Gurram Sunitha
Impact in
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- Digital Imaging for Blood Diseases
- Face recognition and analysis
- Advanced Neural Network Applications
Papers in
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- AI in cancer detection 5
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- Advanced Neural Network Applications 3
- Co-authors
- S. Neelakandan (2 shared papers)Rajesh Arunachalam (3 shared papers)J. Avanija (9 shared papers)K. Reddy Madhavi (8 shared papers)Vinay Kumar Nassa (1 shared paper)B. T. Geetha (1 shared paper)Vinay Kumar (1 shared paper)Ahmed Nabih Zaki Rashed (1 shared paper)
- Journals
- Multimedia Tools and Applications (2 papers)Image and Vision Computing (1 paper)International Journal of Imaging Systems and Technology (1 paper)Computers & Electrical Engineering (1 paper)Knowledge and Information Systems (1 paper)
- Partner nations
- IndiaSaudi ArabiaEgypt
In The Last Decade
Gurram Sunitha
21 papers receiving 173 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 74
- Media Technology 16
- Artificial Intelligence 56
- Health Information Management 8
- Neurology 13
Countries citing papers authored by Gurram Sunitha
This map shows the geographic impact of Gurram Sunitha'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 Gurram Sunitha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gurram Sunitha more than expected).
Fields of papers citing papers by Gurram Sunitha
This network shows the impact of papers produced by Gurram Sunitha. 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 Gurram Sunitha. The network helps show where Gurram Sunitha may publish in the future.
Co-authors
The 25 scholars most cited alongside Gurram Sunitha, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 55 | |
| 2 | 2022 | 45 | |
| 3 | 2021 | 23 | |
| 4 | 2022 | 18 | |
| 5 | 2022 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2023 | 1 |
About Gurram Sunitha
Gurram Sunitha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Plant Science and Health Information Management, having authored 26 papers that have together received 196 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Smart Agriculture and AI (5 papers), COVID-19 diagnosis using AI (3 papers), Advanced Neural Network Applications (3 papers), Artificial Intelligence in Healthcare (3 papers), Industrial Vision Systems and Defect Detection (2 papers), Brain Tumor Detection and Classification (2 papers) and Vehicle License Plate Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (74 citations), Media Technology (16 citations), Artificial Intelligence (56 citations), Health Information Management (8 citations) and Neurology (13 citations). Gurram Sunitha has collaborated with scholars based in India, Saudi Arabia and Egypt. Frequent co-authors include S. Neelakandan, Rajesh Arunachalam, J. Avanija, K. Reddy Madhavi, Vinay Kumar Nassa, B. T. Geetha, Vinay Kumar, Ahmed Nabih Zaki Rashed, Mahmoud M. A. Eid and Mohammed Abd‐Elnaby. Their work appears in journals such as Multimedia Tools and Applications, Image and Vision Computing, International Journal of Imaging Systems and Technology, Computers & Electrical Engineering and Knowledge and Information Systems.
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.