T. Karthikeyan

575 total citations
35 papers, 289 citations indexed

About

T. Karthikeyan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, T. Karthikeyan has authored 35 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in T. Karthikeyan's work include Image and Signal Denoising Methods (4 papers), Advanced Data Compression Techniques (3 papers) and Face and Expression Recognition (3 papers). T. Karthikeyan is often cited by papers focused on Image and Signal Denoising Methods (4 papers), Advanced Data Compression Techniques (3 papers) and Face and Expression Recognition (3 papers). T. Karthikeyan collaborates with scholars based in India and Oman. T. Karthikeyan's co-authors include N. Yuvaraj, K. Praghash, R. Arshath Raja, A. Sampath Dakshina Murthy, P. Manimegalai, Ch. Usha Kumari, R. Krishnamoorthy, Rama Balakrishnan, S. N. Omkar and J. Senthilnath and has published in prestigious journals such as SHILAP Revista de lepidopterología, Soft Computing and Wireless Personal Communications.

In The Last Decade

T. Karthikeyan

32 papers receiving 271 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. Karthikeyan India 10 86 84 77 61 54 35 289
Wenlong Chen China 9 55 0.6× 137 1.6× 71 0.9× 22 0.4× 60 1.1× 58 274
R. Arshath Raja India 10 65 0.8× 50 0.6× 75 1.0× 32 0.5× 50 0.9× 20 256
Heng Yu China 12 61 0.7× 86 1.0× 106 1.4× 31 0.5× 96 1.8× 49 401
Chenglong Wang China 10 59 0.7× 35 0.4× 60 0.8× 31 0.5× 70 1.3× 34 283
K. Raja India 11 145 1.7× 32 0.4× 62 0.8× 71 1.2× 57 1.1× 65 451
Lavish Kansal India 13 46 0.5× 120 1.4× 248 3.2× 36 0.6× 27 0.5× 77 416
Sajjad Hussain Shah Pakistan 7 34 0.4× 184 2.2× 116 1.5× 59 1.0× 29 0.5× 17 345
Muhammad Tayyab Pakistan 9 40 0.5× 37 0.4× 72 0.9× 23 0.4× 37 0.7× 25 196
M. Ayyadurai India 7 31 0.4× 64 0.8× 85 1.1× 25 0.4× 36 0.7× 30 239

Countries citing papers authored by T. Karthikeyan

Since Specialization
Citations

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

Fields of papers citing papers by T. Karthikeyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of T. Karthikeyan. A scholar is included among the top collaborators of T. Karthikeyan 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. Karthikeyan. T. Karthikeyan 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.
Karthikeyan, T., et al.. (2023). HYBRID NEURO-FUZZY-GENETIC ALGORITHMS FOR OPTIMAL CONTROL OF AUTONOMOUS SYSTEMS. ICTACT Journal on Soft Computing. 13(4). 3015–3020. 1 indexed citations
2.
Ramkumar, M., et al.. (2022). GENE BICLUSTERING ON LARGE DATASETS USING FUZZY C-MEANS CLUSTERING. SHILAP Revista de lepidopterología. 12(2). 2578–2582. 1 indexed citations
3.
Yuvaraj, N., K. Praghash, & T. Karthikeyan. (2021). Data Privacy Preservation and Trade-off Balance Between Privacy and Utility Using Deep Adaptive Clustering and Elliptic Curve Digital Signature Algorithm. Wireless Personal Communications. 124(1). 655–670. 22 indexed citations
4.
Yuvaraj, N., K. Praghash, R. Arshath Raja, & T. Karthikeyan. (2021). An Investigation of Garbage Disposal Electric Vehicles (GDEVs) Integrated with Deep Neural Networking (DNN) and Intelligent Transportation System (ITS) in Smart City Management System (SCMS). Wireless Personal Communications. 123(2). 1733–1752. 42 indexed citations
5.
Ramkumar, M., et al.. (2021). IRIS DETECTION FOR BIOMETRIC PATTERN IDENTIFICATION USING DEEP LEARNING. SHILAP Revista de lepidopterología. 12(2). 2610–2614. 1 indexed citations
6.
Murthy, A. Sampath Dakshina, et al.. (2020). Novel deep neural network for individual re recognizing physically disabled individuals. Materials Today Proceedings. 33. 4323–4328. 13 indexed citations
7.
Yuvaraj, N., T. Karthikeyan, & K. Praghash. (2020). An Improved Task Allocation Scheme in Serverless Computing Using Gray Wolf Optimization (GWO) Based Reinforcement Learning (RIL) Approach. Wireless Personal Communications. 117(3). 2403–2421. 50 indexed citations
8.
Karthikeyan, T.. (2019). Effects of Copper oxide Nanoparticle addition in Diesel and Biodiesel Blends on the Performance and Emission Characteristics of a Diesel Engine. International Journal for Research in Applied Science and Engineering Technology. 7(4). 156–161. 8 indexed citations
9.
Karthikeyan, T., et al.. (2018). Fuzzy enhanced secure multicast routing for improving authentication in MANET. Cluster Computing. 22(S4). 9615–9623. 11 indexed citations
10.
Karthikeyan, T., et al.. (2017). A study on discrete wavelet transform compression algorithm for medical images. Biomedical Research-tokyo. 28(4). 1574–1580. 4 indexed citations
11.
Karthikeyan, T., et al.. (2016). A Hybrid Medical Image Compression Techniques for Lung Cancer. Indian Journal of Science and Technology. 9(39). 5 indexed citations
12.
Karthikeyan, T. & Rama Balakrishnan. (2014). Swarm Intelligence Approach Based on Adaptive ELM Classifier with ICGA Selection for Microarray Gene Expression and Cancer Classification. Research Journal of Applied Sciences Engineering and Technology. 7(21). 4445–4454. 1 indexed citations
13.
Karthikeyan, T., et al.. (2014). An Adaptive Bilateral Filter for Noise Removal and Novel Hybrid Fuzzy Cognitive Map-FNN Edge Detection Method for Images. International Review on Computers and Software (IRECOS). 9(9). 1621–1621. 1 indexed citations
14.
Karthikeyan, T., et al.. (2014). Review on Synthesis and Characterization of Gallium Phosphide. Procedia Materials Science. 6. 1650–1657. 21 indexed citations
15.
Sundaram, Jaya, et al.. (2014). A Survey of Fuzzy Based ARM Clustering on Crime Pattern Discovery. 4 indexed citations
16.
Karthikeyan, T., Balakrishnan Ramasamy, & U. K. Arun Kumar. (2012). Priority based pheromone algorithm for image cluster. 4150. 230–239.
17.
Karthikeyan, T., et al.. (2012). Minimum Spanning Tree-based Clustering Applied to Protein Sequences in Early Cancer Diagnosis. 1 indexed citations
18.
19.
Karthikeyan, T. & R. Krishnamoorthy. (2012). AUTOREGRESSIVE MODEL BASED ON BAYESIAN APPROACH FOR TEXTURE REPRESENTATION. SHILAP Revista de lepidopterología. 3(1). 485–491. 2 indexed citations
20.
Karthikeyan, T., et al.. (2011). Outlier Removal Clustering through Minimum Spanning Tree. 31(10). 1–7. 9 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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