K. Vengatesan

1.1k total citations
50 papers, 486 citations indexed

About

K. Vengatesan is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, K. Vengatesan has authored 50 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 13 papers in Information Systems and 11 papers in Artificial Intelligence. Recurrent topics in K. Vengatesan's work include Face and Expression Recognition (6 papers), Gene expression and cancer classification (5 papers) and IoT and Edge/Fog Computing (4 papers). K. Vengatesan is often cited by papers focused on Face and Expression Recognition (6 papers), Gene expression and cancer classification (5 papers) and IoT and Edge/Fog Computing (4 papers). K. Vengatesan collaborates with scholars based in India, Australia and Egypt. K. Vengatesan's co-authors include Abhishek Kumar, R. Sitharthan, P. William, M. Rajesh, S. Yuvaraj, Gurpreet Singh Chhabra, Shanmuga Sundar Dhanabalan, V. D. Ambeth Kumar, Siddhartha Choubey and V. Balamurugan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Informatics and Measurement.

In The Last Decade

K. Vengatesan

45 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Vengatesan India 15 145 105 96 95 78 50 486
Durgaprasad Gangodkar India 13 144 1.0× 126 1.2× 128 1.3× 52 0.5× 118 1.5× 100 582
Nanang Ismail Indonesia 11 92 0.6× 78 0.7× 96 1.0× 214 2.3× 76 1.0× 109 561
T. P. Latchoumi India 15 85 0.6× 57 0.5× 96 1.0× 118 1.2× 127 1.6× 29 548
M. Popa Romania 12 98 0.7× 52 0.5× 69 0.7× 156 1.6× 127 1.6× 94 547
Kantilal Pitambar Rane India 11 73 0.5× 66 0.6× 106 1.1× 58 0.6× 64 0.8× 43 459
Joy Iong‐Zong Chen Taiwan 10 77 0.5× 88 0.8× 167 1.7× 140 1.5× 150 1.9× 70 485
Rajeev Sobti India 9 90 0.6× 95 0.9× 92 1.0× 57 0.6× 56 0.7× 53 402
Rosa Andrie Asmara Indonesia 13 174 1.2× 125 1.2× 165 1.7× 56 0.6× 26 0.3× 114 559
Luca Roffia Italy 14 141 1.0× 175 1.7× 96 1.0× 88 0.9× 241 3.1× 37 455
Indrabayu Indrabayu Indonesia 12 63 0.4× 101 1.0× 69 0.7× 67 0.7× 38 0.5× 98 402

Countries citing papers authored by K. Vengatesan

Since Specialization
Citations

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

Fields of papers citing papers by K. Vengatesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Vengatesan

This figure shows the co-authorship network connecting the top 25 collaborators of K. Vengatesan. A scholar is included among the top collaborators of K. Vengatesan 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 K. Vengatesan. K. Vengatesan 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.
Sitharthan, R., et al.. (2024). Federated Learning for Personalized Recommendation in Securing Power Traces in Smart Grid Systems. IEEE Transactions on Consumer Electronics. 70(1). 88–95. 14 indexed citations
2.
Arun, S. L., et al.. (2024). Smart manufacturing supply chain process strategy using intelligent computation techniques. International Journal on Interactive Design and Manufacturing (IJIDeM). 19(2). 681–694. 3 indexed citations
3.
4.
Vengatesan, K., et al.. (2024). Analysis of Changes and Influences Using Remote Sensing and Geodetectors on How Human Activity Affects Ulansuhai Lake Basin Ecology. Remote Sensing in Earth Systems Sciences. 7(2). 55–65. 5 indexed citations
5.
Rajesh, M., K. Vengatesan, Moustafa H. Aly, et al.. (2023). Electrical and optical properties of sol–gel-deposited NiO films and corresponding response to annealing temperature. Optical and Quantum Electronics. 55(13). 14 indexed citations
6.
Vengatesan, K., et al.. (2023). Spectrum Management in 6G HetNet Based on Smart Contracts and Harmonized Software-Defined Networking-Enabled Approach. International Journal of Computer Networks And Applications. 10(2). 231–231. 3 indexed citations
7.
Rajesh, M., S. Vimal, S. Yuvaraj, et al.. (2023). A novel autonomous irrigation system for smart agriculture using AI and 6G enabled IoT network. Microprocessors and Microsystems. 101. 104905–104905. 43 indexed citations
8.
Singh, Bharat, et al.. (2023). Economic analysis based on saline water treatment using renewable energy system and microgrid architecture. SHILAP Revista de lepidopterología. 13(2). 269–281. 3 indexed citations
9.
10.
Sitharthan, R., et al.. (2022). Optimization of Performance and Scalability Measures across Cloud Based IoT Applications with Efficient Scheduling Approach. International Journal of Wireless Information Networks. 29(4). 442–453. 14 indexed citations
11.
William, P., et al.. (2022). Assessment of Hybrid Cryptographic Algorithm for Secure Sharing of Textual and Pictorial Content. 2022 International Conference on Electronics and Renewable Systems (ICEARS). 918–922. 31 indexed citations
12.
Velliangiri, S., R. Sitharthan, K. Vengatesan, et al.. (2021). An Efficient Lightweight Privacy-Preserving Mechanism for Industry 4.0 Based on Elliptic Curve Cryptography. IEEE Transactions on Industrial Informatics. 18(9). 6494–6502. 26 indexed citations
13.
Patil, Seema, et al.. (2021). Review on side-effects of COVID-19 in the growth of neurologic diseases. 32(2). 1595–1598. 1 indexed citations
14.
Kumar, R., Fadi Al‐Turjman, Abhishek Kumar, et al.. (2021). Genomic sequence analysis of lung infections using artificial intelligence technique. Interdisciplinary Sciences Computational Life Sciences. 13(2). 192–200. 3 indexed citations
15.
William, P., et al.. (2021). Task Allocation in Distributed Agile Software Development using Machine Learning Approach. 168–172. 35 indexed citations
16.
Kumar, Abhishek, et al.. (2020). M-LEARNING FOR PROMOTING ADVANCEMENTS IN AGRICULTURE: AN INNOVATIVE EDUCATIONAL MODEL FOR ETHIOPIAN FARMERS. Advances in Mathematics Scientific Journal. 9(7). 5057–5064. 2 indexed citations
17.
Kumar, V. D. Ambeth, S. Malathi, K. Ramalakshmi, et al.. (2019). Exploration of an innovative geometric parameter based on performance enhancement for foot print recognition. Journal of Intelligent & Fuzzy Systems. 38(2). 2181–2196. 9 indexed citations
18.
Ramkumar, M., et al.. (2019). Cloud Data Center Based Dynamic Optimizing Replica Migration. Journal of Computational and Theoretical Nanoscience. 16(2). 576–579.
19.
Vengatesan, K., et al.. (2018). Biclustering of gene expression data using biclustering iterative signature algorithm and biclustering coherent column. International Journal of Biomedical Engineering and Technology. 26(3/4). 341–341. 2 indexed citations
20.
Vengatesan, K., et al.. (2013). Recommendation system based on statistical analysis of ranking from user. 479–484. 5 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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