M. Sreedevi
Impact in
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- Artificial Intelligence in Healthcare
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- Imbalanced Data Classification Techniques
- Evolutionary Algorithms and Applications
Papers in
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- Imbalanced Data Classification Techniques 8
- Algorithms and Data Compression 3
- Machine Learning and Data Classification 3
- Text and Document Classification Technologies 3
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- Data Mining Algorithms and Applications 13
- Co-authors
- P. S. Harikumar (2 shared papers)L. S. S. Reddy (3 shared papers)Usharani Bhimavarapu (2 shared papers)Gopi Battineni (1 shared paper)Nalini Chintalapudi (1 shared paper)Munesh Kumar (1 shared paper)Y. C. A. Padmanabha Reddy (1 shared paper)Azath Mubarakali (1 shared paper)
- Journals
- Indian Journal of Science and Technology (2 papers)Distributed and Parallel Databases (1 paper)Journal of Engineering Science and Technology Review (3 papers)Clinical Epidemiology and Global Health (2 papers)Regional Studies in Marine Science (2 papers)
- Partner nations
- IndiaItalySaudi Arabia
In The Last Decade
M. Sreedevi
33 papers receiving 192 citations
Peers
Comparison fields: 5 of 66
- Health Information Management 26
- Artificial Intelligence 86
- Health, Toxicology and Mutagenesis 26
- Pollution 22
- Health Informatics 2
Countries citing papers authored by M. Sreedevi
This map shows the geographic impact of M. Sreedevi'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 M. Sreedevi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Sreedevi more than expected).
Fields of papers citing papers by M. Sreedevi
This network shows the impact of papers produced by M. Sreedevi. 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 M. Sreedevi. The network helps show where M. Sreedevi may publish in the future.
Co-authors
The 12 scholars most cited alongside M. Sreedevi, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 37 | |
| 2 | 2018 | 33 | |
| 3 | 2018 | 20 | |
| 4 | 2016 | 20 | |
| 5 | 2016 | 15 | |
| 6 | 2022 | 9 | |
| 7 | 2017 | 7 | |
| 8 | 2013 | 7 | |
| 9 | 2018 | 5 | |
| 10 | 2018 | 4 | |
| 11 | 2021 | 4 | |
| 12 | A Novel Cluster of Quarter Feature Selection Based on Symmetrical Uncertainty | 2018 | 3 |
| 13 | Correlation Coefficient Based Candidate Feature Selection Framework Using Graph Construction | 2018 | 3 |
| 14 | 2022 | 3 | |
| 15 | 2017 | 3 | |
| 16 | Parallel and Distributed Closed Regular Pattern Mining in Large Databases | 2013 | 3 |
| 17 | 2022 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2021 | 2 |
About M. Sreedevi
M. Sreedevi is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Health Information Management, having authored 38 papers that have together received 200 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (13 papers), Imbalanced Data Classification Techniques (8 papers), Rough Sets and Fuzzy Logic (7 papers), Artificial Intelligence in Healthcare (6 papers), Face and Expression Recognition (4 papers), Algorithms and Data Compression (3 papers), Machine Learning and Data Classification (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Health Information Management (26 citations), Artificial Intelligence (86 citations), Health, Toxicology and Mutagenesis (26 citations), Pollution (22 citations) and Health Informatics (2 citations). M. Sreedevi has collaborated with scholars based in India, Italy and Saudi Arabia. Frequent co-authors include P. S. Harikumar, L. S. S. Reddy, Usharani Bhimavarapu, Gopi Battineni, Nalini Chintalapudi, Munesh Kumar, Y. C. A. Padmanabha Reddy, Azath Mubarakali, D. Saravanan and Dinesh Kumar Anguraj. Their work appears in journals such as Indian Journal of Science and Technology, Distributed and Parallel Databases, Journal of Engineering Science and Technology Review, Clinical Epidemiology and Global Health and Regional Studies in Marine Science.
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.