S. Vimal

1.4k total citations
37 papers, 844 citations indexed

About

S. Vimal is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, S. Vimal has authored 37 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in S. Vimal's work include IoT and Edge/Fog Computing (8 papers), Network Security and Intrusion Detection (6 papers) and Energy Efficient Wireless Sensor Networks (5 papers). S. Vimal is often cited by papers focused on IoT and Edge/Fog Computing (8 papers), Network Security and Intrusion Detection (6 papers) and Energy Efficient Wireless Sensor Networks (5 papers). S. Vimal collaborates with scholars based in India, South Korea and Saudi Arabia. S. Vimal's co-authors include Manju Khari, M. Kaliappan, Nilanjan Dey, Rubén González Crespo, L. Kalaivani, P. Subbulakshmi, Harold Robinson, Gaurav Dhiman, Xiaolong Xu and Muhammad Bilal and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Neural Computing and Applications and Computer Communications.

In The Last Decade

S. Vimal

36 papers receiving 808 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Vimal India 17 492 220 219 207 79 37 844
Keyan Cao China 7 388 0.8× 198 0.9× 171 0.8× 232 1.1× 130 1.6× 17 771
T. Vengattaraman India 15 364 0.7× 311 1.4× 178 0.8× 246 1.2× 145 1.8× 55 835
Shiv Prakash India 16 507 1.0× 121 0.6× 187 0.9× 182 0.9× 57 0.7× 71 990
Zongming Fei United States 17 704 1.4× 158 0.7× 229 1.0× 134 0.6× 57 0.7× 65 967
Salim El Khediri Saudi Arabia 17 593 1.2× 204 0.9× 312 1.4× 141 0.7× 52 0.7× 66 849
Kai Peng China 11 702 1.4× 290 1.3× 191 0.9× 328 1.6× 137 1.7× 17 923
Amit Chhabra India 17 340 0.7× 411 1.9× 139 0.6× 299 1.4× 112 1.4× 74 997
Rahim Khan Pakistan 21 703 1.4× 219 1.0× 254 1.2× 454 2.2× 44 0.6× 75 1.2k
Sazia Parvin Australia 13 571 1.2× 245 1.1× 193 0.9× 172 0.8× 38 0.5× 61 807

Countries citing papers authored by S. Vimal

Since Specialization
Citations

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

Fields of papers citing papers by S. Vimal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Vimal

This figure shows the co-authorship network connecting the top 25 collaborators of S. Vimal. A scholar is included among the top collaborators of S. Vimal 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. Vimal. S. Vimal 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.
Kumar, Rakesh, Arwa N. Aledaily, Elham Kariri, et al.. (2024). Correction: A Systematic Survey on Implementation of Fuzzy Regression Models for Real Life Applications. Archives of Computational Methods in Engineering. 1 indexed citations
2.
3.
Garg, Rajesh, Surender Kumar Soni, S. Vimal, & Gaurav Dhiman. (2023). 3-D spatial correlation model for reducing the transmitting nodes in densely deployed WSN. Microprocessors and Microsystems. 103. 104963–104963. 5 indexed citations
4.
Senapati, Manas Ranjan, et al.. (2023). Self-adaptive memetic firefly algorithm and CatBoost-based security framework for IoT healthcare environment. Journal of Engineering Mathematics. 144(1). 5 indexed citations
5.
Vimal, S., et al.. (2023). Hybrid Pelican and Archimedes optimization algorithm fostered energy aware task scheduling in heterogeneous virtualized cloud computing. Transactions on Emerging Telecommunications Technologies. 34(12). 1 indexed citations
6.
Piras, Giuseppe, Wattana Viriyasitavat, Elham Kariri, et al.. (2023). Cyber Security and 5G-assisted Industrial Internet of Things using Novel Artificial Adaption based Evolutionary Algorithm. Mobile Networks and Applications. 30(1-2). 42–58. 8 indexed citations
7.
Pradeepa, S., et al.. (2022). FREEDOM: Effective Surveillance and Investigation of Water-borne Diseases from Data-centric Networking Using Machine Learning Techniques. International Journal of Artificial Intelligence Tools. 31(5). 5 indexed citations
8.
Vimal, S., et al.. (2022). Design of Clustering Enabled Intrusion Detection with Blockchain Technology. Intelligent Automation & Soft Computing. 33(3). 1907–1921. 2 indexed citations
9.
Xu, Xiaolong, et al.. (2022). Computation Offloading and Service Caching for Intelligent Transportation Systems With Digital Twin. IEEE Transactions on Intelligent Transportation Systems. 23(11). 20757–20772. 75 indexed citations
10.
Nayak, Janmenjoy, Bighnaraj Naik, Pandit Byomakesha Dash, S. Vimal, & Seifedine Kadry. (2022). Hybrid Bayesian optimization hypertuned catboost approach for malicious access and anomaly detection in IoT nomalyframework. Sustainable Computing Informatics and Systems. 36. 100805–100805. 23 indexed citations
11.
Vimal, S., et al.. (2022). Graph-Based Text Summarization and Its Application on COVID-19 Twitter Data. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 30(3). 513–540. 6 indexed citations
12.
Vimal, S., et al.. (2021). Q Learning MDP Approach to Mitigate Jamming Attack Using Stochastic Game Theory Modelling With WQLA in Cognitive Radio Networks. 9(1). 3–14. 2 indexed citations
13.
Khari, Manju, et al.. (2021). De-CAPTCHA: A novel DFS based approach to solve CAPTCHA schemes. Computers & Electrical Engineering. 97. 107593–107593. 6 indexed citations
14.
Bhola, Jyoti, et al.. (2021). Performance Evaluation of Multilayer Clustering Network Using Distributed Energy Efficient Clustering with Enhanced Threshold Protocol. Wireless Personal Communications. 126(3). 2175–2189. 70 indexed citations
15.
Janakiraman, Sengathir, et al.. (2021). A novel cluster head selection using Hybrid Artificial Bee Colony and Firefly Algorithm for network lifetime and stability in WSNs. Connection Science. 34(1). 387–408. 33 indexed citations
16.
Khari, Manju, et al.. (2021). EESSMT: An Energy Efficient Hybrid Scheme for Securing Mobile Ad hoc Networks Using IoT. Wireless Personal Communications. 126(3). 2149–2173. 29 indexed citations
17.
Krishnamurthi, Ilango, et al.. (2020). Deep learning based genome analysis and NGS-RNA LL identification with a novel hybrid model. Biosystems. 197. 104211–104211. 16 indexed citations
18.
Vijayalakshmi, V. & S. Vimal. (2019). A Novel P2P based System with Blockchain for Secured Voting Scheme. 153–156. 9 indexed citations
19.
Vimal, S., et al.. (2018). Optimization using Artificial Bee Colony based clustering approach for big data. Cluster Computing. 22(S5). 12169–12177. 53 indexed citations
20.
Vimal, S., L. Kalaivani, M. Kaliappan, et al.. (2018). Development of secured data transmission using machine learning-based discrete-time partially observed Markov model and energy optimization in cognitive radio networks. Neural Computing and Applications. 32(1). 151–161. 36 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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