R. Vanithamani

27 papers receiving 240 citations

Peers

R. Vanithamani
Comparison fields: 5 of 70
  • Media Technology 39
  • Safety Research 33
  • Computer Vision and Pattern Recognition 70
  • Radiology, Nuclear Medicine and Imaging 55
  • Health Informatics 3
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Citations per year

Countries citing papers authored by R. Vanithamani

Since Specialization
Citations

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

Fields of papers citing papers by R. Vanithamani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201865
2 202027
3 201425
4
Review of retinal blood vessel detection methods for automated diagnosis of Diabetic Retinopathy
201220
5 202018
6 202418
7 201114
8 201013
9
Modified hybrid median filter for effective speckle reduction in ultrasound images
201012
10 20148
11 20217
12 20235
13 20154
14
An adaptive window hybrid median filter for despeckling of medical ultrasound images
20144
15 20224
16 20163
17 20223
18 20152
19 20202
20
Segmentation of Mammographic Masses Using Gray Level Thresholding
20151

About R. Vanithamani

R. Vanithamani is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 265 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (8 papers), Image and Signal Denoising Methods (6 papers), Advanced Image Processing Techniques (5 papers), AI in cancer detection (4 papers), Brain Tumor Detection and Classification (3 papers), Retinal Imaging and Analysis (3 papers), Wireless Body Area Networks (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Media Technology (39 citations), Safety Research (33 citations), Computer Vision and Pattern Recognition (70 citations), Radiology, Nuclear Medicine and Imaging (55 citations) and Health Informatics (3 citations). R. Vanithamani has collaborated with scholars based in India, Saudi Arabia and Vietnam. Frequent co-authors include G. Umamaheswari, S. Pavithra, H. Nagabhushana, B. Daruka Prasad, S. Sumathi, Cherumuttathu H. Suresh, G.P. Darshan, R.B. Basavaraj, S.C. Sharma and D. Kavyashree. Their work appears in journals such as Scientific Reports, Journal of Colloid and Interface Science, Journal of Photochemistry and Photobiology A Chemistry, Computers, materials & continua/Computers, materials & continua (Print) and Biomedical Signal Processing and Control.

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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