S. Shanthi
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
Papers in
-
- AI in cancer detection 6
- Advanced Clustering Algorithms Research 6
- Metaheuristic Optimization Algorithms Research 6
- Neural Networks and Applications 3
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- Face and Expression Recognition 5
- Image Retrieval and Classification Techniques 4
- Co-authors
- Baskaralingam Vaseeharan (3 shared papers)Balasubramanian Malaikozhundan (1 shared paper)Sekar Vijayakumar (1 shared paper)R. Ramani (2 shared papers)V. Murali Bhaskaran (3 shared papers)Sabu Thomas (1 shared paper)Andrew J. Spiers (1 shared paper)M. Dharmendira Kumar (1 shared paper)
In The Last Decade
S. Shanthi
48 papers receiving 620 citations
Peers
Comparison fields: 5 of 133
- Endocrinology 33
- Complementary and alternative medicine 34
- Safety, Risk, Reliability and Quality 40
- Artificial Intelligence 130
- Microbiology 21
Countries citing papers authored by S. Shanthi
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
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 13 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.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 213 | |
| 2 | 2014 | 101 | |
| 3 | Feature Relevance Analysis and Classification of Road Traffic Accident Data through Data Mining Techniques | 2012 | 39 |
| 4 | Classification of Vehicle Collision Patterns in Road Accidents using Data Mining Algorithms | 2011 | 34 |
| 5 | 2018 | 33 | |
| 6 | 2013 | 25 | |
| 7 | 2021 | 22 | |
| 8 | 2019 | 21 | |
| 9 | Effect of chloroquine on rat liver mitochondria. | 1994 | 18 |
| 10 | 2011 | 15 | |
| 11 | 2010 | 14 | |
| 12 | 2021 | 12 | |
| 13 | 2014 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2017 | 10 | |
| 16 | 2012 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2012 | 7 | |
| 19 | 2017 | 6 | |
| 20 | 2020 | 6 |
About S. Shanthi
S. Shanthi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 57 papers that have together received 690 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Advanced Clustering Algorithms Research (6 papers), Gene expression and cancer classification (6 papers), Metaheuristic Optimization Algorithms Research (6 papers), Face and Expression Recognition (5 papers), Data Mining Algorithms and Applications (4 papers), Image Retrieval and Classification Techniques (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Endocrinology (33 citations), Complementary and alternative medicine (34 citations), Safety, Risk, Reliability and Quality (40 citations), Artificial Intelligence (130 citations) and Microbiology (21 citations). S. Shanthi has collaborated with scholars based in India, Ethiopia and China. Frequent co-authors include Baskaralingam Vaseeharan, Balasubramanian Malaikozhundan, Sekar Vijayakumar, R. Ramani, V. Murali Bhaskaran, Sabu Thomas, Andrew J. Spiers, M. Dharmendira Kumar, Devan Hemalatha and K. Nirmala Devi. Their work appears in journals such as Sadhana, Mycology: An International Journal on Fungal Biology, Microbiological Research, Survey of Ophthalmology and Materials Chemistry and Physics.
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.