V. Muthukumaran

1.3k total citations
63 papers, 729 citations indexed

About

V. Muthukumaran is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, V. Muthukumaran has authored 63 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 12 papers in Information Systems. Recurrent topics in V. Muthukumaran's work include Cryptography and Data Security (9 papers), Nonlinear Differential Equations Analysis (7 papers) and Artificial Intelligence in Healthcare (7 papers). V. Muthukumaran is often cited by papers focused on Cryptography and Data Security (9 papers), Nonlinear Differential Equations Analysis (7 papers) and Artificial Intelligence in Healthcare (7 papers). V. Muthukumaran collaborates with scholars based in India, United States and Jordan. V. Muthukumaran's co-authors include Senthil Murugan Nagarajan, V. Vinoth Kumar, V. Selladurai, S. Nandhakumar, M. Senthilkumar, Ganesh Gopal Deverajan, T R Mahesh, Sandeep Kumar Mathivanan, Waleed S. Alnumay and D. Ezhilmaran and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

V. Muthukumaran

59 papers receiving 695 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. Muthukumaran India 15 201 114 108 96 88 63 729
Samih M. Mostafa Egypt 18 264 1.3× 182 1.6× 149 1.4× 108 1.1× 75 0.9× 91 851
Mohamed Youssfi Morocco 13 186 0.9× 129 1.1× 90 0.8× 133 1.4× 104 1.2× 107 652
Hani Alquhayz Saudi Arabia 17 318 1.6× 196 1.7× 107 1.0× 130 1.4× 163 1.9× 55 915
Saad Almutairi Saudi Arabia 15 220 1.1× 285 2.5× 128 1.2× 85 0.9× 57 0.6× 45 752
A. Balasundaram India 15 170 0.8× 167 1.5× 106 1.0× 164 1.7× 70 0.8× 78 684
K. Vijayakumar India 18 342 1.7× 244 2.1× 194 1.8× 106 1.1× 106 1.2× 73 980
Akey Sungheetha India 12 169 0.8× 92 0.8× 76 0.7× 214 2.2× 111 1.3× 84 683
Ali Alshehri Saudi Arabia 12 171 0.9× 164 1.4× 160 1.5× 82 0.9× 50 0.6× 44 599
Md. Sakib Bin Alam Bangladesh 8 194 1.0× 113 1.0× 65 0.6× 79 0.8× 44 0.5× 20 731
Hanaa Salem Egypt 15 344 1.7× 86 0.8× 75 0.7× 95 1.0× 107 1.2× 40 872

Countries citing papers authored by V. Muthukumaran

Since Specialization
Citations

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

Fields of papers citing papers by V. Muthukumaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of V. Muthukumaran. A scholar is included among the top collaborators of V. Muthukumaran 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. Muthukumaran. V. Muthukumaran 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.
Ahmed, Syed Thouheed, et al.. (2024). Augmented Intelligence Based COVID-19 Diagnostics and Deep Feature Categorization Based on Federated Learning. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(5). 3308–3315. 3 indexed citations
2.
Muthukumaran, V., et al.. (2024). Optimization of fused deposition modeling parameters to fabricate morphogenesis light weight structure with high tensile and compression strength. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 239(6). 3383–3392. 3 indexed citations
3.
Udhayakumar, R., et al.. (2024). Existence of Hilfer fractional neutral stochastic differential systems with infinite delay. SHILAP Revista de lepidopterología. 113(1). 174–193. 3 indexed citations
4.
Udhayakumar, R., et al.. (2024). A Study on Approximate Controllability of Ψ-Caputo Fractional Differential Equations with Impulsive Effects. Contemporary Mathematics. 175–198. 4 indexed citations
5.
Sangeetha, S, Sandeep Kumar Mathivanan, V. Muthukumaran, Jaehyuk Cho, & V E Sathishkumar. (2024). An Empirical Analysis of Transformer-Based and Convolutional Neural Network Approaches for Early Detection and Diagnosis of Cancer Using Multimodal Imaging and Genomic Data. IEEE Access. 13. 6120–6145. 5 indexed citations
6.
Muthukumaran, V., et al.. (2023). High ECG diagnosis rate using novel machine learning techniques with Distributed Arithmetic (DA) based gated recurrent units. Microprocessors and Microsystems. 98. 104796–104796. 11 indexed citations
7.
Srinivasan, Saravanan, et al.. (2023). Grade Classification of Tumors from Brain Magnetic Resonance Images Using a Deep Learning Technique. Diagnostics. 13(6). 1153–1153. 25 indexed citations
8.
Udhayakumar, R., et al.. (2023). Approximate Controllability Outcomes of Impulsive Second-Order Stochastic Neutral Differential Evolution Systems. Contemporary Mathematics. 782–816. 3 indexed citations
9.
Muthukumaran, V., et al.. (2023). Multi-Criteria Decision-Making for Energy Management in Smart Homes Using Hybridized Neuro-Fuzzy Approach. Distributed Generation & Alternative Energy Journal. 1 indexed citations
10.
Mathivanan, Sandeep Kumar, et al.. (2023). Multimodal hybrid convolutional neural network based brain tumor grade classification. BMC Bioinformatics. 24(1). 382–382. 13 indexed citations
11.
Sangeetha, S, et al.. (2023). A Deep Learning Approach to Detect Microsleep Using Various Forms of EEG Signal. Mathematical Problems in Engineering. 2023(1). 3 indexed citations
12.
Sathishkumar, V E, et al.. (2023). Prediction and classification of skin melanoma cancer using active hybrid machine learning technique. Journal of Physics Conference Series. 2580(1). 12039–12039.
13.
Udhayakumar, R., et al.. (2023). A new conversation on the existence of Hilfer fractional stochastic Volterra–Fredholm integro-differential inclusions via almost sectorial operators. Nonlinear Analysis Modelling and Control. 28. 1–20. 7 indexed citations
14.
Muthukumaran, V., et al.. (2023). Study on the controllability of Hilfer fractional differential system with and without impulsive conditions via infinite delay. Nonlinear Analysis Modelling and Control. 29(1). 166–188. 2 indexed citations
15.
Mahesh, T R, et al.. (2022). An Efficient Ensemble Method Using K-Fold Cross Validation for the Early Detection of Benign and Malignant Breast Cancer. International Journal of Integrated Engineering. 14(7). 9 indexed citations
16.
Mahesh, T R, et al.. (2022). Performance Analysis of XGBoost Ensemble Methods for Survivability with the Classification of Breast Cancer. Journal of Sensors. 2022. 1–8. 50 indexed citations
17.
Saravanakumar, R, et al.. (2022). Data Analytics on Eco-Conditional Factors Affecting Speech Recognition Rate of Modern Interaction Systems. Journal of Mobile Multimedia. 2 indexed citations
18.
Muthukumaran, V., et al.. (2021). Improving Network Security Based on Trust-Aware Routing Protocols Using Long Short-Term Memory-Queuing Segment-Routing Algorithms. International Journal of Information Technology Project Management. 12(4). 47–60. 15 indexed citations
19.
Muthukumaran, V. & D. Ezhilmaran. (2020). A Cloud-Assisted Proxy Re-Encryption Scheme for Efficient Data Sharing Across IoT Systems. International Journal of Information Technology and Web Engineering. 15(4). 18–36. 13 indexed citations
20.
Ezhilmaran, D. & V. Muthukumaran. (2016). KEY EXCHANGE PROTOCOL USING DECOMPOSITION PROBLEM IN NEAR-RING. Gazi university journal of science. 29(1). 123–127. 10 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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