Brian C. Becker

979 citations
25 papers · 713 · h-index 13

Impact in

Papers in

Brian C. Becker

24 papers receiving 680 citations

Peers

Brian C. Becker
Comparison fields: 5 of 75
  • Ophthalmology 139
  • Computer Vision and Pattern Recognition 207
  • Radiology, Nuclear Medicine and Imaging 231
  • Biomedical Engineering 321
  • Signal Processing 39
Replace Xiaofei Wang with:
Xiaofei Wang China
Yevgeny Beiderman Israel
Lüder A. Kahrs Germany
Juan J. Cerrolaza United States
Guoli Song China
Chuchart Pintavirooj Thailand
Abouzar Eslami Germany
Win Tun Latt Singapore
Ali Mahloojifar Iran
Didier Wolf France
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Citations per field
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Xiaofei Wang · 1×
Citations per year

Countries citing papers authored by Brian C. Becker

Since Specialization
Citations

This map shows the geographic impact of Brian C. Becker'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 Brian C. Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian C. Becker more than expected).

Fields of papers citing papers by Brian C. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian C. Becker. 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 Brian C. Becker. The network helps show where Brian C. Becker may publish in the future.

Co-authors

The 24 scholars most cited alongside Brian C. Becker, 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 Brian C. Becker Line = papers co-authored together Brian C. Becker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011204
2 201366
3 201362
4 200847
5 201043
6 201339
7 201036
8 201731
9 200629
10 201226
11 201023
12 201120
13 200817
14 201212
15 201312
16 201210
17 20098
18 20127
19 20115
20 20045

About Brian C. Becker

Brian C. Becker is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology and Surgery, having authored 25 papers that have together received 713 indexed citations. Recurring topics across this work include Soft Robotics and Applications (10 papers), Retinal and Macular Surgery (9 papers), Retinal Imaging and Analysis (4 papers), Intraocular Surgery and Lenses (4 papers), Face and Expression Recognition (3 papers), Robotics and Sensor-Based Localization (3 papers), Anatomy and Medical Technology (3 papers) and Face recognition and analysis (3 papers). The work is most often cited by research in Ophthalmology (139 citations), Computer Vision and Pattern Recognition (207 citations), Radiology, Nuclear Medicine and Imaging (231 citations), Biomedical Engineering (321 citations) and Signal Processing (39 citations). Brian C. Becker has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Cameron N. Riviere, Enrique Ortiz, Robert A. MacLachlan, Louis A. Lobes, Gregg Podnar, Gregory D. Hager, Sungwook Yang, Simon R. Phillpot, Patrick K. Schelling and Nanci Yuan. Their work appears in journals such as IEEE Transactions on Robotics, Journal of Applied Physics, Lasers in Surgery and Medicine, Journal of Child Neurology and Computer Vision and Image Understanding.

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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