T. Kalaiselvi

809 citations
55 papers · 619 · h-index 13

Impact in

Papers in

    • Medical Image Segmentation Techniques 34
    • Advanced Neural Network Applications 9
    • Image Retrieval and Classification Techniques 9
    • Image and Signal Denoising Methods 4
    • Brain Tumor Detection and Classification 37

T. Kalaiselvi

51 papers receiving 568 citations

Peers

T. Kalaiselvi
Comparison fields: 5 of 85
  • Neurology 371
  • Computer Vision and Pattern Recognition 407
  • Health Informatics 15
  • Radiology, Nuclear Medicine and Imaging 114
  • Urban Studies 34
Replace Waheed Ahmed Abro with:
Waheed Ahmed Abro China
P. Sriramakrishnan India
Jagadeesh Kakarla India
S. Selvakumar Raja India
Zaka Ur Rehman Malaysia
Asim Munir Pakistan
Tian Lan China
Muhammad Sharif Pakistan
Wajdi Elhamzi Tunisia
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Citations per field
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Citations per year

Countries citing papers authored by T. Kalaiselvi

Since Specialization
Citations

This map shows the geographic impact of T. Kalaiselvi'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 T. Kalaiselvi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kalaiselvi more than expected).

Fields of papers citing papers by T. Kalaiselvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside T. Kalaiselvi, 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 T. Kalaiselvi Line = papers co-authored together T. Kalaiselvi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201182
2 201067
3 201758
4 201944
5 201537
6 201927
7 202023
8 201122
9 202117
10 201515
11 201913
12 201913
13 202212
14 201812
15 202211
16
A Comparative Study of Segmentation Techniques used for MR Brain Images.
200910
17 201710
18 20179
19 20169
20 20168

About T. Kalaiselvi

T. Kalaiselvi is a scholar working on Computer Vision and Pattern Recognition, Neurology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Urban Studies, having authored 55 papers that have together received 619 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (37 papers), Medical Image Segmentation Techniques (34 papers), Advanced Neural Network Applications (9 papers), Image Retrieval and Classification Techniques (9 papers), Advanced Computing and Algorithms (6 papers), Image and Signal Denoising Methods (4 papers), AI in cancer detection (4 papers) and Multi-Criteria Decision Making (3 papers). The work is most often cited by research in Neurology (371 citations), Computer Vision and Pattern Recognition (407 citations), Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (114 citations) and Urban Studies (34 citations). T. Kalaiselvi has collaborated with scholars based in India and United States. Frequent co-authors include K. Somasundaram, P. Sriramakrishnan, S. Padmapriya, Rajeswaran Rangasami, P. Balasubramaniam, S. Vijayalakshmi, N. Shanthi, Seepana Praveenkumar, Kalavathy Ramasamy and K. Selvi. Their work appears in journals such as International Journal of Imaging Systems and Technology, Computers in Biology and Medicine, International Journal of Computational Methods, Biomedical Signal Processing and Control and Soft Computing.

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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