Benjamin Fine

1.3k citations
42 papers · 804 · h-index 14

Impact in

Papers in

Benjamin Fine

39 papers receiving 763 citations

Peers

Benjamin Fine
Comparison fields: 5 of 134
  • Health Informatics 119
  • Biomaterials 162
  • Health Information Management 50
  • Medical Laboratory Technology 15
  • Orthopedics and Sports Medicine 66
Replace Alfonso Maria Ponsiglione with:
Alfonso Maria Ponsiglione Italy
P. Chłosta Poland
Naveen Jeyaraman India
Luke Gompels United Kingdom
Shigao Huang China
Katy Blumer United States
Juan M. Durán Spain
Komal Smriti India
Stephen Gilbert Germany
Elsie Ross United States
Benjamin Fine relative to Alfonso Maria Ponsiglione Italy Alfonso Maria Ponsiglione's profile →
Citations per field
00.5×10×13.2×
Alfonso Maria Ponsiglione · 1×
Citations per year

Countries citing papers authored by Benjamin Fine

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Benjamin Fine Line = papers co-authored together Benjamin Fine links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006224
2 2009109
3 201773
4 202060
5 202234
6 202033
7 202431
8 201929
9
Underachievers : how they can be helped
196716
10 200616
11 202315
12 198814
13 201714
14 198813
15
Imaging appropriateness criteria: why Canadian family physicians should care.
201413
16 202312
17 199410
18 19759
19 20229
20 20228

About Benjamin Fine

Benjamin Fine is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Geometry and Topology, Artificial Intelligence and Computational Theory and Mathematics, having authored 42 papers that have together received 804 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (8 papers), Radiology practices and education (6 papers), graph theory and CDMA systems (4 papers), Healthcare cost, quality, practices (4 papers), Finite Group Theory Research (4 papers), Geometric and Algebraic Topology (4 papers), COVID-19 diagnosis using AI (3 papers) and History and Theory of Mathematics (3 papers). The work is most often cited by research in Health Informatics (119 citations), Biomaterials (162 citations), Health Information Management (50 citations), Medical Laboratory Technology (15 citations) and Orthopedics and Sports Medicine (66 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, Mohamed Abdalla, Joshua Reicher, Leo Anthony Celi, David J. Stone and Charles Frohman. Their work appears in journals such as CMAJ Open, Radiology Artificial Intelligence, Canadian Journal of Mathematics, Proceedings of the American Mathematical Society and Nature Communications.

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.

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