M. Sundaram
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Media Technology top 5%
- Cognitive Neuroscience
- Electrical and Electronic Engineering
- Co-authors
- N. ArumugamK. RamarT. JayaM MathankumarPrahlad VadakkepatRichard M. VoylesMamdouh El Haj AssadS. Karthik
- Topics
- Electric Motor Design and Analysis (7 papers)Image and Signal Denoising Methods (6 papers)Blind Source Separation Techniques (6 papers)
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
M. Sundaram
31 papers receiving 301 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 150
- Artificial Intelligence 84
- Media Technology 62
- Cognitive Neuroscience 54
- Electrical and Electronic Engineering 47
Countries citing papers authored by M. Sundaram
This map shows the geographic impact of M. Sundaram'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 M. Sundaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Sundaram more than expected).
Fields of papers citing papers by M. Sundaram
This network shows the impact of papers produced by M. Sundaram. 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 M. Sundaram. The network helps show where M. Sundaram may publish in the future.
Co-authorship network of co-authors of M. Sundaram
This figure shows the co-authorship network connecting the top 25 collaborators of M. Sundaram. A scholar is included among the top collaborators of M. Sundaram 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 M. Sundaram. M. Sundaram 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 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 21 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 1 | |
| 20 | Magnetic analysis and comparison of Switched Reluctance Motors with different stator pole shapes using a 3D finite element method | 9 |
About M. Sundaram
M. Sundaram is a scholar working on Signal Processing, Media Technology and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 334 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (7 papers), Image and Signal Denoising Methods (6 papers) and Blind Source Separation Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (150 citations), Media Technology (62 citations) and Cognitive Neuroscience (54 citations). M. Sundaram has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include N. Arumugam, K. Ramar, T. Jaya, M Mathankumar, Prahlad Vadakkepat, Richard M. Voyles, Mamdouh El Haj Assad, S. Karthik, P. Punitha and K. Sujatha. Their work appears in journals such as Applied Soft Computing, Biomedical Signal Processing and Control and Soft Computing.
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.