S. Shridevi
Impact in
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- AI in cancer detection
- Topic Modeling
Papers in
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- Semantic Web and Ontologies 3
- Cryptography and Data Security 2
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- Blockchain Technology Applications and Security 3
- Co-authors
- Thavavel Vaiyapuri (6 shared papers)Daehan Won (1 shared paper)B. Prasanalakshmi (1 shared paper)Yu‐Chen Hu (1 shared paper)Haya Alaskar (2 shared papers)K. Murugan (1 shared paper)Prasanalakshmi Balaji (3 shared papers)Abir Hussain (1 shared paper)
- Journals
- IEEE Access (3 papers)Applied Sciences (2 papers)Scientific Reports (1 paper)Big Data and Cognitive Computing (1 paper)Big Data (1 paper)
- Partner nations
- IndiaSaudi ArabiaGermany
In The Last Decade
S. Shridevi
31 papers receiving 185 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 3
- Artificial Intelligence 58
- Computer Vision and Pattern Recognition 35
- Information Systems 34
- Health Information Management 6
Countries citing papers authored by S. Shridevi
This map shows the geographic impact of S. Shridevi'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. Shridevi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Shridevi more than expected).
Fields of papers citing papers by S. Shridevi
This network shows the impact of papers produced by S. Shridevi. 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. Shridevi. The network helps show where S. Shridevi may publish in the future.
Co-authors
The 22 scholars most cited alongside S. Shridevi, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 39 | |
| 2 | 2021 | 30 | |
| 3 | 2024 | 18 | |
| 4 | 2019 | 17 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2022 | 2 |
About S. Shridevi
S. Shridevi is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 194 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (3 papers), IoT and Edge/Fog Computing (3 papers), Semantic Web and Ontologies (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Cryptography and Data Security (2 papers), Data Quality and Management (2 papers), Advanced Steganography and Watermarking Techniques (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (3 citations), Artificial Intelligence (58 citations), Computer Vision and Pattern Recognition (35 citations), Information Systems (34 citations) and Health Information Management (6 citations). S. Shridevi has collaborated with scholars based in India, Saudi Arabia and Germany. Frequent co-authors include Thavavel Vaiyapuri, Daehan Won, B. Prasanalakshmi, Yu‐Chen Hu, Haya Alaskar, K. Murugan, Prasanalakshmi Balaji, Abir Hussain, Susan Elias and G. Raju. Their work appears in journals such as IEEE Access, Applied Sciences, Scientific Reports, Big Data and Cognitive Computing and Big Data.
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.