S. Srividhya
Impact in
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- Artificial Intelligence in Healthcare
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
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- Energy Efficient Wireless Sensor Networks 4
- IoT and Edge/Fog Computing 3
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- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 3
- Co-authors
- C. Kavitha (7 shared papers)Vinodhini Mani (2 shared papers)Osamah Ibrahim Khalaf (1 shared paper)Carlos Andrés Tavera Romero (1 shared paper)Suresh Sankaranarayanan (1 shared paper)Sanjiv Jain (2 shared papers)Wen‐Cheng Lai (5 shared papers)Tao Hai (1 shared paper)
- Journals
- Electronics (4 papers)Frontiers in Public Health (2 papers)Scientific Reports (1 paper)Advances in Complex Systems (1 paper)Indian Journal of Science and Technology (1 paper)
- Partner nations
- IndiaTaiwanUnited States
In The Last Decade
S. Srividhya
48 papers receiving 369 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Health Information Management 76
- Neurology 89
- Health Informatics 14
- Artificial Intelligence 126
- Psychiatry and Mental health 51
Countries citing papers authored by S. Srividhya
This map shows the geographic impact of S. Srividhya'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. Srividhya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Srividhya more than expected).
Fields of papers citing papers by S. Srividhya
This network shows the impact of papers produced by S. Srividhya. 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. Srividhya. The network helps show where S. Srividhya may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Srividhya, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Early-Stage Alzheimer's Disease Prediction Using Machine Learning Models Hit paper breakdown → | 2022 | 170 |
| 2 | 2022 | 27 | |
| 3 | 2022 | 25 | |
| 4 | 2022 | 24 | |
| 5 | 2020 | 20 | |
| 6 | 2022 | 15 | |
| 7 | 2016 | 12 | |
| 8 | 2022 | 9 | |
| 9 | 2023 | 7 | |
| 10 | 2016 | 7 | |
| 11 | 2018 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2019 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2018 | 3 |
About S. Srividhya
S. Srividhya is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems and Artificial Intelligence, having authored 58 papers that have together received 405 indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (6 papers), Energy Efficient Wireless Sensor Networks (4 papers), Brain Tumor Detection and Classification (4 papers), Advanced Neural Network Applications (3 papers), IoT and Edge/Fog Computing (3 papers), Video Surveillance and Tracking Methods (3 papers), Blockchain Technology Applications and Security (3 papers) and Retinal Imaging and Analysis (3 papers). The work is most often cited by research in Health Information Management (76 citations), Neurology (89 citations), Health Informatics (14 citations), Artificial Intelligence (126 citations) and Psychiatry and Mental health (51 citations). S. Srividhya has collaborated with scholars based in India, Taiwan and United States. Frequent co-authors include C. Kavitha, Vinodhini Mani, Osamah Ibrahim Khalaf, Carlos Andrés Tavera Romero, Suresh Sankaranarayanan, Sanjiv Jain, Wen‐Cheng Lai, Tao Hai, Md Habibur Rahman and Jincheng Zhou. Their work appears in journals such as Electronics, Frontiers in Public Health, Scientific Reports, Advances in Complex Systems and Indian Journal of Science and Technology.
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.