E. Priya
Impact in
- Media Technology top 5%
- Image Processing Techniques and Applications
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- Digital Imaging for Blood Diseases 8
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- Image Processing Techniques and Applications 12
- Co-authors
- S. Srinivasan (10 shared papers)V. Rajinikanth (2 shared papers)Kannan Ranganathan (1 shared paper)Ramakrishnan Swaminathan (1 shared paper)Fuhua Lin (1 shared paper)A. Sharmila (1 shared paper)A. Sharmila (3 shared papers)P. Jayarajan (1 shared paper)
- Journals
- Journal of Applied Biomedicine (2 papers)Microscopy and Microanalysis (1 paper)International Journal of Infectious Diseases (1 paper)IEEE Pulse (1 paper)Journal of Oral Pathology and Medicine (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
E. Priya
28 papers receiving 172 citations
Peers
Comparison fields: 5 of 65
- Media Technology 60
- Biophysics 37
- Computer Vision and Pattern Recognition 57
- Rheumatology 32
- Urology 13
Countries citing papers authored by E. Priya
This map shows the geographic impact of E. Priya'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 E. Priya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Priya more than expected).
Fields of papers citing papers by E. Priya
This network shows the impact of papers produced by E. Priya. 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 E. Priya. The network helps show where E. Priya may publish in the future.
Co-authors
The 21 scholars most cited alongside E. Priya, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 38 | |
| 2 | 2016 | 35 | |
| 3 | 2020 | 24 | |
| 4 | 2014 | 20 | |
| 5 | 2022 | 8 | |
| 6 | 2017 | 7 | |
| 7 | 2020 | 7 | |
| 8 | 2013 | 6 | |
| 9 | 2015 | 6 | |
| 10 | Analysis Of Energy Detection Spectrum Sensing Technique In Cognitive Radio | 2020 | 5 |
| 11 | 2014 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2021 | 2 |
About E. Priya
E. Priya is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biomedical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 40 papers that have together received 207 indexed citations. Recurring topics across this work include Image Processing Techniques and Applications (12 papers), Digital Imaging for Blood Diseases (8 papers), EEG and Brain-Computer Interfaces (6 papers), Non-Invasive Vital Sign Monitoring (5 papers), Muscle activation and electromyography studies (5 papers), Neuroscience and Neural Engineering (4 papers), IoT-based Smart Home Systems (3 papers) and Phonocardiography and Auscultation Techniques (3 papers). The work is most often cited by research in Media Technology (60 citations), Biophysics (37 citations), Computer Vision and Pattern Recognition (57 citations), Rheumatology (32 citations) and Urology (13 citations). E. Priya has collaborated with scholars based in India, United States and Germany. Frequent co-authors include S. Srinivasan, V. Rajinikanth, Kannan Ranganathan, Ramakrishnan Swaminathan, Fuhua Lin, A. Sharmila, A. Sharmila, P. Jayarajan, Hong Lin and S. Ramakrishnan. Their work appears in journals such as Journal of Applied Biomedicine, Microscopy and Microanalysis, International Journal of Infectious Diseases, IEEE Pulse and Journal of Oral Pathology and Medicine.
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.