Vijayakumar Varadarajan

1.8k total citations
65 papers, 983 citations indexed

About

Vijayakumar Varadarajan is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Vijayakumar Varadarajan has authored 65 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 18 papers in Information Systems and 13 papers in Artificial Intelligence. Recurrent topics in Vijayakumar Varadarajan's work include IoT and Edge/Fog Computing (13 papers), Blockchain Technology Applications and Security (8 papers) and Network Security and Intrusion Detection (4 papers). Vijayakumar Varadarajan is often cited by papers focused on IoT and Edge/Fog Computing (13 papers), Blockchain Technology Applications and Security (8 papers) and Network Security and Intrusion Detection (4 papers). Vijayakumar Varadarajan collaborates with scholars based in Australia, India and Malaysia. Vijayakumar Varadarajan's co-authors include Ketan Kotecha, Kun Wang, V. Subramaniyaswamy, Weifeng Lu, Siguang Chen, K. Anitha Kumari, Adel Binbusayyis, Thavavel Vaiyapuri, Logesh Ravi and Li Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Vijayakumar Varadarajan

58 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vijayakumar Varadarajan Australia 18 265 259 227 174 123 65 983
Frank Olaf Wagner France 16 225 0.8× 49 0.2× 131 0.6× 142 0.8× 411 3.3× 89 1.2k
Kenneth Bacławski United States 19 178 0.7× 280 1.1× 637 2.8× 26 0.1× 260 2.1× 70 1.4k
Deepak Kapur United States 26 204 0.8× 162 0.6× 1.1k 4.9× 31 0.2× 166 1.3× 135 2.1k
Anil Nerode United States 23 183 0.7× 55 0.2× 929 4.1× 83 0.5× 226 1.8× 115 2.1k
Chaoping Xing Singapore 27 856 3.2× 257 1.0× 2.3k 9.9× 676 3.9× 238 1.9× 169 2.8k
Mordecai J. Golin Hong Kong 15 505 1.9× 35 0.1× 230 1.0× 133 0.8× 123 1.0× 94 1.1k
Michel Gondran France 10 211 0.8× 25 0.1× 131 0.6× 113 0.6× 23 0.2× 42 826
Xue-ping Wang China 17 67 0.3× 28 0.1× 414 1.8× 97 0.6× 16 0.1× 139 1.2k
Winfried K. Grassmann Canada 21 467 1.8× 51 0.2× 92 0.4× 257 1.5× 28 0.2× 73 1.6k
Fabrice Guillemin France 21 936 3.5× 95 0.4× 124 0.5× 462 2.7× 9 0.1× 159 1.4k

Countries citing papers authored by Vijayakumar Varadarajan

Since Specialization
Citations

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

Fields of papers citing papers by Vijayakumar Varadarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijayakumar Varadarajan

This figure shows the co-authorship network connecting the top 25 collaborators of Vijayakumar Varadarajan. A scholar is included among the top collaborators of Vijayakumar Varadarajan 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 Vijayakumar Varadarajan. Vijayakumar Varadarajan 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
2.
Bagdadee, Amam Hossain, et al.. (2025). Advancing sustainability in urban transportation: A solar-powered metro rail system. PLoS ONE. 20(3). e0320016–e0320016. 1 indexed citations
3.
Camara, Fatoumata, et al.. (2024). Household Production of Cookies from Sorghum (Sorghum bicolor) with a Low Glycaemic Index in Prevention and Management of Type 2 Diabetes in Côte d’Ivoire. Current Nutrition & Food Science. 21(3). 341–349. 2 indexed citations
4.
Varadarajan, Vijayakumar, et al.. (2024). Evaluating Public Sentiments during Uttarakhand Flood: An Artificial Intelligence Techniques. Computer Systems Science and Engineering. 48(6). 1625–1639. 1 indexed citations
5.
Varadarajan, Vijayakumar, et al.. (2024). A model for sustainable city and community development based on local potential and wisdom towards Blue Villages in Indonesia. Journal of Infrastructure Policy and Development. 8(16). 9526–9526.
6.
Varadarajan, Vijayakumar, et al.. (2024). Enhancing University Innovation Through Industrial Symbiosis.
7.
Varadarajan, Vijayakumar, et al.. (2023). AVQS-NN: Adaptive Virtualization for Quantum Services for application support using Neural Networks. Applied Soft Computing. 136. 110075–110075. 2 indexed citations
9.
Singh, Sanjay Kumar, Amit Sinha, Harikesh Bahadur Singh, et al.. (2023). A novel deep learning-based technique for detecting prostate cancer in MRI images. Multimedia Tools and Applications. 83(5). 14173–14187. 17 indexed citations
10.
Varadarajan, Vijayakumar, et al.. (2022). INTELLIGENT DEEP LEARNING BASED PREDICTIVE MODEL FOR CORONARY HEART DISEASE AND CHRONIC KIDNEY DISEASE ON PEOPLE WITH DIABETES MELLITUS. Malaysian Journal of Computer Science. 88–101. 2 indexed citations
11.
Varadarajan, Vijayakumar, et al.. (2021). Machine Learning Model for Intracranial Hemorrhage Diagnosis and Classification. Electronics. 10(21). 2574–2574. 17 indexed citations
13.
Kumari, K. Anitha, et al.. (2021). Estimating Software Development Efforts Using a Random Forest-Based Stacked Ensemble Approach. Electronics. 10(10). 1195–1195. 52 indexed citations
14.
Varadarajan, Vijayakumar, et al.. (2021). Application of Sliding Window Deep Learning for Intrusion Detection in Fog Computing. 1–6. 7 indexed citations
15.
Subramaniyaswamy, V., et al.. (2020). Location‐based social network recommendations with computational intelligence‐based similarity computation and user check‐in behavior. Concurrency and Computation Practice and Experience. 33(22). 7 indexed citations
16.
Chang, Wen‐Jer, et al.. (2020). Fuzzy controller design for nonlinear singular systems with external noises subject to passivity constraints. Asian Journal of Control. 23(3). 1195–1211. 8 indexed citations
17.
Pal, Debajyoti, Tuul Triyason, Vijayakumar Varadarajan, & Xiangmin Zhang. (2019). Quality of Experience Evaluation of Smart-Wearables: A Mathematical Modelling Approach. 74–80. 5 indexed citations
18.
Varadarajan, Vijayakumar, et al.. (2019). Artificial Intelligence and Agriculture 5. 0. International Journal of Recent Technology and Engineering (IJRTE). 8(2). 1870–1877. 24 indexed citations
19.
Ravi, Logesh, et al.. (2018). Malicious Route Detection in Vehicular Ad-hoc Network using Geographic Routing with Masked Data. Recent Advances in Computer Science and Communications. 13(3). 319–325. 1 indexed citations
20.
Varadarajan, Vijayakumar. (2004). Supersymmetry for Mathematicians: An Introduction. 147 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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