T. Rajendran

534 total citations
22 papers, 324 citations indexed

About

T. Rajendran is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, T. Rajendran has authored 22 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in T. Rajendran's work include EEG and Brain-Computer Interfaces (5 papers), Brain Tumor Detection and Classification (3 papers) and Network Security and Intrusion Detection (3 papers). T. Rajendran is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Brain Tumor Detection and Classification (3 papers) and Network Security and Intrusion Detection (3 papers). T. Rajendran collaborates with scholars based in India, Ethiopia and United States. T. Rajendran's co-authors include T. Anitha, S. Sekar, G. Charlyn Pushpa Latha, G. Emayavaramban, K. Maheswari, S. Ramkumar, A. Priya, S. Manimurugan, P. Sriramakrishnan and T. Ramesh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Ambient Intelligence and Humanized Computing and Computational Intelligence and Neuroscience.

In The Last Decade

T. Rajendran

20 papers receiving 288 citations

Peers

T. Rajendran

CVPR

RNMI

NEURO

CNC

Yousry AbdulAzeem Egypt

Ahmed Atwan Egypt

Hussam Tarazi United States

Priyadarsan Parida India

Mansoor Fateh Iran

Qingling Cai China

Edmar Rezende Brazil

Mighty Abra Ayidzoe Ghana

J. Anitha India

Gökhan Altan Türkiye

Yousry AbdulAzeem Egypt

T. Rajendran

146 ×1.6

121 ×1.4

CVPR

96 ×1.3

RNMI

113 ×1.7

NEURO

45 ×1.0

CNC

Citations per year, relative to T. Rajendran T. Rajendran (= 1×) peers Yousry AbdulAzeem

Countries citing papers authored by T. Rajendran

Since Specialization

Citations

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

Fields of papers citing papers by T. Rajendran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of T. Rajendran. A scholar is included among the top collaborators of T. Rajendran 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. Rajendran. T. Rajendran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rao, S. Koteswara & T. Rajendran. (2025). Higher accuracy of drought prediction using logistic regression algorithm over AdaBoost algorithm. AIP conference proceedings. 3267. 20095–20095.

Rajendran, T., et al.. (2023). A Study on Blockchain Technologies for Security and Privacy Applications in a Network. International Journal of Electronics and Communication Engineering. 10(6). 69–91. 5 indexed citations

Rajendran, T., et al.. (2023). A Deep Learning Based Methodological Analysis for Breast Cancer Classification. International Journal of Electronics and Communication Engineering. 10(6). 52–68. 1 indexed citations

Rajendran, T., et al.. (2023). Detection of Covid-19 early symptoms with higher accuracy using novel chest X-rays images using VGG-16 network comparing residual neural network. AIP conference proceedings. 2963. 20003–20003.

Rajendran, T., et al.. (2023). Improved Intrusion Detection System That Uses Machine Learning Techniques to Proactively Defend DDoS Attack. SHILAP Revista de lepidopterología. 56. 5011–5011. 3 indexed citations

Rajendran, T., et al.. (2023). Paddy Plant Leaf Disease Classification based on Artificial Intelligence. 1002–1009. 3 indexed citations

Maheswari, K., et al.. (2022). Investigations on Brain Tumor Classification Using Hybrid Machine Learning Algorithms. Journal of Healthcare Engineering. 2022. 1–9. 60 indexed citations

Christo, Mary Subaja, et al.. (2022). Artificial Intelligence‐Based Security Protocols to Resist Attacks in Internet of Things. Wireless Communications and Mobile Computing. 2022(1). 20 indexed citations

Sekar, S., et al.. (2022). A Torn ACL Mapping in Knee MRI Images Using Deep Convolution Neural Network with Inception-v3. Journal of Healthcare Engineering. 2022. 1–9. 21 indexed citations

10.

Latha, G. Charlyn Pushpa, et al.. (2022). Segmentation and Classification of Glaucoma Using U-Net with Deep Learning Model. Journal of Healthcare Engineering. 2022. 1–10. 47 indexed citations

11.

Rajendran, T., et al.. (2022). Multiple-Input and Multiple-Output (MIMO) Channel Measurement in Heterogeneous Networks. 15. 424–427. 1 indexed citations

12.

Rajendran, T., et al.. (2022). Hyperspectral Image Classification Model Using Squeeze and Excitation Network with Deep Learning. Computational Intelligence and Neuroscience. 2022. 1–9. 40 indexed citations

13.

Rajendran, T., et al.. (2021). Epileptic Seizure: Classification Using Autoregression Features. International Journal of Current Research and Review. 13(4). 123–131. 3 indexed citations

14.

Sriramakrishnan, P., S. Sekar, G. Charlyn Pushpa Latha, et al.. (2020). Knowledge based fuzzy c-means method for rapid brain tissues segmentation of magnetic resonance imaging scans with CUDA enabled GPU machine. Journal of Ambient Intelligence and Humanized Computing. 31 indexed citations

15.

Rajendran, T., et al.. (2019). Advanced Algorithms for Medical Image Processing. The Open Biomedical Engineering Journal. 13(1). 102–102. 16 indexed citations

16.

Anitha, T., et al.. (2019). Brain-Computer Interface for Persons with Motor Disabilities - A Review. The Open Biomedical Engineering Journal. 13(1). 127–133. 27 indexed citations

17.

Emayavaramban, G., et al.. (2018). Identifying User Suitability in sEMG Based Hand Prosthesis Using Neural Networks. Current Signal Transduction Therapy. 14(2). 158–164. 18 indexed citations

18.

Rajendran, T., et al.. (2018). An Overview of EEG Seizure Detection Units and Identifying their Complexity- A Review. Current Signal Transduction Therapy. 15(3). 234–242. 8 indexed citations

19.

Karthik, S., et al.. (2010). Intrusion Detection System with packet filtering for IP Spoofing. 563–567. 6 indexed citations

20.

Rajendran, T., et al.. (2008). Hash optimization for cryptographically generated address. 365–369. 4 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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