K. Revathy

669 citations
43 papers · 550 · h-index 14

Impact in

Papers in

K. Revathy

40 papers receiving 487 citations

Peers

K. Revathy
Comparison fields: 5 of 78
  • Astronomy and Astrophysics 190
  • Media Technology 91
  • Computer Vision and Pattern Recognition 216
  • Developmental Biology 20
  • Atmospheric Science 111
Replace Gottfried Schwarz with:
Gottfried Schwarz Germany
Zheng Sheng China
Pierre Chainais France
L. Bandeira Portugal
Erik R. Urbach Netherlands
Olivier Jamet France
Lilun Zhang China
Trienko Grobler South Africa
S.R. Saunders United Kingdom
K. Revathy relative to Gottfried Schwarz Germany Gottfried Schwarz's profile →
Citations per field
00.5×2.7×
Gottfried Schwarz · 1×
Citations per year

Countries citing papers authored by K. Revathy

Since Specialization
Citations

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

Fields of papers citing papers by K. Revathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K. Revathy, 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 K. Revathy Line = papers co-authored together K. Revathy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200272
2 200857
3 199642
4 200034
5 200133
6
Removal of Salt-and Pepper Noise in Images: A New Decision-Based Algorithm
200932
7 200329
8 200528
9
USING MUTUAL INFORMATION AND CROSS CORRELATION AS METRICS FOR REGISTRATION OF IMAGES
200823
10 200818
11 200317
12 200715
13 201014
14 201213
15 200712
16 200110
17 20009
18 20098
19
A Comparative Analysis of Image Fusion Techniques for Remote Sensed Images.
20077
20
Applying EM Algorithm for Segmentation of Textured Images.
20077

About K. Revathy

K. Revathy is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Astronomy and Astrophysics, Signal Processing and Atmospheric Science, having authored 43 papers that have together received 550 indexed citations. Recurring topics across this work include Ionosphere and magnetosphere dynamics (8 papers), Solar and Space Plasma Dynamics (7 papers), Image Retrieval and Classification Techniques (7 papers), Atmospheric Ozone and Climate (5 papers), Neural Networks and Applications (5 papers), Image and Signal Denoising Methods (5 papers), Medical Image Segmentation Techniques (4 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Astronomy and Astrophysics (190 citations), Media Technology (91 citations), Computer Vision and Pattern Recognition (216 citations), Developmental Biology (20 citations) and Atmospheric Science (111 citations). K. Revathy has collaborated with scholars based in India and South Korea. Frequent co-authors include S. R. Prabhakaran Nayar, Rao Tatavarti, Madhu S. Nair, G. Raju, Asha Das, V.S.K. Nair, B. V. Krishna Murthy, K. Parameswaran, K. Raghunath and K. Satheesan. Their work appears in journals such as Solar Physics, Fractals, IEEE photonics journal, Annales Geophysicae and Journal of Atmospheric and Solar-Terrestrial Physics.

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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