T. Thamaraimanalan

512 total citations
35 papers, 251 citations indexed

About

T. Thamaraimanalan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, T. Thamaraimanalan has authored 35 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 12 papers in Computer Networks and Communications and 9 papers in Artificial Intelligence. Recurrent topics in T. Thamaraimanalan's work include IoT and Edge/Fog Computing (5 papers), Low-power high-performance VLSI design (4 papers) and Network Security and Intrusion Detection (4 papers). T. Thamaraimanalan is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), Low-power high-performance VLSI design (4 papers) and Network Security and Intrusion Detection (4 papers). T. Thamaraimanalan collaborates with scholars based in India, Saudi Arabia and Austria. T. Thamaraimanalan's co-authors include C. Venkatesan, S. Pradeepa, M. Ramkumar, S. Ramalingam, S. Dhanasekaran, Fahima Hajjej, H. Anandakumar, M. Ramkumar, Shaha Al‐Otaibi and A. Sivaramakrishnan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

T. Thamaraimanalan

22 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Thamaraimanalan India 8 111 98 43 39 24 35 251
Deepak C. Karia India 9 103 0.9× 127 1.3× 35 0.8× 16 0.4× 46 1.9× 57 260
Sanjay Kumar Suman India 10 79 0.7× 68 0.7× 57 1.3× 16 0.4× 42 1.8× 39 272
Amandeep Kaur India 11 189 1.7× 211 2.2× 58 1.3× 29 0.7× 21 0.9× 49 414
Mohammed Al‐Maitah Saudi Arabia 10 142 1.3× 58 0.6× 55 1.3× 19 0.5× 52 2.2× 28 296
Madhura Purnaprajna India 8 107 1.0× 114 1.2× 66 1.5× 14 0.4× 17 0.7× 34 290
Uday Shankar Shanthamallu United States 6 97 0.9× 67 0.7× 110 2.6× 24 0.6× 30 1.3× 16 268
Liping Du China 10 181 1.6× 159 1.6× 42 1.0× 15 0.4× 24 1.0× 41 314
Ahsan Rafiq China 8 160 1.4× 75 0.8× 58 1.3× 13 0.3× 69 2.9× 21 276
Jingyang Hu China 11 81 0.7× 82 0.8× 46 1.1× 28 0.7× 33 1.4× 23 247
D. Turgay Altılar Türkiye 13 258 2.3× 178 1.8× 39 0.9× 70 1.8× 56 2.3× 55 446

Countries citing papers authored by T. Thamaraimanalan

Since Specialization
Citations

This map shows the geographic impact of T. Thamaraimanalan'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 T. Thamaraimanalan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Thamaraimanalan more than expected).

Fields of papers citing papers by T. Thamaraimanalan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Thamaraimanalan

This figure shows the co-authorship network connecting the top 25 collaborators of T. Thamaraimanalan. A scholar is included among the top collaborators of T. Thamaraimanalan 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 T. Thamaraimanalan. T. Thamaraimanalan 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.
Thamaraimanalan, T., et al.. (2025). Enhancing anomaly detection in WBANs using hybrid deep learning and optimization algorithms. Neural Computing and Applications. 37(15). 9223–9243.
2.
Thamaraimanalan, T., et al.. (2025). Exploiting adaptive neuro-fuzzy inference systems for cognitive patterns in multimodal brain signal analysis. Scientific Reports. 15(1). 9029–9029. 2 indexed citations
3.
Venkatesan, C., et al.. (2025). Enhancing Healthcare Monitoring through Wearable Computing and Massive MIMO Technology in 5G IoT Networks. International Research Journal of Multidisciplinary Technovation. 272–286.
4.
Thamaraimanalan, T., et al.. (2024). Hybrid Artificial Neural Network-based Grasshopper Optimization Algorithm for Anomaly Detection in Wireless Body Area Networks. IETE Journal of Research. 70(4). 3738–3752. 6 indexed citations
5.
Dhanasekaran, S., et al.. (2024). A Lightweight CNN with LSTM Malware Detection Architecture for 5G and IoT Networks. IETE Journal of Research. 70(9). 7100–7111. 7 indexed citations
6.
7.
Thamaraimanalan, T., et al.. (2024). Performance Analysis of Shor's Algorithm for Integer Factorization Using Quantum and Classical Approaches. 2591–2595. 3 indexed citations
8.
Thamaraimanalan, T., et al.. (2024). Prevention of Road Accidents Using Hybrid Machine Learning Algorithm. 2137–2143. 1 indexed citations
9.
Singh, Bhupendra, et al.. (2024). Quantum Key Recovery Attack on Simplified Grain 4-Bit Cipher Using Grover's Algorithm. 2596–2601. 1 indexed citations
10.
11.
Dhanasekaran, S., S. Ramalingam, & T. Thamaraimanalan. (2023). Binomial distribution based grey wolf optimization algorithm for channel estimation in wireless communication system. International Journal of Communication Systems. 37(3).
12.
Al‐Otaibi, Shaha, et al.. (2023). Hybrid K-Medoids with Energy-Efficient Sunflower Optimization Algorithm for Wireless Sensor Networks. Sustainability. 15(7). 5759–5759. 19 indexed citations
13.
14.
Thamaraimanalan, T., et al.. (2023). A Security Sharing Scheme for Personal Data Based on Block-Chain with Fine-Grained Access Control. 1–7. 1 indexed citations
15.
Venkatesan, C., et al.. (2023). ECG Signal Feature Extraction and SVM Classifier Based Cardiac Arrhythmia Detection. 1–4. 9 indexed citations
16.
Thamaraimanalan, T., et al.. (2022). Machine Learning based Patient Mental Health Prediction using Spectral Clustering and RBFN Algorithms. 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS). 48. 1840–1843. 5 indexed citations
17.
Thamaraimanalan, T., et al.. (2021). Multi Biometric Authentication using SVM and ANN Classifiers. SSRN Electronic Journal. 7 indexed citations
18.
Thamaraimanalan, T., et al.. (2021). Experimental analysis of intelligent vehicle monitoring system using Internet of Things (IoT). SHILAP Revista de lepidopterología. 8(36). e10–e10. 32 indexed citations
19.
Dhanasekaran, S., et al.. (2020). Analysis And Design Of Fir Filter Using Modified Carry Look Ahead Multiplier. International journal of scientific and technology research. 9(3). 1336–1339. 5 indexed citations
20.
Thamaraimanalan, T., et al.. (2017). Aadhar Based Electronic Voting Machine. SSRN Electronic Journal. 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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