R. Vidhya

437 citations
29 papers · 291 · h-index 12

Impact in

Papers in

R. Vidhya

25 papers receiving 278 citations

Peers

R. Vidhya
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 167
  • Media Technology 19
  • Toxicology 7
  • Mathematical Physics 16
  • Statistical and Nonlinear Physics 21
Replace Yuanhui Yu with:
Yuanhui Yu China
Xiaoxian Tang China
Shuliang Sun China
Dan Shi China
Vandana Bhatia India
Sourav Samanta India
Jurica Levatić Slovenia
Haodong Zhu China
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Citations per field
00.5×12.3×
Yuanhui Yu · 1×
Citations per year

Countries citing papers authored by R. Vidhya

Since Specialization
Citations

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

Fields of papers citing papers by R. Vidhya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside R. Vidhya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R. Vidhya Line = papers co-authored together R. Vidhya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202157
2 202026
3 201725
4 201922
5 201818
6 201815
7 202014
8 201913
9 201513
10 202012
11
Satellite Image Contrast Enhancement using Multiwavelets and Singular value Decomposition (SVD)
201112
12 201311
13 20208
14 20127
15
Denoising and Dimensionality Reduction of Hyperspectral Images Using Framelet Transform with Different Shrinkage Functions
20166
16 20216
17 20206
18 20205
19 20205
20 20202

About R. Vidhya

R. Vidhya is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Media Technology, Epidemiology and Artificial Intelligence, having authored 29 papers that have together received 291 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (11 papers), Advanced Steganography and Watermarking Techniques (9 papers), Cellular Automata and Applications (7 papers), Advanced Image Fusion Techniques (4 papers), Image and Signal Denoising Methods (4 papers), Image Enhancement Techniques (2 papers), Natural Antidiabetic Agents Studies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (167 citations), Media Technology (19 citations), Toxicology (7 citations), Mathematical Physics (16 citations) and Statistical and Nonlinear Physics (21 citations). R. Vidhya has collaborated with scholars based in India and China. Frequent co-authors include M. Brindha, S. Sreeja, Carani Venkatraman Anuradha, N. Ammasai Gounden, Kalpana K. Bhanumathy, Kodukkur Viswanathan Pugalendi, Vinothkumar Rajamanickam, R. Udayakumar, Divya Sebastian and S. Sumathi. Their work appears in journals such as Applied Intelligence, Multimedia Tools and Applications, International Immunopharmacology, Molecular and Cellular Biochemistry and Journal of Information Security and Applications.

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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