J. Anitha
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
Papers in
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- Digital Imaging for Blood Diseases 3
- Medical Image Segmentation Techniques 2
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- AI in cancer detection 6
- Co-authors
- D. Jude Hemanth (17 shared papers)Daniela Elena Popescu (3 shared papers)M. Kalpana Chowdary (1 shared paper)Antoanela Naaji (1 shared paper)Oana Geman (1 shared paper)Anju Asokan (1 shared paper)Lê Hoàng Sơn (1 shared paper)A. Immanuel Selvakumar (2 shared papers)
In The Last Decade
J. Anitha
21 papers receiving 330 citations
Peers
Comparison fields: 5 of 73
- Neurology 103
- Computer Vision and Pattern Recognition 134
- Experimental and Cognitive Psychology 46
- Artificial Intelligence 103
- Cognitive Neuroscience 54
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 12 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 123 | |
| 2 | 2022 | 66 | |
| 3 | 2020 | 26 | |
| 4 | 2018 | 23 | |
| 5 | 2018 | 22 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 11 | |
| 8 | 2011 | 10 | |
| 9 | 2015 | 9 | |
| 10 | 2017 | 8 | |
| 11 | 2011 | 8 | |
| 12 | 2009 | 7 | |
| 13 | 2021 | 5 | |
| 14 | 2016 | 5 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2019 | 1 |
About J. Anitha
J. Anitha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Oncology and Neurology, having authored 24 papers that have together received 349 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Cutaneous Melanoma Detection and Management (5 papers), Brain Tumor Detection and Classification (4 papers), Obstructive Sleep Apnea Research (4 papers), Retinal Imaging and Analysis (3 papers), Digital Imaging for Blood Diseases (3 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Neurology (103 citations), Computer Vision and Pattern Recognition (134 citations), Experimental and Cognitive Psychology (46 citations), Artificial Intelligence (103 citations) and Cognitive Neuroscience (54 citations). J. Anitha has collaborated with scholars based in India, Romania and Vietnam. Frequent co-authors include D. Jude Hemanth, Daniela Elena Popescu, M. Kalpana Chowdary, Antoanela Naaji, Oana Geman, Anju Asokan, Lê Hoàng Sơn, A. Immanuel Selvakumar, Valentina Emilia Bălaş and Epaminondas Kapetanios. Their work appears in journals such as Electronics, British Journal of Ophthalmology, Computers & Electrical Engineering, Heliyon and IEEE Access.
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.