C. Eswaran
Impact in
- Signal Processing top 0.5%
- Blind Source Separation Techniques
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
Papers in
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- Digital Filter Design and Implementation 34
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- Advanced Data Compression Techniques 20
- Image and Signal Denoising Methods 12
- Digital Imaging for Blood Diseases 10
- Co-authors
- N. Sriraam (13 shared papers)V. Srinivasan (2 shared papers)Marwan D. Saleh (8 shared papers)Ahmed Wasif Reza (5 shared papers)Rajasvaran Logeswaran (14 shared papers)Purwanto Purwanto (7 shared papers)A. Antoniou (13 shared papers)Ahmed Mueen (1 shared paper)
In The Last Decade
C. Eswaran
127 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 123
- Signal Processing 840
- Cognitive Neuroscience 904
- Ophthalmology 269
- Computer Vision and Pattern Recognition 518
- Radiology, Nuclear Medicine and Imaging 407
Countries citing papers authored by C. Eswaran
This map shows the geographic impact of C. Eswaran'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 C. Eswaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Eswaran more than expected).
Fields of papers citing papers by C. Eswaran
This network shows the impact of papers produced by C. Eswaran. 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 C. Eswaran. The network helps show where C. Eswaran may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Eswaran, 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 484 | |
| 2 | 2005 | 343 | |
| 3 | 2012 | 83 | |
| 4 | 2008 | 72 | |
| 5 | 1991 | 64 | |
| 6 | 1997 | 63 | |
| 7 | 2010 | 59 | |
| 8 | 2010 | 45 | |
| 9 | 2008 | 44 | |
| 10 | 2007 | 36 | |
| 11 | 2009 | 35 | |
| 12 | 2008 | 29 | |
| 13 | 1995 | 27 | |
| 14 | 2006 | 26 | |
| 15 | 2012 | 26 | |
| 16 | 2017 | 26 | |
| 17 | 2011 | 25 | |
| 18 | 2007 | 24 | |
| 19 | 2005 | 23 | |
| 20 | 2012 | 23 |
About C. Eswaran
C. Eswaran is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Biomedical Engineering, Electrical and Electronic Engineering and Artificial Intelligence, having authored 138 papers that have together received 2.2k indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (34 papers), Analog and Mixed-Signal Circuit Design (21 papers), Advanced Data Compression Techniques (20 papers), Retinal Imaging and Analysis (15 papers), Neural Networks and Applications (13 papers), Image and Signal Denoising Methods (12 papers), Glaucoma and retinal disorders (12 papers) and Digital Imaging for Blood Diseases (10 papers). The work is most often cited by research in Signal Processing (840 citations), Cognitive Neuroscience (904 citations), Ophthalmology (269 citations), Computer Vision and Pattern Recognition (518 citations) and Radiology, Nuclear Medicine and Imaging (407 citations). C. Eswaran has collaborated with scholars based in Malaysia, India and Canada. Frequent co-authors include N. Sriraam, V. Srinivasan, Marwan D. Saleh, Ahmed Wasif Reza, Rajasvaran Logeswaran, Purwanto Purwanto, A. Antoniou, Ahmed Mueen, Kaharudin Dimyati and Junaidi Abdullah. Their work appears in journals such as Journal of Medical Systems, Electronics Letters, IEEE Transactions on Communications, Multidimensional Systems and Signal Processing and Computers in Biology and Medicine.
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.