S. Mohanavalli
Impact in
- Applied Psychology top 10%
- Digital Mental Health Interventions
-
- Artificial Intelligence in Healthcare
Papers in
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- AI in cancer detection 5
- Advanced Clustering Algorithms Research 2
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- Face and Expression Recognition 4
- Co-authors
- N. Bhalaji (1 shared paper)S. Kavitha (4 shared papers)S. Karthika (3 shared papers)S. Poornima (1 shared paper)Shivendra Shivani (1 shared paper)S. M. Jaisakthi (3 shared papers)S.P. Sasirekha (1 shared paper)Chandrabose Aravindan (1 shared paper)
- Journals
- Neural Processing Letters (1 paper)Journal of Medical Systems (1 paper)Journal of Intelligent & Fuzzy Systems (1 paper)Genetika (2 papers)TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
S. Mohanavalli
24 papers receiving 285 citations
Peers
Comparison fields: 5 of 72
- Applied Psychology 39
- Health Information Management 28
- Experimental and Cognitive Psychology 60
- Health Informatics 6
- Artificial Intelligence 96
Countries citing papers authored by S. Mohanavalli
This map shows the geographic impact of S. Mohanavalli'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. Mohanavalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Mohanavalli more than expected).
Fields of papers citing papers by S. Mohanavalli
This network shows the impact of papers produced by S. Mohanavalli. 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. Mohanavalli. The network helps show where S. Mohanavalli may publish in the future.
Co-authors
The 8 scholars most cited alongside S. Mohanavalli, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 146 | |
| 2 | 2017 | 28 | |
| 3 | 2020 | 22 | |
| 4 | 2019 | 21 | |
| 5 | 2015 | 19 | |
| 6 | 2017 | 17 | |
| 7 | 2013 | 8 | |
| 8 | 2013 | 7 | |
| 9 | 2018 | 6 | |
| 10 | 2020 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2015 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2018 | 1 |
About S. Mohanavalli
S. Mohanavalli is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Neurology and Computer Networks and Communications, having authored 24 papers that have together received 295 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (5 papers), AI in cancer detection (5 papers), Face and Expression Recognition (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cloud Computing and Resource Management (3 papers), Advanced Clustering Algorithms Research (2 papers), Advanced Database Systems and Queries (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Applied Psychology (39 citations), Health Information Management (28 citations), Experimental and Cognitive Psychology (60 citations), Health Informatics (6 citations) and Artificial Intelligence (96 citations). S. Mohanavalli has collaborated with scholars based in India and United States. Frequent co-authors include N. Bhalaji, S. Kavitha, S. Karthika, S. Poornima, Shivendra Shivani, S. M. Jaisakthi, S.P. Sasirekha and Chandrabose Aravindan. Their work appears in journals such as Neural Processing Letters, Journal of Medical Systems, Journal of Intelligent & Fuzzy Systems, Genetika and TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES.
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.