S. Shanthi

43 papers receiving 691 citations

Peers

S. Shanthi
Comparison fields: 5 of 142
  • Health Informatics 11
  • Endocrinology 30
  • Pharmacology 49
  • Complementary and alternative medicine 43
  • Radiology, Nuclear Medicine and Imaging 116
Replace Devvret Verma with:
Devvret Verma India
Mohd Asif Shah India
Qiankun Wang China
Hao Chi Zhang United States
Jameel R. Al‐Obaidi Malaysia
Weitong Zhang China
Md. Zahid Hasan Bangladesh
Xue Liu China
Satarupa Banerjee India
R. Sathya India
S. Shanthi relative to Devvret Verma India Devvret Verma's profile →
Citations per field
00.5×10×20×29.5×
Devvret Verma · 1×
Citations per year

Countries citing papers authored by S. Shanthi

Since Specialization
Citations

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

Fields of papers citing papers by S. Shanthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside S. Shanthi, 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 S. Shanthi Line = papers co-authored together S. Shanthi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014194
2 201491
3 202274
4 199573
5
Feature Relevance Analysis and Classification of Road Traffic Accident Data through Data Mining Techniques
201235
6 201831
7
Classification of Vehicle Collision Patterns in Road Accidents using Data Mining Algorithms
201130
8 202121
9 201321
10 201918
11
Effect of chloroquine on rat liver mitochondria.
199417
12 202015
13 201014
14 201114
15 202310
16 201410
17 20219
18 20198
19 20127
20 20127

About S. Shanthi

S. Shanthi is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 53 papers that have together received 763 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Advanced Clustering Algorithms Research (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Face and Expression Recognition (4 papers), Image Retrieval and Classification Techniques (4 papers), Data Mining Algorithms and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Health Informatics (11 citations), Endocrinology (30 citations), Pharmacology (49 citations), Complementary and alternative medicine (43 citations) and Radiology, Nuclear Medicine and Imaging (116 citations). S. Shanthi has collaborated with scholars based in India, Vietnam and China. Frequent co-authors include Baskaralingam Vaseeharan, Vinoj Gopalakrishnan, Sekar Vijayakumar, Balasubramanian Malaikozhundan, R. Ramani, Andrew J. Spiers, V. Murali Bhaskaran, Sabu Thomas, Halagowder Devaraj and Ali Jawad Alrubaie. Their work appears in journals such as Mycology: An International Journal on Fungal Biology, Sadhana, Microbiological Research, Marine Biotechnology and Advances in Engineering Software.

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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