R.C. Suganthe
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Plant Science
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- G. R. SreekanthR.S. LathaM. Kalaiselvi GeethaS. KarthikeyanN. ShanthiR. Manjula DeviP. BalasubramanieRamu Elango
- Topics
- Opportunistic and Delay-Tolerant Networks (7 papers)Mobile Ad Hoc Networks (6 papers)Network Security and Intrusion Detection (5 papers)
In The Last Decade
R.C. Suganthe
35 papers receiving 308 citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 108
- Artificial Intelligence 98
- Plant Science 70
- Information Systems 69
- Computer Vision and Pattern Recognition 68
Countries citing papers authored by R.C. Suganthe
This map shows the geographic impact of R.C. Suganthe'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.C. Suganthe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.C. Suganthe more than expected).
Fields of papers citing papers by R.C. Suganthe
This network shows the impact of papers produced by R.C. Suganthe. 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.C. Suganthe. The network helps show where R.C. Suganthe may publish in the future.
Co-authorship network of co-authors of R.C. Suganthe
This figure shows the co-authorship network connecting the top 25 collaborators of R.C. Suganthe. A scholar is included among the top collaborators of R.C. Suganthe 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.C. Suganthe. R.C. Suganthe 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | Automated Detection and Classification of Diabetic Retinopathy and Diabetic Macular Edema in Retinal Fundus Images Using Deep Learning Approach | 4 |
| 7 | Cluster-based Task Scheduling Using K-Means Clustering for Load Balancing in Cloud Datacenters | 10 |
| 8 | A Cnn Model Based Approach For Offline HandwrittenTamil Text Recognition System | 5 |
| 9 | Multiclass Classification of Alzheimer’s Disease Using Hybrid Deep Convolutional Neural Network | 21 |
| 10 | 18 | |
| 11 | 55 | |
| 12 | 14 | |
| 13 | 22 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 8 |
About R.C. Suganthe
R.C. Suganthe is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Neurology, having authored 42 papers that have together received 365 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (7 papers), Mobile Ad Hoc Networks (6 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Neurology (55 citations), Computer Networks and Communications (108 citations) and Health Information Management (21 citations). R.C. Suganthe has collaborated with scholars based in India, China and Czechia. Frequent co-authors include G. R. Sreekanth, R.S. Latha, M. Kalaiselvi Geetha, S. Karthikeyan, N. Shanthi, R. Manjula Devi, P. Balasubramanie, Ramu Elango, S Sivakumar and Logesh Ravi. Their work appears in journals such as Soft Computing, The Scientific World JOURNAL and Mathematical Problems in Engineering.
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.