Vani Rajasekar

961 total citations
47 papers, 508 citations indexed

About

Vani Rajasekar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Vani Rajasekar has authored 47 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 12 papers in Information Systems. Recurrent topics in Vani Rajasekar's work include Chaos-based Image/Signal Encryption (13 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Biometric Identification and Security (6 papers). Vani Rajasekar is often cited by papers focused on Chaos-based Image/Signal Encryption (13 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Biometric Identification and Security (6 papers). Vani Rajasekar collaborates with scholars based in India, Serbia and China. Vani Rajasekar's co-authors include J. Premalatha, S. Velliangiri, Rajesh Kumar Dhanaraj, Muzafer Saračević, SK Hafizul Islam, R. Sitharthan, Balamurugan Balusamy, Darjan Karabašević, Dragiša Stanujkić and Mohamed Elhoseny and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industrial Informatics and Nonlinear Dynamics.

In The Last Decade

Vani Rajasekar

39 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vani Rajasekar India 13 156 134 129 112 96 47 508
Tianhan Gao China 12 122 0.8× 214 1.6× 78 0.6× 266 2.4× 122 1.3× 39 547
Rahil Hosseini Iran 11 118 0.8× 244 1.8× 127 1.0× 220 2.0× 243 2.5× 45 661
Alaa Kadhim Farhan Iraq 16 468 3.0× 312 2.3× 93 0.7× 126 1.1× 108 1.1× 85 780
B. Surendiran India 13 117 0.8× 307 2.3× 114 0.9× 147 1.3× 87 0.9× 54 540
Uday Kulkarni India 13 243 1.6× 151 1.1× 116 0.9× 48 0.4× 49 0.5× 63 517
Anto Satriyo Nugroho Indonesia 10 158 1.0× 200 1.5× 177 1.4× 195 1.7× 232 2.4× 61 572
P. Thangaraj India 11 64 0.4× 102 0.8× 47 0.4× 152 1.4× 35 0.4× 62 352
Mahua Bhattacharya India 15 273 1.8× 242 1.8× 42 0.3× 156 1.4× 53 0.6× 104 723
Tolga Ensarı Türkiye 11 80 0.5× 497 3.7× 58 0.4× 222 2.0× 17 0.2× 44 763
Walaa N. Ismail Saudi Arabia 13 83 0.5× 148 1.1× 100 0.8× 140 1.3× 78 0.8× 28 446

Countries citing papers authored by Vani Rajasekar

Since Specialization
Citations

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

Fields of papers citing papers by Vani Rajasekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vani Rajasekar

This figure shows the co-authorship network connecting the top 25 collaborators of Vani Rajasekar. A scholar is included among the top collaborators of Vani Rajasekar 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 Vani Rajasekar. Vani Rajasekar 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.
Na, In Seop, et al.. (2025). Real-Time Fire Risk Classification Using Sensor Data and Digital-Twin-Enabled Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 19961–19973.
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Devi, K. Nirmala, et al.. (2024). Cyberbullying Detection and Severity Classification Using Bi-LSTM. 338–344.
5.
Rajasekar, Vani, et al.. (2024). An Intelligent System For Skin Cancer Detection Using Deep Learning Techniques. 1–5. 1 indexed citations
6.
Rajasekar, Vani, et al.. (2023). Lung cancer disease prediction with CT scan and histopathological images feature analysis using deep learning techniques. Results in Engineering. 18. 101111–101111. 64 indexed citations
7.
Soundrapandiyan, Rajkumar, et al.. (2023). Hybridized Cryptographic Encryption and Decryption Using Advanced Encryption Standard and Data Encryption Standard. Cybernetics and Information Technologies. 23(4). 63–78. 5 indexed citations
8.
Rajasekar, Vani, et al.. (2023). Smart Jacket for Monitoring the Health Conditions of Patients using IoT. 1165–1170.
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Rajasekar, Vani, et al.. (2022). Efficient Cancelable Template Generation Based on Signcryption and Bio Hash Function. Axioms. 11(12). 684–684. 1 indexed citations
11.
Rajasekar, Vani, Bratislav Predić, Muzafer Saračević, et al.. (2022). Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm. Scientific Reports. 12(1). 622–622. 61 indexed citations
12.
Dhanaraj, Rajesh Kumar, SK Hafizul Islam, & Vani Rajasekar. (2022). A cryptographic paradigm to detect and mitigate blackhole attack in VANET environments. Wireless Networks. 28(7). 3127–3142. 31 indexed citations
13.
Velliangiri, S., Rajesh Manoharan, R. Sitharthan, & Vani Rajasekar. (2021). Blockchain Based Privacy Preserving Framework for Emerging 6G Wireless Communications. IEEE Transactions on Industrial Informatics. 18(7). 4868–4874. 40 indexed citations
14.
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
15.
Rajasekar, Vani, et al.. (2021). A modernistic approach for chaotic based pseudo random number generator secured with gene dominance. Sadhana. 46(1). 8 indexed citations
16.
Rajasekar, Vani, et al.. (2021). Enhanced WSN Routing Protocol for Internet of Things to Process Multimedia Big Data. Wireless Personal Communications. 126(3). 2081–2100. 6 indexed citations
17.
Rajasekar, Vani, et al.. (2020). Multi-factor signcryption scheme for secure authentication using hyper elliptic curve cryptography and bio-hash function. Bulletin of the Polish Academy of Sciences Technical Sciences. 923–935. 8 indexed citations
18.
Rajasekar, Vani, et al.. (2019). An Efficient Signcryption Scheme for Secure Authentication using Hyper Elliptic Curve Cryptography and Keccak Hashing. International Journal of Recent Technology and Engineering (IJRTE). 8(3). 1593–1598. 7 indexed citations
19.
Rajasekar, Vani, et al.. (2016). Biometric signcryption using hyperelliptic curve and cryptographically secure random number. 1–7. 2 indexed citations
20.
Chandrasekar, A., Vani Rajasekar, & V. Vasudevan. (2009). Improved Authentication and Key Agreement Protocol Using Elliptic Curve Cryptography. 6 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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