B. Perumal
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- M. Pallikonda RajasekaranJ. DenyP. NagarajV. MuneeswaranS. SaravananG. SuseendranD. AkilaRamanathan Subramanian
- Topics
- Image and Signal Denoising Methods (8 papers)Advanced Data Compression Techniques (5 papers)Brain Tumor Detection and Classification (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsMedia Technology
- Journals
- Multimedia Tools and ApplicationsEnvironmental Geochemistry and HealthJournal of Intelligent & Fuzzy Systems
- Partner nations
- IndiaCubaUnited States
In The Last Decade
B. Perumal
35 papers receiving 226 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 98
- Computer Networks and Communications 69
- Artificial Intelligence 62
- Electrical and Electronic Engineering 42
- Biomedical Engineering 28
Countries citing papers authored by B. Perumal
This map shows the geographic impact of B. Perumal'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 B. Perumal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Perumal more than expected).
Fields of papers citing papers by B. Perumal
This network shows the impact of papers produced by B. Perumal. 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 B. Perumal. The network helps show where B. Perumal may publish in the future.
Co-authorship network of co-authors of B. Perumal
This figure shows the co-authorship network connecting the top 25 collaborators of B. Perumal. A scholar is included among the top collaborators of B. Perumal 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 B. Perumal. B. Perumal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 19 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 8 | |
| 16 | 14 | |
| 17 | 40 | |
| 18 | 28 | |
| 19 | 7 | |
| 20 | 1 |
About B. Perumal
B. Perumal is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Neurology, having authored 50 papers that have together received 247 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Advanced Data Compression Techniques (5 papers) and Brain Tumor Detection and Classification (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (98 citations), Computer Networks and Communications (69 citations) and Media Technology (21 citations). B. Perumal has collaborated with scholars based in India, Cuba and United States. Frequent co-authors include M. Pallikonda Rajasekaran, J. Deny, P. Nagaraj, V. Muneeswaran, S. Saravanan, G. Suseendran, D. Akila, Ramanathan Subramanian, A. Lakshmi and E. Parimalasundar. Their work appears in journals such as Multimedia Tools and Applications, Environmental Geochemistry and Health and Journal of Intelligent & Fuzzy Systems.
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.