C. Eswaran
- Cognitive Neuroscience top 2%
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- V. SrinivasanN. SriraamMarwan D. SalehAhmed Wasif RezaRajasvaran LogeswaranPurwanto PurwantoMohamed Uvaze Ahamed AyoobkhanA. Antoniou
- Topics
- Digital Filter Design and Implementation (34 papers)Analog and Mixed-Signal Circuit Design (21 papers)Advanced Data Compression Techniques (20 papers)
In The Last Decade
C. Eswaran
127 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 128
- Cognitive Neuroscience 916
- Signal Processing 854
- Computer Vision and Pattern Recognition 522
- Radiology, Nuclear Medicine and Imaging 414
- Cardiology and Cardiovascular Medicine 377
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-authorship network of co-authors of C. Eswaran
This figure shows the co-authorship network connecting the top 25 collaborators of C. Eswaran. A scholar is included among the top collaborators of C. Eswaran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. Eswaran. C. Eswaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Enhanced hybrid prediction models for time series prediction. | 2 |
| 2 | CBIR System Based On Prediction Errors. | 11 |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 21 | |
| 6 | 35 | |
| 7 | 29 | |
| 8 | 44 | |
| 9 | 73 | |
| 10 | 483 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | Effect of Hyper-Threading Technology on Java Virtual Machines: A Performance Study. | 0 |
| 15 | 23 | |
| 16 | Patterns for e-learning content development | 3 |
| 17 | A supervised learning neural network for self-organized mapping of multiple-valued patterns | 2 |
| 18 | 0 | |
| 19 | On adaptors for generalized wave digital filters | 2 |
| 20 | Realization of generalized wave digital filters using adaptors | 1 |
About C. Eswaran
C. Eswaran is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Ophthalmology, 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) and Advanced Data Compression Techniques (20 papers). The work is most often cited by research in Signal Processing (854 citations), Cognitive Neuroscience (916 citations) and Ophthalmology (279 citations). C. Eswaran has collaborated with scholars based in Malaysia, India and Canada. Frequent co-authors include V. Srinivasan, N. Sriraam, Marwan D. Saleh, Ahmed Wasif Reza, Rajasvaran Logeswaran, Purwanto Purwanto, Mohamed Uvaze Ahamed Ayoobkhan, A. Antoniou, Ahmed Mueen and Kaharudin Dimyati. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Communications and IEEE Transactions on Computers.
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.