murugesan (2 shared papers)Harikumar Rajaguru (5 shared papers)P. Venkatakrishnan (2 shared papers)
- Journals
- Neurocomputing (1 paper)Advances in experimental medicine and biology (1 paper)Sadhana (1 paper)International Journal of Bio-Inspired Computation (1 paper)Arabian Journal for Science and Engineering (1 paper)
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
R. Sukanesh
68 papers receiving 721 citations
Peers
Comparison fields: 5 of 101
- Media Technology 171
- Computer Vision and Pattern Recognition 394
- Neurology 127
- Signal Processing 83
- Artificial Intelligence 183
Countries citing papers authored by R. Sukanesh
This map shows the geographic impact of R. Sukanesh'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 R. Sukanesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Sukanesh more than expected).
Fields of papers citing papers by R. Sukanesh
This network shows the impact of papers produced by R. Sukanesh. 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 R. Sukanesh. The network helps show where R. Sukanesh may publish in the future.
Co-authors
The 13 scholars most cited alongside R. Sukanesh, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 143 | |
| 2 | 2009 | 61 | |
| 3 | 2013 | 55 | |
| 4 | 2011 | 48 | |
| 5 | 2007 | 45 | |
| 6 | 2009 | 40 | |
| 7 | 2012 | 38 | |
| 8 | 2009 | 23 | |
| 9 | 2009 | 22 | |
| 10 | 2013 | 20 | |
| 11 | 2017 | 19 | |
| 12 | 2005 | 18 | |
| 13 | 2004 | 18 | |
| 14 | 2010 | 18 | |
| 15 | 2011 | 16 | |
| 16 | 2013 | 16 | |
| 17 | 2009 | 15 | |
| 18 | 2010 | 14 | |
| 19 | 2009 | 14 | |
| 20 | 2010 | 14 |
About R. Sukanesh
R. Sukanesh is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 71 papers that have together received 868 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Neural Networks and Applications (11 papers), Image and Signal Denoising Methods (11 papers), Medical Image Segmentation Techniques (9 papers), Brain Tumor Detection and Classification (7 papers), Blind Source Separation Techniques (6 papers), Fuzzy Logic and Control Systems (6 papers) and ECG Monitoring and Analysis (6 papers). The work is most often cited by research in Media Technology (171 citations), Computer Vision and Pattern Recognition (394 citations), Neurology (127 citations), Signal Processing (83 citations) and Artificial Intelligence (183 citations). R. Sukanesh has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include G. Suresh, S. Sudha, D. Devaraj, T. Jayasree, S. Palanivel Rajan, M. Murugesan, Harikumar Rajaguru, P. Venkatakrishnan, R. Kalidoss and Anil Kumar. Their work appears in journals such as Neurocomputing, Advances in experimental medicine and biology, Sadhana, International Journal of Bio-Inspired Computation and Arabian Journal for Science and Engineering.
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.