Ramesh Sekaran

514 total citations
24 papers, 329 citations indexed

About

Ramesh Sekaran is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ramesh Sekaran has authored 24 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Ramesh Sekaran's work include Mobile Ad Hoc Networks (6 papers), IoT and Edge/Fog Computing (6 papers) and Energy Efficient Wireless Sensor Networks (4 papers). Ramesh Sekaran is often cited by papers focused on Mobile Ad Hoc Networks (6 papers), IoT and Edge/Fog Computing (6 papers) and Energy Efficient Wireless Sensor Networks (4 papers). Ramesh Sekaran collaborates with scholars based in India, Saudi Arabia and Cyprus. Ramesh Sekaran's co-authors include R. Manikandan, Rizwan Patan, Deepak Gupta, Jafar A. Alzubi, Fadi Al‐Turjman, G S Pradeep Ghantasala, Leonardo Mostarda, Vinayakumar Ravi, Suresh Kallam and Malathy Jawahar and has published in prestigious journals such as IEEE Access, Sustainable Cities and Society and Computer Networks.

In The Last Decade

Ramesh Sekaran

21 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramesh Sekaran India 10 198 105 79 67 29 24 329
Shubhi Gupta India 12 103 0.5× 57 0.5× 52 0.7× 62 0.9× 48 1.7× 37 331
Muhammad Azeem Pakistan 9 184 0.9× 63 0.6× 124 1.6× 64 1.0× 11 0.4× 14 345
Madhuri Bhavsar India 11 253 1.3× 143 1.4× 138 1.7× 87 1.3× 17 0.6× 53 401
Pritee Parwekar India 9 126 0.6× 60 0.6× 72 0.9× 89 1.3× 17 0.6× 25 296
Muhidul Islam Khan Norway 10 279 1.4× 142 1.4× 100 1.3× 49 0.7× 9 0.3× 27 408
Ashish Rauniyar Norway 12 145 0.7× 264 2.5× 40 0.5× 105 1.6× 23 0.8× 38 489
Changlong Li China 9 190 1.0× 55 0.5× 99 1.3× 84 1.3× 39 1.3× 48 354
Raed Alsaqour Saudi Arabia 8 135 0.7× 54 0.5× 65 0.8× 88 1.3× 18 0.6× 16 242
Jalawi Sulaiman Alshudukhi Saudi Arabia 11 164 0.8× 161 1.5× 95 1.2× 81 1.2× 19 0.7× 28 334
P. M. Joe Prathap India 14 290 1.5× 104 1.0× 177 2.2× 135 2.0× 27 0.9× 60 523

Countries citing papers authored by Ramesh Sekaran

Since Specialization
Citations

This map shows the geographic impact of Ramesh Sekaran'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 Ramesh Sekaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Sekaran more than expected).

Fields of papers citing papers by Ramesh Sekaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramesh Sekaran. 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 Ramesh Sekaran. The network helps show where Ramesh Sekaran may publish in the future.

Co-authorship network of co-authors of Ramesh Sekaran

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Sekaran. A scholar is included among the top collaborators of Ramesh Sekaran 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 Ramesh Sekaran. Ramesh Sekaran 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.
Sekaran, Ramesh, et al.. (2025). Message digest and blockchain based chaotic ordered cyber secured cloud of things for smart health care. Peer-to-Peer Networking and Applications. 18(4).
2.
Sekaran, Ramesh, et al.. (2024). A Novel Approach for Mobility-aware Energy-efficient Clustering-based Routing Using EANN With GA Algorithm on WSNs. International Journal of Sensors Wireless Communications and Control. 15(2). 96–106.
3.
Sekaran, Ramesh, et al.. (2024). Optimizing Oral Cancer Diagnosis with Advanced Deep Learning Approaches. 1–5. 1 indexed citations
4.
Sekaran, Ramesh, et al.. (2024). An Optimized Transmission Mechanism for Mitigating Jamming Attacksin Multi-Hop Wireless Networks. International Journal of Sensors Wireless Communications and Control. 15(2). 117–132. 1 indexed citations
5.
Sekaran, Ramesh, et al.. (2023). Stock Price Prediction Model Using LSTM: A Comparative Study. 1–5. 2 indexed citations
6.
7.
Palanisamy, M., et al.. (2023). CNN-Based Analysis of Ultrasound Images for PCOS Diagnosis. 347–350. 1 indexed citations
8.
Ravi, Vinayakumar, et al.. (2023). Survival study on deep learning techniques for IoT enabled smart healthcare system. Health and Technology. 13(2). 215–228. 12 indexed citations
9.
Sekaran, Ramesh, et al.. (2023). CE2RV: Commissioned energy‐efficient virtualization for large‐scale heterogeneous wireless sensor networks. International Journal of Communication Systems. 36(9). 2 indexed citations
10.
Sekaran, Ramesh, et al.. (2022). Nonlinear Cosine Neighborhood Time Series‐Based Deep Learning for the Prediction and Analysis of COVID‐19 in India. Wireless Communications and Mobile Computing. 2022(1). 2 indexed citations
11.
Jawahar, Malathy, et al.. (2022). CovMnet–Deep Learning Model for classifying Coronavirus (COVID-19). Health and Technology. 12(5). 1009–1024. 12 indexed citations
12.
Sekaran, Ramesh, et al.. (2022). 3D brain slice classification and feature extraction using Deformable Hierarchical Heuristic Model. Computers in Biology and Medicine. 149. 105990–105990. 5 indexed citations
13.
Jawahar, Malathy, Vinayakumar Ravi, L. Jani Anbarasi, et al.. (2022). Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier. Multimedia Tools and Applications. 81(28). 40451–40468. 9 indexed citations
14.
Sekaran, Ramesh, et al.. (2022). Tripartite Transmitting Methodology for Intermittently Connected Mobile Network (ICMN). ACM Transactions on Internet Technology. 22(4). 1–18. 1 indexed citations
15.
Sekaran, Ramesh, et al.. (2021). Ant colony resource optimization for Industrial IoT and CPS. International Journal of Intelligent Systems. 37(12). 10513–10532. 9 indexed citations
16.
Sekaran, Ramesh, Rizwan Patan, & Fadi Al‐Turjman. (2021). A Novel Approach for Efficient Packet Transmission in Volunteered Computing MANET. ACM Transactions on Internet Technology. 21(4). 1–15. 1 indexed citations
17.
Sekaran, Ramesh, R. Manikandan, Rizwan Patan, & Fadi Al‐Turjman. (2021). Multivariate regressive deep stochastic artificial learning for energy and cost efficient 6G communication. Sustainable Computing Informatics and Systems. 30. 100522–100522. 8 indexed citations
18.
Sekaran, Ramesh, et al.. (2020). Survival Study on Blockchain Based 6G-Enabled Mobile Edge Computation for IoT Automation. IEEE Access. 8. 143453–143463. 67 indexed citations
19.
Alzubi, Jafar A., et al.. (2020). An Improved IDAF-FIT Clustering Based ASLPP-RR Routing with Secure Data Aggregation in Wireless Sensor Network. Mobile Networks and Applications. 26(3). 1059–1067. 72 indexed citations
20.
Sekaran, Ramesh, et al.. (2014). Wind energy harvesting system powered wireless sensor networks for Structural Health Monitoring. 523–526. 9 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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