C. Gunavathi
Impact in
- Health Information Management top 10%
Papers in
-
- Artificial Intelligence in Healthcare 3
- Co-authors
- K. PremalathaK. SivasubramanianP. KeerthikaP. SureshP. PabithaXiao GaoC. LavanyaP. Venkatesh
- Journals
- IEEE Access (4 papers)Progress in Biophysics and Molecular Biology (3 papers)Sustainable Computing Informatics and Systems (1 paper)Chaos Solitons & Fractals (1 paper)BMC Medical Informatics and Decision Making (1 paper)
- Partner nations
- India
In The Last Decade
C. Gunavathi
24 papers receiving 249 citations
Peers
Comparison fields: 5 of 86
- Health Informatics 5
- Health Information Management 16
- Artificial Intelligence 110
- Radiology, Nuclear Medicine and Imaging 40
- Information Systems 38
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-authorship network
The 12 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 16 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 23 | |
| 13 | 2022 | 38 | |
| 14 | 2021 | 8 | |
| 15 | 2019 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 3D reconstruction of a scene from multiple 2D images | 2017 | 5 |
| 18 | 2017 | 2 | |
| 19 | Classification of Microarray Data Based OnFeature Selection Method | 2014 | 4 |
| 20 | 2014 | 41 |
About C. Gunavathi
C. Gunavathi is a scholar working on Health Informatics, Health Information Management, Artificial Intelligence, Neurology and Molecular Biology, having authored 29 papers that have together received 282 indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), Machine Learning in Bioinformatics (8 papers), AI in cancer detection (7 papers), Machine Learning and Data Classification (4 papers), Protein Structure and Dynamics (3 papers), Brain Tumor Detection and Classification (3 papers), Artificial Intelligence in Healthcare (3 papers) and Fractal and DNA sequence analysis (3 papers). The work is most often cited by research in Health Informatics (5 citations), Health Information Management (16 citations), Artificial Intelligence (110 citations), Radiology, Nuclear Medicine and Imaging (40 citations) and Information Systems (38 citations). C. Gunavathi has collaborated with scholars based in India. Frequent co-authors include K. Premalatha, K. Sivasubramanian, P. Keerthika, P. Suresh, P. Pabitha, Xiao Gao, C. Lavanya, P. Venkatesh, Ramesh Chand Meena and Srinivas Koppu. Their work appears in journals such as IEEE Access, Progress in Biophysics and Molecular Biology, Sustainable Computing Informatics and Systems, Chaos Solitons & Fractals 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.