S. Sountharrajan
- Artificial Intelligence
- Electrical and Electronic Engineering
- Information Systems
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- M. KarthigaDurga Prasad BavirisettiP. ThangarajBalamurugan BalusamyShitharth SelvarajanShishir Kumar ShandilyaG. Sathish KumarA. Sampathkumar
- Topics
- Artificial Intelligence in Healthcare (6 papers)Brain Tumor Detection and Classification (5 papers)Data Mining Algorithms and Applications (4 papers)
- Cited by
- Energy Engineering and Power TechnologyHealth Information ManagementArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsHeliyon
In The Last Decade
S. Sountharrajan
35 papers receiving 190 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 66
- Electrical and Electronic Engineering 39
- Information Systems 35
- Computer Vision and Pattern Recognition 29
- Computer Networks and Communications 27
Countries citing papers authored by S. Sountharrajan
This map shows the geographic impact of S. Sountharrajan'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 S. Sountharrajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Sountharrajan more than expected).
Fields of papers citing papers by S. Sountharrajan
This network shows the impact of papers produced by S. Sountharrajan. 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 S. Sountharrajan. The network helps show where S. Sountharrajan may publish in the future.
Co-authorship network of co-authors of S. Sountharrajan
This figure shows the co-authorship network connecting the top 25 collaborators of S. Sountharrajan. A scholar is included among the top collaborators of S. Sountharrajan 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 S. Sountharrajan. S. Sountharrajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 62 | |
| 14 | Effective Feature Selection for Hybrid Wireless IoT Network Intrusion Detection Systems Using Machine Learning Techniques. | 8 |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 10 | |
| 20 | 4 |
About S. Sountharrajan
S. Sountharrajan is a scholar working on Health Information Management, Neurology and Signal Processing, having authored 40 papers that have together received 206 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (6 papers), Brain Tumor Detection and Classification (5 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (15 citations), Health Information Management (16 citations) and Artificial Intelligence (66 citations). S. Sountharrajan has collaborated with scholars based in India, Norway and Ethiopia. Frequent co-authors include M. Karthiga, Durga Prasad Bavirisetti, P. Thangaraj, Balamurugan Balusamy, Shitharth Selvarajan, Shishir Kumar Shandilya, G. Sathish Kumar, A. Sampathkumar, Ananya Mahapatra and S. Sangeetha. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Heliyon.
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.