James Anibal
Impact in
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- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
Papers in
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- Music and Audio Processing 2
- Co-authors
- Ian Crozier (1 shared paper)Jeffrey Solomon (1 shared paper)Ulaş Bağcı (2 shared papers)Winston T. Chu (1 shared paper)Bradford J. Wood (5 shared papers)Syed M. S. Reza (1 shared paper)Phan Nguyen Quoc Khanh (1 shared paper)Alexandre G. R. Day (2 shared papers)
- Journals
- Scientific Reports (1 paper)npj Digital Medicine (1 paper)PLoS Computational Biology (1 paper)The Journal of Infectious Diseases (1 paper)Ultrasound in Medicine & Biology (1 paper)
- Partner nations
- United StatesUnited KingdomVietnam
In The Last Decade
James Anibal
5 papers receiving 18 citations
Peers
Comparison fields: 5 of 20
- Health Informatics 8
- Radiology, Nuclear Medicine and Imaging 11
- Modeling and Simulation 1
- Health Information Management 1
- Computer Vision and Pattern Recognition 4
Countries citing papers authored by James Anibal
This map shows the geographic impact of James Anibal'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 James Anibal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Anibal more than expected).
Fields of papers citing papers by James Anibal
This network shows the impact of papers produced by James Anibal. 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 James Anibal. The network helps show where James Anibal may publish in the future.
Co-authors
The 25 scholars most cited alongside James Anibal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 12 | |
| 2 | 2023 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 |
About James Anibal
James Anibal is a scholar working on Artificial Intelligence, Signal Processing, Biomedical Engineering, Computer Networks and Communications and Molecular Biology, having authored 8 papers that have together received 18 indexed citations. Recurring topics across this work include Music and Audio Processing (2 papers), Single-cell and spatial transcriptomics (1 paper), COVID-19 diagnosis using AI (1 paper), Nanoplatforms for cancer theranostics (1 paper), Cell Image Analysis Techniques (1 paper), Personal Information Management and User Behavior (1 paper), Software Testing and Debugging Techniques (1 paper) and Energy Efficient Wireless Sensor Networks (1 paper). The work is most often cited by research in Health Informatics (8 citations), Radiology, Nuclear Medicine and Imaging (11 citations), Modeling and Simulation (1 citation), Health Information Management (1 citation) and Computer Vision and Pattern Recognition (4 citations). James Anibal has collaborated with scholars based in United States, United Kingdom and Vietnam. Frequent co-authors include Ian Crozier, Jeffrey Solomon, Ulaş Bağcı, Winston T. Chu, Bradford J. Wood, Syed M. S. Reza, Phan Nguyen Quoc Khanh, Alexandre G. R. Day, Pankaj Mehta and Eleanor Stride. Their work appears in journals such as Scientific Reports, npj Digital Medicine, PLoS Computational Biology, The Journal of Infectious Diseases and Ultrasound in Medicine & Biology.
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.