P. Aruna
Impact in
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- Artificial Intelligence in Healthcare
- Ophthalmology top 5%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
Papers in
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- Advanced Steganography and Watermarking Techniques 6
- Image Retrieval and Classification Techniques 6
- Face recognition and analysis 5
- Advanced Image and Video Retrieval Techniques 5
- Digital Imaging for Blood Diseases 3
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- Biometric Identification and Security 8
- Co-authors
- R Priya (1 shared paper)Sanjay Nair (4 shared papers)D. Loganathan (4 shared papers)R. Bhavani (3 shared papers)
- Journals
- Indian Journal of Science and Technology (2 papers)Expert Systems with Applications (2 papers)Egyptian Informatics Journal (1 paper)Journal Of Big Data (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- India
In The Last Decade
P. Aruna
33 papers receiving 279 citations
Peers
Comparison fields: 5 of 60
- Health Information Management 75
- Ophthalmology 83
- Radiology, Nuclear Medicine and Imaging 158
- Computer Vision and Pattern Recognition 133
- Signal Processing 29
Countries citing papers authored by P. Aruna
This map shows the geographic impact of P. Aruna'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 P. Aruna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Aruna more than expected).
Fields of papers citing papers by P. Aruna
This network shows the impact of papers produced by P. Aruna. 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 P. Aruna. The network helps show where P. Aruna may publish in the future.
Co-authors
The 4 scholars most cited alongside P. Aruna, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 71 | |
| 2 | 2012 | 58 | |
| 3 | 2005 | 31 | |
| 4 | 2014 | 24 | |
| 5 | 2012 | 23 | |
| 6 | 2011 | 22 | |
| 7 | 2015 | 17 | |
| 8 | 2006 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2024 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2013 | 4 | |
| 13 | 2013 | 4 | |
| 14 | Fast Search Strategies using Optimization for Fractal Image Compression | 2013 | 4 |
| 15 | 2020 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2017 | 3 |
About P. Aruna
P. Aruna is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Information Systems, having authored 35 papers that have together received 318 indexed citations. Recurring topics across this work include Biometric Identification and Security (8 papers), Advanced Steganography and Watermarking Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers), Retinal Imaging and Analysis (5 papers), Face recognition and analysis (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Digital Imaging for Blood Diseases (3 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Health Information Management (75 citations), Ophthalmology (83 citations), Radiology, Nuclear Medicine and Imaging (158 citations), Computer Vision and Pattern Recognition (133 citations) and Signal Processing (29 citations). P. Aruna has collaborated with scholars based in India. Frequent co-authors include R Priya, Sanjay Nair, D. Loganathan and R. Bhavani. Their work appears in journals such as Indian Journal of Science and Technology, Expert Systems with Applications, Egyptian Informatics Journal, Journal Of Big Data and Multimedia Tools and Applications.
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.