T. Rajendran
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Neurology top 10%
- Computer Networks and Communications
- Co-authors
- T. AnithaS. SekarG. Charlyn Pushpa LathaG. EmayavarambanK. MaheswariS. RamkumarA. PriyaS. Manimurugan
- Topics
- EEG and Brain-Computer Interfaces (5 papers)Brain Tumor Detection and Classification (3 papers)Network Security and Intrusion Detection (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Ambient Intelligence and Humanized ComputingComputational Intelligence and Neuroscience
- Partner nations
- IndiaEthiopiaUnited States
In The Last Decade
T. Rajendran
20 papers receiving 288 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 89
- Computer Vision and Pattern Recognition 87
- Radiology, Nuclear Medicine and Imaging 72
- Neurology 66
- Computer Networks and Communications 44
Countries citing papers authored by T. Rajendran
This map shows the geographic impact of T. Rajendran'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 T. Rajendran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Rajendran more than expected).
Fields of papers citing papers by T. Rajendran
This network shows the impact of papers produced by T. Rajendran. 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 T. Rajendran. The network helps show where T. Rajendran may publish in the future.
Co-authorship network of co-authors of T. Rajendran
This figure shows the co-authorship network connecting the top 25 collaborators of T. Rajendran. A scholar is included among the top collaborators of T. Rajendran 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 T. Rajendran. T. Rajendran 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 | 5 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 60 | |
| 8 | 20 | |
| 9 | 21 | |
| 10 | 47 | |
| 11 | 1 | |
| 12 | 40 | |
| 13 | 3 | |
| 14 | 31 | |
| 15 | 16 | |
| 16 | 27 | |
| 17 | 18 | |
| 18 | 8 | |
| 19 | Intrusion Detection System with packet filtering for IP Spoofing | 6 |
| 20 | 4 |
About T. Rajendran
T. Rajendran is a scholar working on General Dentistry, Signal Processing and Neurology, having authored 22 papers that have together received 324 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Brain Tumor Detection and Classification (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Neurology (66 citations), Health Informatics (6 citations) and Computer Vision and Pattern Recognition (87 citations). T. Rajendran has collaborated with scholars based in India, Ethiopia and United States. Frequent co-authors include T. Anitha, S. Sekar, G. Charlyn Pushpa Latha, G. Emayavaramban, K. Maheswari, S. Ramkumar, A. Priya, S. Manimurugan, P. Sriramakrishnan and T. Ramesh. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Ambient Intelligence and Humanized Computing and Computational Intelligence and Neuroscience.
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.