V. Vijayakumar

6.5k total citations
172 papers, 3.9k citations indexed

About

V. Vijayakumar is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, V. Vijayakumar has authored 172 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Information Systems, 54 papers in Computer Networks and Communications and 35 papers in Artificial Intelligence. Recurrent topics in V. Vijayakumar's work include IoT and Edge/Fog Computing (20 papers), Recommender Systems and Techniques (16 papers) and Caching and Content Delivery (14 papers). V. Vijayakumar is often cited by papers focused on IoT and Edge/Fog Computing (20 papers), Recommender Systems and Techniques (16 papers) and Caching and Content Delivery (14 papers). V. Vijayakumar collaborates with scholars based in India, Australia and China. V. Vijayakumar's co-authors include V. Subramaniyaswamy, Logesh Ravi, M. Poongodi, V. Indragandhi, Ketan Kotecha, Malathi Devarajan, Naveen Chilamkurti, D. Rekha, Mounir Hamdi and V. Priya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Access.

In The Last Decade

V. Vijayakumar

160 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Vijayakumar India 35 1.1k 1.0k 1000 721 682 172 3.9k
V. Subramaniyaswamy India 35 1.2k 1.1× 847 0.8× 1.0k 1.0× 641 0.9× 913 1.3× 179 4.1k
Rubén González Crespo Spain 34 881 0.8× 1.0k 1.0× 930 0.9× 425 0.6× 563 0.8× 276 4.1k
Junhao Wen China 29 1.3k 1.2× 906 0.9× 1.1k 1.1× 437 0.6× 583 0.9× 184 3.4k
Sagheer Abbas Pakistan 40 1.0k 0.9× 991 1.0× 1.4k 1.4× 556 0.8× 713 1.0× 150 4.6k
Mukesh Prasad Australia 31 679 0.6× 1.1k 1.1× 1.3k 1.3× 897 1.2× 1.1k 1.6× 201 5.2k
Ashutosh Sharma India 35 894 0.8× 928 0.9× 763 0.8× 585 0.8× 404 0.6× 134 3.5k
Awais Ahmad South Korea 36 989 0.9× 1.8k 1.8× 1.1k 1.1× 880 1.2× 866 1.3× 188 4.8k
Osamah Ibrahim Khalaf Iraq 38 941 0.9× 1.7k 1.7× 873 0.9× 974 1.4× 398 0.6× 151 4.4k
Celestine Iwendi United Kingdom 36 961 0.9× 1.4k 1.4× 1.4k 1.4× 628 0.9× 449 0.7× 126 4.2k
Qun Jin Japan 32 1.2k 1.1× 1.6k 1.6× 2.0k 2.0× 633 0.9× 999 1.5× 314 5.2k

Countries citing papers authored by V. Vijayakumar

Since Specialization
Citations

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

Fields of papers citing papers by V. Vijayakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Vijayakumar

This figure shows the co-authorship network connecting the top 25 collaborators of V. Vijayakumar. A scholar is included among the top collaborators of V. Vijayakumar 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 V. Vijayakumar. V. Vijayakumar 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.
Vijayakumar, V., et al.. (2025). Deep Neural Networks for Skin Cancer Classification: Analysis of Melanoma Cancer Data. Journal of Advances in Information Technology. 16(1). 1–11.
2.
Zhang, Tao, et al.. (2025). Impact of Climate Change on Groundwater Level Changes: An Evaluation Based on Deep Neural Networks. Applied Computational Intelligence and Soft Computing. 2025(1).
3.
Azzi, Angelo, et al.. (2025). Comparative analysis of NLP-driven MCQ generators from text sources. Computers and Education Artificial Intelligence. 9. 100440–100440.
4.
Kaliraj, K., et al.. (2024). Relative controllability for ψ−Caputo fractional delay control system. Results in Control and Optimization. 16. 100475–100475. 5 indexed citations
5.
Vijayakumar, V., et al.. (2024). Evaluation of risk level assessment strategies in life Insurance: A review of the literature. Journal of Autonomous Intelligence. 7(5). 1147–1147. 1 indexed citations
6.
Sundarabalan, C.K., et al.. (2023). Quasi newton least mean fourth control for multifunctional grid tied solar photovoltaic system. Sustainable Energy Technologies and Assessments. 57. 103272–103272. 9 indexed citations
7.
8.
Vijayakumar, V., et al.. (2023). A Novel Artificial Intelligence Techniques for Women Breast Cancer Classification Using Ultrasound Images. SHILAP Revista de lepidopterología. 50(12). 7 indexed citations
9.
Vijayakumar, V., et al.. (2023). Ensemble Machine Learning Techniques for Accurate and Efficient Detection of Botnet Attacks in Connected Computers. SHILAP Revista de lepidopterología. 4(1). 650–664. 23 indexed citations
10.
Shastry, K. Aditya, et al.. (2022). Deep Learning Techniques for the Effective Prediction of Alzheimer’s Disease: A Comprehensive Review. Healthcare. 10(10). 1842–1842. 12 indexed citations
11.
Kumar, V. D. Ambeth, et al.. (2022). AI Empowered Big Data Analytics for Industrial Applications. JUCS - Journal of Universal Computer Science. 28(9). 877–881. 5 indexed citations
12.
Chaganti, Rajasekhar, et al.. (2022). Blockchain-Based Cloud-Enabled Security Monitoring Using Internet of Things in Smart Agriculture. Future Internet. 14(9). 250–250. 69 indexed citations
13.
Vijayakumar, V., et al.. (2022). Methods of Commercialization and Usage of Sosnovsky hogweed Processing. Recycling. 7(5). 77–77. 6 indexed citations
14.
Vijayakumar, V., et al.. (2020). A cognitive model for adopting ITIL framework to improve IT services in Indian IT industries. Journal of Intelligent & Fuzzy Systems. 39(6). 8091–8102. 2 indexed citations
15.
Vijayakumar, V., et al.. (2020). Isolation Forest and Local Outlier Factor for Credit Card Fraud Detection System. International Journal of Engineering and Advanced Technology. 9(4). 261–265. 12 indexed citations
16.
Poongodi, M., et al.. (2019). Prediction of the price of Ethereum blockchain cryptocurrency in an industrial finance system. Computers & Electrical Engineering. 81. 106527–106527. 172 indexed citations
17.
Vijayakumar, Pandi, et al.. (2017). An Efficient Authentication Scheme for Mobile Cloud Computing Services.. Journal of information science and engineering. 33. 727–741. 2 indexed citations
18.
Rekha, D., et al.. (2017). Genetic Algorithm Based Demand Side Management for Smart Grid. Wireless Personal Communications. 93(2). 481–502. 133 indexed citations
19.
Pandiaraja, P., et al.. (2017). Computation Efficient Attribute Based Broadcast Group Key Management for Secure Document Access in Public Cloud. Journal of information science and engineering. 33(3). 695–712. 13 indexed citations
20.
Vijayakumar, V., Reshma Banu, & Jemal Abawajy. (2010). Novel mechanism for evaluating feedback in the grid environment on resource allocation. Deakin Research Online (Deakin University). 11–17. 2 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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