V. Masilamani

628 total citations
42 papers, 407 citations indexed

About

V. Masilamani is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Theory and Mathematics. According to data from OpenAlex, V. Masilamani has authored 42 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 7 papers in Computational Theory and Mathematics. Recurrent topics in V. Masilamani's work include Chaos-based Image/Signal Encryption (16 papers), Advanced Steganography and Watermarking Techniques (16 papers) and Digital Media Forensic Detection (12 papers). V. Masilamani is often cited by papers focused on Chaos-based Image/Signal Encryption (16 papers), Advanced Steganography and Watermarking Techniques (16 papers) and Digital Media Forensic Detection (12 papers). V. Masilamani collaborates with scholars based in India, United Kingdom and United States. V. Masilamani's co-authors include V. M. Manikandan, Anirban Mukherjee, K. V. Suresh, Vidhyacharan Bhaskar, Tricha Anjali, Atulya K. Nagar and T. Robinson and has published in prestigious journals such as Fuzzy Sets and Systems, Journal of Biomedical Informatics and Multimedia Tools and Applications.

In The Last Decade

V. Masilamani

37 papers receiving 393 citations

Peers

V. Masilamani
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 278
  • Media Technology 58
  • Computational Theory and Mathematics 39
  • Molecular Biology 36
  • Artificial Intelligence 33
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Zhao‐Rong Lai China
R. Devi India
Naiyang Guan China
Xuechang Ren China
Deming Zhai China
Petter Strandmark Sweden
Shouvik Chakraborty India
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Citations per field, relative to V. Masilamani
V. Masilamani · 1×
Citations per year, relative to V. Masilamani
V. Masilamani · 1×

Countries citing papers authored by V. Masilamani

Since Specialization
Citations

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

Fields of papers citing papers by V. Masilamani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Masilamani

This figure shows the co-authorship network connecting the top 25 collaborators of V. Masilamani. A scholar is included among the top collaborators of V. Masilamani 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 V. Masilamani. V. Masilamani 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
# Work Indexed citations
1 0
2 2
3 1
4 16
5 29
6 1
7 6
8 7
9 1
10 32
11 11
12 1
13 2
14 8
15 32
16 2
17 9
18 4
19 0
20 1

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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