C. Parameswariah
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Cognitive Neuroscience
- Signal Processing
- Computer Vision and Pattern Recognition
- Co-authors
- M.D. CoxEric J. BakkerM. J. Creech‐EakmanDavid F. BuscherColby JurgensonJ. S. YoungChristopher A. HaniffJayadev Rajagopal
- Topics
- Image and Signal Denoising Methods (5 papers)Adaptive optics and wavefront sensing (3 papers)Seismic Imaging and Inversion Techniques (2 papers)
- Journals
- IEEE Transactions on Power DeliveryIEEE Power Engineering ReviewIEEE Potentials
- Partner nations
- United StatesUnited KingdomChile
In The Last Decade
C. Parameswariah
8 papers receiving 206 citations
Peers
Comparison fields: 5 of 54
- Electrical and Electronic Engineering 103
- Control and Systems Engineering 92
- Cognitive Neuroscience 40
- Signal Processing 38
- Computer Vision and Pattern Recognition 33
Countries citing papers authored by C. Parameswariah
This map shows the geographic impact of C. Parameswariah'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. Parameswariah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Parameswariah more than expected).
Fields of papers citing papers by C. Parameswariah
This network shows the impact of papers produced by C. Parameswariah. 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. Parameswariah. The network helps show where C. Parameswariah may publish in the future.
Co-authorship network of co-authors of C. Parameswariah
This figure shows the co-authorship network connecting the top 25 collaborators of C. Parameswariah. A scholar is included among the top collaborators of C. Parameswariah 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. Parameswariah. C. Parameswariah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | Understanding wavelet analysis and filters for engineering applications | 4 |
| 8 | 99 | |
| 9 | 98 |
About C. Parameswariah
C. Parameswariah is a scholar working on Instrumentation, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 9 papers that have together received 222 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (5 papers), Adaptive optics and wavefront sensing (3 papers) and Seismic Imaging and Inversion Techniques (2 papers). The work is most often cited by research in Control and Systems Engineering (92 citations), Signal Processing (38 citations) and Cognitive Neuroscience (40 citations). C. Parameswariah has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include M.D. Cox, Eric J. Bakker, M. J. Creech‐Eakman, David F. Buscher, Colby Jurgenson, J. S. Young, Christopher A. Haniff, Jayadev Rajagopal, Daniel A. Klinglesmith and E. Seneta. Their work appears in journals such as IEEE Transactions on Power Delivery, IEEE Power Engineering Review and IEEE Potentials.
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.