J. Anitha
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Image and Signal Denoising Methods
Papers in
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- Image and Signal Denoising Methods 12
- Advanced Data Compression Techniques 9
- Medical Image Segmentation Techniques 9
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- Retinal Imaging and Analysis 16
- COVID-19 diagnosis using AI 9
- Co-authors
- Anju Asokan (8 shared papers)D. Jude Hemanth (31 shared papers)J. Dinesh Peter (8 shared papers)Ebenezer Daniel (5 shared papers)S. Immanuel Alex Pandian (12 shared papers)S. Akila Agnes (7 shared papers)Koramadai Karuppusamy Kamaleshwaran (1 shared paper)Lê Hoàng Sơn (3 shared papers)
In The Last Decade
J. Anitha
100 papers receiving 1.5k citations
J. Anitha's Hit Papers
Peers
Comparison fields: 5 of 143
- Media Technology 375
- Computer Vision and Pattern Recognition 539
- Neurology 184
- Radiology, Nuclear Medicine and Imaging 349
- Artificial Intelligence 473
Countries citing papers authored by J. Anitha
This map shows the geographic impact of J. Anitha'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 J. Anitha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Anitha more than expected).
Fields of papers citing papers by J. Anitha
This network shows the impact of papers produced by J. Anitha. 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 J. Anitha. The network helps show where J. Anitha may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Anitha, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Change detection techniques for remote sensing applications: a survey Hit paper breakdown → | 2019 | 280 |
| 2 | 2019 | 121 | |
| 3 | 2017 | 81 | |
| 4 | 2017 | 65 | |
| 5 | 2018 | 65 | |
| 6 | 2021 | 60 | |
| 7 | 2016 | 55 | |
| 8 | 2020 | 53 | |
| 9 | 2018 | 49 | |
| 10 | 2013 | 42 | |
| 11 | 2016 | 40 | |
| 12 | 2022 | 38 | |
| 13 | 2015 | 37 | |
| 14 | 2019 | 36 | |
| 15 | 2015 | 35 | |
| 16 | 2009 | 31 | |
| 17 | 2011 | 28 | |
| 18 | 2013 | 26 | |
| 19 | 2019 | 21 | |
| 20 | 2018 | 18 |
About J. Anitha
J. Anitha is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Media Technology and Neurology, having authored 118 papers that have together received 1.5k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (16 papers), Advanced Image Fusion Techniques (15 papers), Brain Tumor Detection and Classification (12 papers), Image and Signal Denoising Methods (12 papers), COVID-19 diagnosis using AI (9 papers), Video Coding and Compression Technologies (9 papers), Advanced Data Compression Techniques (9 papers) and Medical Image Segmentation Techniques (9 papers). The work is most often cited by research in Media Technology (375 citations), Computer Vision and Pattern Recognition (539 citations), Neurology (184 citations), Radiology, Nuclear Medicine and Imaging (349 citations) and Artificial Intelligence (473 citations). J. Anitha has collaborated with scholars based in India, Romania and Vietnam. Frequent co-authors include Anju Asokan, D. Jude Hemanth, J. Dinesh Peter, Ebenezer Daniel, S. Immanuel Alex Pandian, S. Akila Agnes, Koramadai Karuppusamy Kamaleshwaran, Lê Hoàng Sơn, D. Selvathi and A.A. Solomon. Their work appears in journals such as Computers in Biology and Medicine, Frontiers in Public Health, Neural Computing and Applications, Journal of Medical Systems and International Journal of Imaging Systems and Technology.
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.