S. Punitha
Impact in
- Artificial Intelligence top 5%
- AI in cancer detection
- Metaheuristic Optimization Algorithms Research
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- Artificial Intelligence in Healthcare
Papers in
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- AI in cancer detection 6
- Advanced Clustering Algorithms Research 4
- Text and Document Classification Technologies 3
- Semantic Web and Ontologies 3
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- Face and Expression Recognition 3
- Co-authors
- Thompson Stephan (12 shared papers)A. Amuthan (3 shared papers)K. Suresh Joseph (3 shared papers)Fadi Al‐Turjman (2 shared papers)S. Ravi (2 shared papers)M. Punithavalli (6 shared papers)Ramani Kannan (2 shared papers)Ajith Abraham (1 shared paper)
- Journals
- IEEE Access (2 papers)Journal of Intelligent & Fuzzy Systems (1 paper)International Journal of Fuzzy Systems (1 paper)Neural Computing and Applications (1 paper)Sustainability (1 paper)
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
S. Punitha
34 papers receiving 468 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 321
- Health Information Management 42
- Neurology 72
- Radiology, Nuclear Medicine and Imaging 146
- Computer Vision and Pattern Recognition 103
Countries citing papers authored by S. Punitha
This map shows the geographic impact of S. Punitha'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. Punitha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Punitha more than expected).
Fields of papers citing papers by S. Punitha
This network shows the impact of papers produced by S. Punitha. 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. Punitha. The network helps show where S. Punitha may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Punitha, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 83 | |
| 2 | 2016 | 72 | |
| 3 | 2021 | 51 | |
| 4 | 2021 | 49 | |
| 5 | 2021 | 43 | |
| 6 | 2019 | 29 | |
| 7 | 2020 | 28 | |
| 8 | 2017 | 21 | |
| 9 | 2012 | 15 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2011 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2011 | 6 | |
| 19 | 2013 | 5 | |
| 20 | Binary watermarking technique based on Visual Cryptography | 2010 | 5 |
About S. Punitha
S. Punitha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Management Science and Operations Research, having authored 42 papers that have together received 494 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Stock Market Forecasting Methods (4 papers), Advanced Clustering Algorithms Research (4 papers), Brain Tumor Detection and Classification (4 papers), Face and Expression Recognition (3 papers), Text and Document Classification Technologies (3 papers), Semantic Web and Ontologies (3 papers) and Data Mining Algorithms and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (321 citations), Health Information Management (42 citations), Neurology (72 citations), Radiology, Nuclear Medicine and Imaging (146 citations) and Computer Vision and Pattern Recognition (103 citations). S. Punitha has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Thompson Stephan, A. Amuthan, K. Suresh Joseph, Fadi Al‐Turjman, S. Ravi, M. Punithavalli, Ramani Kannan, Ajith Abraham, Achyut Shankar and Пэйдэ Лю. Their work appears in journals such as IEEE Access, Journal of Intelligent & Fuzzy Systems, International Journal of Fuzzy Systems, Neural Computing and Applications and Sustainability.
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.