A. Senthilselvi

1.2k citations
72 papers · 807 · h-index 16

Impact in

Papers in

A. Senthilselvi

62 papers receiving 774 citations

Peers

A. Senthilselvi
Comparison fields: 5 of 105
  • Neurology 175
  • Computer Vision and Pattern Recognition 225
  • Health Information Management 41
  • Artificial Intelligence 215
  • Analytical Chemistry 56
Replace V. Muneeswaran with:
V. Muneeswaran India
Avinash Sharma India
Meshal Alharbi Saudi Arabia
Sultan H. Almotiri Saudi Arabia
U. John Tanik United States
Akey Sungheetha India
Senthil Pandi S India
Salil Bharany India
Jaafar Alghazo Saudi Arabia
Nikita Singh India
A. Senthilselvi relative to V. Muneeswaran India V. Muneeswaran's profile →
Citations per field
00.5×3.6×
V. Muneeswaran · 1×
Citations per year

Countries citing papers authored by A. Senthilselvi

Since Specialization
Citations

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

Fields of papers citing papers by A. Senthilselvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside A. Senthilselvi, 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 A. Senthilselvi Line = papers co-authored together A. Senthilselvi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019165
2 202264
3 202251
4 202438
5 202235
6 202334
7 202333
8 202328
9 202228
10 201924
11 202423
12 202222
13 202021
14 202018
15 201817
16 202115
17 202415
18 202311
19 202410
20 20249

About A. Senthilselvi

A. Senthilselvi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Plant Science and Information Systems, having authored 72 papers that have together received 807 indexed citations. Recurring topics across this work include Smart Agriculture and AI (8 papers), Brain Tumor Detection and Classification (7 papers), Vehicle License Plate Recognition (6 papers), Cutaneous Melanoma Detection and Management (5 papers), Spectroscopy and Chemometric Analyses (5 papers), Imbalanced Data Classification Techniques (5 papers), Image and Signal Denoising Methods (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Neurology (175 citations), Computer Vision and Pattern Recognition (225 citations), Health Information Management (41 citations), Artificial Intelligence (215 citations) and Analytical Chemistry (56 citations). A. Senthilselvi has collaborated with scholars based in India, Saudi Arabia and Nepal. Frequent co-authors include Krishan Kumar, B. S. Murugan, Senthil Pandi S, R. Karthick, T. P. Latchoumi, S. Dhanasekaran, P. Rajesh Kumar, P. Uma Maheswari, M. Hariharan and Shankar Vembu. Their work appears in journals such as Multimedia Tools and Applications, Computers & Security, Journal of Ambient Intelligence and Humanized Computing, Environment Development and Sustainability and Evolving Systems.

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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