Benjamin Fine
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Geometric and Algebraic Topology 4
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- Machine Learning in Healthcare 3
- Co-authors
- A. Patel (1 shared paper)Kibret Mequanint (1 shared paper)Martin Sandig (1 shared paper)Brian Golden (1 shared paper)Dante Morra (1 shared paper)Joshua Reicher (1 shared paper)Mohamed Abdalla (5 shared papers)David J. Stone (1 shared paper)
- Journals
- CMAJ Open (3 papers)Radiology Artificial Intelligence (2 papers)Proceedings of the American Mathematical Society (2 papers)Canadian Journal of Mathematics (2 papers)Canadian Medical Association Journal (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Benjamin Fine
40 papers receiving 797 citations
Peers
Comparison fields: 5 of 129
- Health Informatics 111
- Biomaterials 156
- Medical Laboratory Technology 11
- Health Information Management 33
- Discrete Mathematics and Combinatorics 24
Countries citing papers authored by Benjamin Fine
This map shows the geographic impact of Benjamin Fine'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 Benjamin Fine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Fine more than expected).
Fields of papers citing papers by Benjamin Fine
This network shows the impact of papers produced by Benjamin Fine. 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 Benjamin Fine. The network helps show where Benjamin Fine may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Fine, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 225 | |
| 2 | 2009 | 109 | |
| 3 | 2017 | 76 | |
| 4 | 2020 | 66 | |
| 5 | 2024 | 41 | |
| 6 | 2022 | 36 | |
| 7 | 2020 | 36 | |
| 8 | 2019 | 29 | |
| 9 | 2023 | 16 | |
| 10 | Underachievers : how they can be helped | 1967 | 16 |
| 11 | 2006 | 16 | |
| 12 | 1988 | 14 | |
| 13 | 2017 | 14 | |
| 14 | 1988 | 13 | |
| 15 | Imaging appropriateness criteria: why Canadian family physicians should care. | 2014 | 13 |
| 16 | 2022 | 12 | |
| 17 | 2023 | 12 | |
| 18 | 1994 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 1975 | 9 |
About Benjamin Fine
Benjamin Fine is a scholar working on Geometry and Topology, Artificial Intelligence, Health Informatics, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 836 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (6 papers), Finite Group Theory Research (4 papers), Geometric and Algebraic Topology (4 papers), graph theory and CDMA systems (4 papers), Radiology practices and education (3 papers), Machine Learning in Healthcare (3 papers), History and Theory of Mathematics (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Informatics (111 citations), Biomaterials (156 citations), Medical Laboratory Technology (11 citations), Health Information Management (33 citations) and Discrete Mathematics and Combinatorics (24 citations). Benjamin Fine has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include A. Patel, Kibret Mequanint, Martin Sandig, Brian Golden, Dante Morra, Joshua Reicher, Mohamed Abdalla, David J. Stone, Leo Anthony Celi and Charles Frohman. Their work appears in journals such as CMAJ Open, Radiology Artificial Intelligence, Proceedings of the American Mathematical Society, Canadian Journal of Mathematics and Canadian Medical Association Journal.
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.