S. Punitha
Impact in
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- Artificial Intelligence in Healthcare
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
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- AI in cancer detection 8
- Advanced Clustering Algorithms Research 4
- Semantic Web and Ontologies 3
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- Digital Imaging for Blood Diseases 4
- Face and Expression Recognition 3
- Co-authors
- A. Amuthan (3 shared papers)K. Suresh Joseph (3 shared papers)Thompson Stephan (14 shared papers)Fadi Al‐Turjman (3 shared papers)S. Ravi (2 shared papers)M. Punithavalli (6 shared papers)Achyut Shankar (2 shared papers)Пэйдэ Лю (1 shared paper)
- Journals
- Artificial Intelligence in Medicine (2 papers)IEEE Access (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Computers & Electrical Engineering (1 paper)International Journal of Fuzzy Systems (1 paper)
- Partner nations
- IndiaSaudi ArabiaBelarus
In The Last Decade
S. Punitha
38 papers receiving 436 citations
Peers
Comparison fields: 5 of 85
- Health Information Management 44
- Neurology 69
- Artificial Intelligence 298
- Radiology, Nuclear Medicine and Imaging 136
- Computer Vision and Pattern Recognition 105
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 91 | |
| 2 | 2016 | 79 | |
| 3 | 2021 | 63 | |
| 4 | 2017 | 30 | |
| 5 | 2020 | 29 | |
| 6 | 2019 | 29 | |
| 7 | 2012 | 18 | |
| 8 | 2023 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2011 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2011 | 6 | |
| 18 | 2013 | 5 | |
| 19 | 2010 | 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 Neurology, having authored 46 papers that have together received 463 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Brain Tumor Detection and Classification (5 papers), Digital Imaging for Blood Diseases (4 papers), Stock Market Forecasting Methods (4 papers), Advanced Clustering Algorithms Research (4 papers), Face and Expression Recognition (3 papers), Artificial Intelligence in Healthcare (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Health Information Management (44 citations), Neurology (69 citations), Artificial Intelligence (298 citations), Radiology, Nuclear Medicine and Imaging (136 citations) and Computer Vision and Pattern Recognition (105 citations). S. Punitha has collaborated with scholars based in India, Saudi Arabia and Belarus. Frequent co-authors include A. Amuthan, K. Suresh Joseph, Thompson Stephan, Fadi Al‐Turjman, S. Ravi, M. Punithavalli, Achyut Shankar, Пэйдэ Лю, Amir H. Gandomi and M. Shamim Kaiser. Their work appears in journals such as Artificial Intelligence in Medicine, IEEE Access, Computer Methods and Programs in Biomedicine, Computers & Electrical Engineering and International Journal of Fuzzy 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.