Vani Rajasekar

961 citations
47 papers · 508 indexed · h-index 13
Topics
Chaos-based Image/Signal Encryption (13 papers)Advanced Steganography and Watermarking Techniques (7 papers)Biometric Identification and Security (6 papers)
Partner nations
IndiaSerbiaChina

In The Last Decade

Vani Rajasekar

39 papers receiving 464 citations

Peers

Vani Rajasekar
Comparison fields: 5 of 90
  • Computer Vision and Pattern Recognition 156
  • Artificial Intelligence 134
  • Information Systems 129
  • Computer Networks and Communications 112
  • Signal Processing 96
Replace Alaa Kadhim Farhan with:
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Prabhakar Krishnan India
Rahil Hosseini Iran
B. Surendiran India
Uday Kulkarni India
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Tianhan Gao China
Manmath Narayan Sahoo India
Binh T. Nguyen Vietnam
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Citations per field
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Citations per year

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
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 0
6 1
7 0
8 5
9 2
10 1
11 1
12 61
13 31
14 26
15 8
16 40
17 8
18 7
19 2
20
Improved Authentication and Key Agreement Protocol Using Elliptic Curve Cryptography
6

About Vani Rajasekar

Vani Rajasekar is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 47 papers that have together received 508 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (13 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Biometric Identification and Security (6 papers). The work is most often cited by research in Signal Processing (96 citations), Computer Vision and Pattern Recognition (156 citations) and Information Systems (129 citations). Vani Rajasekar has collaborated with scholars based in India, Serbia and China. Frequent 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. Their work appears in journals such as Scientific Reports, IEEE Transactions on Industrial Informatics and Nonlinear Dynamics.

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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