R. Kumaresan
- Signal Processing top 0.1%
- Computational Mechanics top 1%
- Civil and Structural Engineering top 1%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 2%
- Co-authors
- D.W. TuftsA.K. ShawLouis L. ScharfIvars KirsteinsPankaj GuptaWilliam J. OhleyYadong WangY.T. Feng
- Topics
- Structural Health Monitoring Techniques (29 papers)Speech and Audio Processing (25 papers)Advanced Adaptive Filtering Techniques (22 papers)
- Journals
- Proceedings of the IEEEIEEE Transactions on Signal ProcessingThe Journal of the Acoustical Society of America
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
R. Kumaresan
86 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Signal Processing 2.3k
- Computational Mechanics 879
- Civil and Structural Engineering 859
- Electrical and Electronic Engineering 760
- Artificial Intelligence 550
Countries citing papers authored by R. Kumaresan
This map shows the geographic impact of R. Kumaresan'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. Kumaresan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Kumaresan more than expected).
Fields of papers citing papers by R. Kumaresan
This network shows the impact of papers produced by R. Kumaresan. 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. Kumaresan. The network helps show where R. Kumaresan may publish in the future.
Co-authorship network of co-authors of R. Kumaresan
This figure shows the co-authorship network connecting the top 25 collaborators of R. Kumaresan. A scholar is included among the top collaborators of R. Kumaresan 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 R. Kumaresan. R. Kumaresan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | Encoding Bandpass Signals Using Level Crossings: A Model-Based Approach | 1 |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 19 | |
| 9 | 16 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | On instantaneous frequency of multicomponent signals | 2 |
| 13 | 4 | |
| 14 | Invariance property of the determinant of a matrix whose elements are a sum of sinusoids and its application | 4 |
| 15 | 8 | |
| 16 | 7 | |
| 17 | 31 | |
| 18 | 34 | |
| 19 | 6 | |
| 20 | 129 |
About R. Kumaresan
R. Kumaresan is a scholar working on Signal Processing, Civil and Structural Engineering and Computational Mechanics, having authored 91 papers that have together received 3.9k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (29 papers), Speech and Audio Processing (25 papers) and Advanced Adaptive Filtering Techniques (22 papers). The work is most often cited by research in Signal Processing (2.3k citations), Computational Mechanics (879 citations) and Civil and Structural Engineering (859 citations). R. Kumaresan has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include D.W. Tufts, A.K. Shaw, Louis L. Scharf, Ivars Kirsteins, Pankaj Gupta, William J. Ohley, Yadong Wang, Y.T. Feng, Harishchandra Dubey and Kunal Mankodiya. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.
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.