S. Vimal
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- AI in cancer detection
- Machine Learning in Healthcare
Papers in
-
- AI in cancer detection 5
- Sentiment Analysis and Opinion Mining 4
-
- Advanced Neural Network Applications 6
- Digital Imaging for Blood Diseases 4
- Co-authors
- M. Kaliappan (7 shared papers)Mi Young Lee (1 shared paper)Harold Robinson (11 shared papers)Gaurav Dhiman (9 shared papers)Ashutosh Sharma (2 shared papers)Amandeep Kaur (2 shared papers)E. Golden Julie (5 shared papers)Krishna Kant Singh (1 shared paper)
- Journals
- Measurement (2 papers)Computational Intelligence and Neuroscience (2 papers)Scientific Reports (2 papers)Wireless Personal Communications (2 papers)Neural Processing Letters (2 papers)
- Partner nations
- IndiaSouth KoreaAustralia
In The Last Decade
S. Vimal
70 papers receiving 1.4k citations
S. Vimal's Hit Papers
Peers
Comparison fields: 5 of 147
- Health Information Management 178
- Artificial Intelligence 432
- Health Informatics 15
- Computer Networks and Communications 217
- Computer Vision and Pattern Recognition 189
Countries citing papers authored by S. Vimal
This map shows the geographic impact of S. Vimal'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. Vimal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Vimal more than expected).
Fields of papers citing papers by S. Vimal
This network shows the impact of papers produced by S. Vimal. 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. Vimal. The network helps show where S. Vimal may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Vimal, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AI-based smart prediction of clinical disease using random forest classifier and Naive Bayes Hit paper breakdown → | 2020 | 228 |
| 2 | 2020 | 182 | |
| 3 | 2022 | 92 | |
| 4 | 2019 | 85 | |
| 5 | 2023 | 54 | |
| 6 | 2020 | 52 | |
| 7 | 2021 | 51 | |
| 8 | 2021 | 49 | |
| 9 | 2022 | 45 | |
| 10 | 2023 | 35 | |
| 11 | 2024 | 34 | |
| 12 | 2022 | 34 | |
| 13 | IoT Based Smart Health Monitoring with CNN Using Edge Computing | 2021 | 31 |
| 14 | 2020 | 31 | |
| 15 | 2021 | 30 | |
| 16 | 2019 | 28 | |
| 17 | 2019 | 27 | |
| 18 | 2018 | 26 | |
| 19 | 2021 | 24 | |
| 20 | 2022 | 24 |
About S. Vimal
S. Vimal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (8 papers), Advanced Neural Network Applications (6 papers), Smart Agriculture and AI (6 papers), Artificial Intelligence in Healthcare (5 papers), AI in cancer detection (5 papers), Energy Load and Power Forecasting (5 papers), Sentiment Analysis and Opinion Mining (4 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Health Information Management (178 citations), Artificial Intelligence (432 citations), Health Informatics (15 citations), Computer Networks and Communications (217 citations) and Computer Vision and Pattern Recognition (189 citations). S. Vimal has collaborated with scholars based in India, South Korea and Australia. Frequent co-authors include M. Kaliappan, Mi Young Lee, Harold Robinson, Gaurav Dhiman, Ashutosh Sharma, Amandeep Kaur, E. Golden Julie, Krishna Kant Singh, Korhan Cengiz and Diego Oliva. Their work appears in journals such as Measurement, Computational Intelligence and Neuroscience, Scientific Reports, Wireless Personal Communications and Neural Processing Letters.
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.