C. Gunavathi
Impact in
- Health Information Management top 10%
Papers in
-
- Gene expression and cancer classification 9
- Machine Learning in Bioinformatics 8
- Protein Structure and Dynamics 3
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- AI in cancer detection 9
- Machine Learning and Data Classification 4
- Co-authors
- K. Sivasubramanian (2 shared papers)P. Keerthika (2 shared papers)P. Suresh (3 shared papers)P. Pabitha (1 shared paper)P. Venkatesh (1 shared paper)Xiao Gao (1 shared paper)C. Lavanya (1 shared paper)Ramesh Chand Meena (1 shared paper)
- Journals
- IEEE Access (4 papers)Progress in Biophysics and Molecular Biology (3 papers)Chaos Solitons & Fractals (1 paper)BioMolecular Concepts (1 paper)BMC Medical Informatics and Decision Making (1 paper)
- Partner nations
- India
In The Last Decade
C. Gunavathi
27 papers receiving 298 citations
Peers
Comparison fields: 5 of 93
- Health Informatics 6
- Health Information Management 17
- Artificial Intelligence 122
- Radiology, Nuclear Medicine and Imaging 42
- Information Systems 44
Countries citing papers authored by C. Gunavathi
This map shows the geographic impact of C. Gunavathi'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 C. Gunavathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Gunavathi more than expected).
Fields of papers citing papers by C. Gunavathi
This network shows the impact of papers produced by C. Gunavathi. 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 C. Gunavathi. The network helps show where C. Gunavathi may publish in the future.
Co-authors
The 11 scholars most cited alongside C. Gunavathi, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 47 | |
| 2 | 2014 | 42 | |
| 3 | 2014 | 36 | |
| 4 | 2015 | 35 | |
| 5 | 2020 | 26 | |
| 6 | 2022 | 24 | |
| 7 | 2023 | 18 | |
| 8 | 2018 | 17 | |
| 9 | 2019 | 16 | |
| 10 | 2023 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 3D reconstruction of a scene from multiple 2D images | 2017 | 8 |
| 13 | 2017 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2018 | 6 | |
| 16 | 2024 | 5 | |
| 17 | Classification of Microarray Data Based OnFeature Selection Method | 2014 | 4 |
| 18 | 2018 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 2 |
About C. Gunavathi
C. Gunavathi is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Health Information Management and Computational Theory and Mathematics, having authored 32 papers that have together received 335 indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), AI in cancer detection (9 papers), Machine Learning in Bioinformatics (8 papers), Machine Learning and Data Classification (4 papers), Brain Tumor Detection and Classification (3 papers), Data Mining Algorithms and Applications (3 papers), Protein Structure and Dynamics (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Health Informatics (6 citations), Health Information Management (17 citations), Artificial Intelligence (122 citations), Radiology, Nuclear Medicine and Imaging (42 citations) and Information Systems (44 citations). C. Gunavathi has collaborated with scholars based in India. Frequent co-authors include K. Sivasubramanian, P. Keerthika, P. Suresh, P. Pabitha, P. Venkatesh, Xiao Gao, C. Lavanya, Ramesh Chand Meena, Srinivas Koppu and K. Premalatha. Their work appears in journals such as IEEE Access, Progress in Biophysics and Molecular Biology, Chaos Solitons & Fractals, BioMolecular Concepts and BMC Medical Informatics and Decision Making.
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.