Rakesh Kumar Mahendran

1.1k total citations · 1 hit paper
38 papers, 605 citations indexed

About

Rakesh Kumar Mahendran is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Rakesh Kumar Mahendran has authored 38 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 8 papers in Signal Processing. Recurrent topics in Rakesh Kumar Mahendran's work include Blind Source Separation Techniques (6 papers), EEG and Brain-Computer Interfaces (6 papers) and IoT and Edge/Fog Computing (5 papers). Rakesh Kumar Mahendran is often cited by papers focused on Blind Source Separation Techniques (6 papers), EEG and Brain-Computer Interfaces (6 papers) and IoT and Edge/Fog Computing (5 papers). Rakesh Kumar Mahendran collaborates with scholars based in India, Saudi Arabia and Thailand. Rakesh Kumar Mahendran's co-authors include V. Parthasarathy, Muhammad Shafiq, Jin‐Ghoo Choi, Arfat Ahmad Khan, R. Santhosh, Salman Naseer, P Kumar, Muhammad Faheem, Navod Neranjan Thilakarathne and Seifedine Kadry and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Rakesh Kumar Mahendran

29 papers receiving 581 citations

Hit Papers

Dual-3DM3AD: Mixed Transformer Based Semantic Segmentatio... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rakesh Kumar Mahendran India 13 119 108 92 89 87 38 605
Zohaib Mushtaq Pakistan 19 75 0.6× 232 2.1× 101 1.1× 89 1.0× 44 0.5× 61 980
Hari Kishan Kondaveeti India 11 61 0.5× 70 0.6× 72 0.8× 34 0.4× 109 1.3× 53 567
Abdul Bais Canada 16 69 0.6× 104 1.0× 253 2.8× 38 0.4× 250 2.9× 84 883
M. Z. Rashad Egypt 14 91 0.8× 200 1.9× 108 1.2× 112 1.3× 32 0.4× 56 548
Tiago Carneiro Brazil 9 127 1.1× 199 1.8× 124 1.3× 78 0.9× 35 0.4× 17 721
Khawar Khurshid Pakistan 11 90 0.8× 86 0.8× 191 2.1× 56 0.6× 21 0.2× 30 553
Mohammed Saleh Ali Muthanna Russia 17 335 2.8× 121 1.1× 84 0.9× 70 0.8× 154 1.8× 64 796
Kamran Siddique Malaysia 17 198 1.7× 212 2.0× 136 1.5× 168 1.9× 18 0.2× 42 740
Mohit Agarwal India 16 88 0.7× 159 1.5× 163 1.8× 86 1.0× 722 8.3× 55 1.4k

Countries citing papers authored by Rakesh Kumar Mahendran

Since Specialization
Citations

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

Fields of papers citing papers by Rakesh Kumar Mahendran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rakesh Kumar Mahendran. 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 Rakesh Kumar Mahendran. The network helps show where Rakesh Kumar Mahendran may publish in the future.

Co-authorship network of co-authors of Rakesh Kumar Mahendran

This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Kumar Mahendran. A scholar is included among the top collaborators of Rakesh Kumar Mahendran 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 Rakesh Kumar Mahendran. Rakesh Kumar Mahendran 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.
Haq, Mohd Anul, et al.. (2025). Tri-STANet: An advanced framework integrating dual axis transformer and morphological encoding for enhanced AS detection. Expert Systems with Applications. 297. 129372–129372.
2.
Khan, Arfat Ahmad, Rakesh Kumar Mahendran, Fasee Ullah, et al.. (2025). AI-Driven Dynamic Allocation and Management Optimization for EV Charging Stations. IEEE Transactions on Intelligent Transportation Systems. 27(3). 3702–3714.
6.
Khan, Arfat Ahmad, Rakesh Kumar Mahendran, Farman Ali, et al.. (2025). Fed-IoMT-Block: A Privacy-Preserving Framework for Secure Federated Learning in Consumer-Centric Internet of Medical Things. IEEE Transactions on Consumer Electronics. 71(3). 8453–8464.
7.
Pun, Chi‐Man, et al.. (2025). Privacy-Aware Secure Data Auditing for Cloud-Based Intelligence of Things Environment. IEEE Internet of Things Journal. 12(11). 15288–15303. 4 indexed citations
8.
Kumar, P, Rakesh Kumar Mahendran, Arfat Ahmad Khan, & Seifedine Kadry. (2025). Tri‐M2MT: Multi‐modalities based effective acute bilirubin encephalopathy diagnosis through multi‐transformer using neonatal Magnetic Resonance Imaging. CAAI Transactions on Intelligence Technology. 10(2). 434–449. 10 indexed citations
10.
Haq, Mohd Anul, et al.. (2024). XAI-RACapsNet: Relevance aware capsule network-based breast cancer detection using mammography images via explainability O-net ROI segmentation. Expert Systems with Applications. 261. 125461–125461. 30 indexed citations
11.
Mahendran, Rakesh Kumar, et al.. (2024). A Novel Constructive Unceasement Conditional Random Field and Dynamic Bayesian Network Model for Attack Prediction on Internet of Vehicle. IEEE Access. 12. 24644–24658. 7 indexed citations
12.
Parthasarathy, V., et al.. (2023). Optimization-Driven Machine Learning Approach for the Prediction of Hydrochar Properties from Municipal Solid Waste. Sustainability. 15(7). 6088–6088. 7 indexed citations
13.
Khan, Shakir, et al.. (2023). Brain–Computer Interface: The HOL–SSA Decomposition and Two-Phase Classification on the HGD EEG Data. Diagnostics. 13(17). 2852–2852. 4 indexed citations
14.
Mahendran, Rakesh Kumar, et al.. (2022). Two‐phase classification: ANN and A‐SVM classifiers on motor imagery BCI. Asian Journal of Control. 25(5). 3318–3329. 18 indexed citations
15.
Thilakarathne, Navod Neranjan, V. Parthasarathy, Fawaz Alassery, et al.. (2022). Federated Learning for Privacy-Preserved Medical Internet of Things. Intelligent Automation & Soft Computing. 33(1). 157–172. 28 indexed citations
16.
Elhoseny, Mohamed, Navod Neranjan Thilakarathne, Mohammed Alghamdi, et al.. (2021). Security and Privacy Issues in Medical Internet of Things: Overview, Countermeasures, Challenges and Future Directions. Sustainability. 13(21). 11645–11645. 61 indexed citations
17.
Thilakarathne, Navod Neranjan, et al.. (2021). Cyber Attacks Evaluation Targeting Internet Facing IoT: An Experimental Evaluation. 18–26. 3 indexed citations
18.
Parthasarathy, V., et al.. (2021). An efficient epileptic seizure detection based on tunable Q-wavelet transform and DCVAE-stacked Bi-LSTM model using electroencephalogram. The European Physical Journal Special Topics. 231(11-12). 2425–2437. 12 indexed citations
19.
Mahendran, Rakesh Kumar, et al.. (2017). AN ADAPTIVE DIRECTIONAL OVER – CURRENT PROTECTION AND EARTH FAULT PROTECTION OF DISTRIBUTED SYSTEMS. International Journal of Latest Trends in Engineering and Technology. 8(2). 1 indexed citations
20.
Mahendran, Rakesh Kumar, M. Chandrasekaran, & Selvakumar Gurunathan. (2006). A Study on Evolving Optimal Cropping Patterns in Groundwater Over-exploited Region of Perambalur District of Tamil Nadu. Agricultural Economics Research Review. 19(1). 95–108. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026