D. Selvathi

1.2k citations
78 papers · 746 indexed · h-index 14

D. Selvathi

74 papers receiving 662 citations

Peers

D. Selvathi
Comparison fields: 5 of 84
  • Neurology 174
  • Computer Vision and Pattern Recognition 326
  • Media Technology 87
  • Radiology, Nuclear Medicine and Imaging 184
  • Health Information Management 31
Replace Ümit Budak with:
Ümit Budak Türkiye
Zhe Liu China
Bingzhi Chen China
Yaman Akbulut Türkiye
Xianqing Chen China
Ahmad Ayatollahi Iran
Shahriar B. Shokouhi Iran
Xiaoming Qi China
Mohammed A.‐M. Salem Egypt
Varun P. Gopi India
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Citations per field
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Citations per year

Countries citing papers authored by D. Selvathi

Since Specialization
Citations

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

Fields of papers citing papers by D. Selvathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside D. Selvathi, 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 D. Selvathi Line = papers co-authored together D. Selvathi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202411
4 20216
5 20211
6 20212
7
Hardware Implementation of Road Network Extraction Using Simplified Gabor Wavelet in Field Programmable Gate Array
20182
8 201721
9 20173
10 201713
11
Discrete Tchebichef moment based machine learning method for the classification of disorder with ultrasound kidney images
20164
12
An efficient approach for detecting exudates in diabetic retinopathy images
20163
13 20166
14 20165
15 201414
16 201410
17 20135
18 20126
19
Artificial Intelligence Techniques for Medical Image Analysis: Basics, Methods, Applications
20103
20
Least Squares Support Vector Machine Based Classification of Abnormalities in Brain MR Images
20062

About D. Selvathi

D. Selvathi is a scholar working on Media Technology, Neurology, Computer Vision and Pattern Recognition, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 78 papers that have together received 746 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (19 papers), Medical Image Segmentation Techniques (17 papers), Image and Signal Denoising Methods (17 papers), Advanced Image Fusion Techniques (12 papers), Retinal Imaging and Analysis (10 papers), AI in cancer detection (9 papers), Digital Imaging for Blood Diseases (8 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Neurology (174 citations), Computer Vision and Pattern Recognition (326 citations), Media Technology (87 citations), Radiology, Nuclear Medicine and Imaging (184 citations) and Health Information Management (31 citations). D. Selvathi has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include S. Thamarai Selvi, Laxmi Gewali, H. Selvaraj, S. Priyadarsini, D. Jude Hemanth, N. B. Prakash, K. Suganya, Henry Selvaraj, J. Anitha and G. R. Hemalakshmi. Their work appears in journals such as Wireless Personal Communications, International Journal of Imaging Systems and Technology, Indian Journal of Science and Technology, Applied Soft Computing and Pattern Recognition Letters.

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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