R.C. Suganthe

551 total citations
42 papers, 365 citations indexed

About

R.C. Suganthe is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, R.C. Suganthe has authored 42 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 15 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in R.C. Suganthe's work include Opportunistic and Delay-Tolerant Networks (7 papers), Mobile Ad Hoc Networks (6 papers) and Network Security and Intrusion Detection (5 papers). R.C. Suganthe is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (7 papers), Mobile Ad Hoc Networks (6 papers) and Network Security and Intrusion Detection (5 papers). R.C. Suganthe collaborates with scholars based in India, China and Czechia. R.C. Suganthe's 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 and has published in prestigious journals such as Soft Computing, The Scientific World JOURNAL and Mathematical Problems in Engineering.

In The Last Decade

R.C. Suganthe

35 papers receiving 308 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R.C. Suganthe India 12 108 98 70 69 68 42 365
L. Sujihelen India 8 48 0.4× 77 0.8× 62 0.9× 33 0.5× 102 1.5× 38 318
Abhineet Anand India 11 77 0.7× 69 0.7× 208 3.0× 64 0.9× 49 0.7× 49 490
Fathe Jeribi Saudi Arabia 10 32 0.3× 83 0.8× 76 1.1× 29 0.4× 48 0.7× 35 327
G. Pradeepini India 9 49 0.5× 92 0.9× 37 0.5× 55 0.8× 41 0.6× 41 244
Snehlata Dongre India 11 68 0.6× 188 1.9× 35 0.5× 39 0.6× 29 0.4× 43 380
G. Geetha India 10 56 0.5× 104 1.1× 51 0.7× 106 1.5× 85 1.3× 53 349
R.S. Latha India 10 36 0.3× 46 0.5× 91 1.3× 26 0.4× 71 1.0× 33 292
T. Tamilvizhi India 10 97 0.9× 52 0.5× 55 0.8× 72 1.0× 27 0.4× 32 310
Md Babul Islam Italy 14 26 0.2× 144 1.5× 38 0.5× 33 0.5× 40 0.6× 33 339

Countries citing papers authored by R.C. Suganthe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Shanthi, N., et al.. (2024). An Enhanced Ensemble Framework for Disaster Tweet Categorization. 10.66. 1–6.
2.
3.
Suganthe, R.C., et al.. (2022). Convolutional Neural Network Based Multi Class Classification Model for Brain Tumor Diagnosis. 2022 International Conference on Computer Communication and Informatics (ICCCI). 1–6. 1 indexed citations
4.
Sreekanth, G. R., et al.. (2022). Diagnosis of Diabetic Retinopathy and Glaucoma from Retinal Images Using Deep Convolution Neural Network. 2022 International Conference on Computer Communication and Informatics (ICCCI). 1–6. 2 indexed citations
5.
Suganthe, R.C., et al.. (2022). Performance Evaluation of Convolutional Neural Network Based Models On Signature Verification System. 2022 International Conference on Computer Communication and Informatics (ICCCI). 1–6. 1 indexed citations
6.
Sreekanth, G. R., et al.. (2021). Automated Detection and Classification of Diabetic Retinopathy and Diabetic Macular Edema in Retinal Fundus Images Using Deep Learning Approach. NVEO - NATURAL VOLATILES & ESSENTIAL OILS Journal | NVEO. 61–70. 4 indexed citations
7.
Suganthe, R.C., et al.. (2021). Cluster-based Task Scheduling Using K-Means Clustering for Load Balancing in Cloud Datacenters. 網際網路技術學刊. 22(1). 121–130. 10 indexed citations
8.
Suganthe, R.C., et al.. (2021). A Cnn Model Based Approach For Offline HandwrittenTamil Text Recognition System. NVEO - NATURAL VOLATILES & ESSENTIAL OILS Journal | NVEO. 164–175. 5 indexed citations
9.
Suganthe, R.C., et al.. (2021). Multiclass Classification of Alzheimer’s Disease Using Hybrid Deep Convolutional Neural Network. NVEO - NATURAL VOLATILES & ESSENTIAL OILS Journal | NVEO. 145–153. 21 indexed citations
10.
Suganthe, R.C., et al.. (2021). Blockchain enabled Digitization of Land Registration. 1–5. 18 indexed citations
11.
Latha, R.S., et al.. (2021). Automatic Detection of Tea Leaf Diseases using Deep Convolution Neural Network. 1–6. 55 indexed citations
12.
Latha, R.S., et al.. (2021). A survey on the applications of Deep Neural Networks. 1–3. 14 indexed citations
13.
Suganthe, R.C., R.S. Latha, M. Kalaiselvi Geetha, & G. R. Sreekanth. (2020). Diagnosis of Alzheimer's Disease from Brain Magnetic Resonance Imaging Images using Deep Learning Algorithms. Advances in Electrical and Computer Engineering. 20(3). 57–64. 22 indexed citations
14.
Suganthe, R.C., et al.. (2020). Task scheduling using artificial bee foraging optimization for load balancing in cloud data centers. Computer Applications in Engineering Education. 28(4). 769–778. 19 indexed citations
15.
Sreekanth, G. R., et al.. (2019). Performance Improvement of DTN Routing Protocols with Enhanced Buffer Management Policy. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 9852–9857. 1 indexed citations
16.
Latha, R.S., G. R. Sreekanth, R.C. Suganthe, & M. Kalaiselvi Geetha. (2019). Hybrid Binary Gray Wolf Optimization for finding Optimal Features in Classification Problems. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 5050–5053. 2 indexed citations
17.
Suganthe, R.C., et al.. (2018). Improved Relevance Vector Machine (IRVM) classifier for Intrusion Detection System. Soft Computing. 23(19). 9111–9119. 11 indexed citations
18.
Suganthe, R.C., et al.. (2018). Recursive Feature Elimination and Clustering Technique for Network Anomaly Detection. 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT). 1–6. 4 indexed citations
19.
Suganthe, R.C., et al.. (2015). Effective Filtering of Query Results on Updated User Behavioral Profiles in Web Mining. The Scientific World JOURNAL. 2015(1). 829126–829126. 4 indexed citations
20.
Suganthe, R.C., et al.. (2013). Performance enhancement in live migration for cloud computing environments. 361–366. 8 indexed citations

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.

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