Brandon M. Smith

872 citations
24 papers · 528 · h-index 11

Impact in

Papers in

Brandon M. Smith

23 papers receiving 513 citations

Peers

Brandon M. Smith
Comparison fields: 5 of 74
  • Acoustics and Ultrasonics 24
  • Computer Vision and Pattern Recognition 293
  • Instrumentation 46
  • Radiation 54
  • Media Technology 48
Replace Tomoya Nakamura with:
Tomoya Nakamura Japan
Steven D. Feller United States
Todor Georgiev United States
P. Ottonello Italy
Dikpal Reddy United States
James Gregson Canada
Raghava Kondepudy United States
Jiemin Hu China
Shuochen Su Canada
Samuel Pinilla Colombia
Brandon M. Smith relative to Tomoya Nakamura Japan Tomoya Nakamura's profile →
Citations per field
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Citations per year

Countries citing papers authored by Brandon M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Brandon M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brandon M. Smith. 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 Brandon M. Smith. The network helps show where Brandon M. Smith may publish in the future.

Co-authors

The 25 scholars most cited alongside Brandon M. Smith, 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 Brandon M. Smith Line = papers co-authored together Brandon M. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201399
2 200975
3 201064
4 201446
5 201845
6 201838
7 200936
8
Acceleration techniques for direct use of CAD-based geometries in Monte Carlo radiation transport
200929
9 201725
10 201015
11 201111
12 200710
13 20099
14 20095
15 20105
16 20113
17 20073
18 20242
19 20112
20 20162

About Brandon M. Smith

Brandon M. Smith is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Radiation, Materials Chemistry and Instrumentation, having authored 24 papers that have together received 528 indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (7 papers), Nuclear Physics and Applications (6 papers), Face recognition and analysis (5 papers), Advanced Vision and Imaging (4 papers), Face and Expression Recognition (3 papers), Fusion materials and technologies (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Optical measurement and interference techniques (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (24 citations), Computer Vision and Pattern Recognition (293 citations), Instrumentation (46 citations), Radiation (54 citations) and Media Technology (48 citations). Brandon M. Smith has collaborated with scholars based in United States. Frequent co-authors include Li Zhang, Hailin Jin, Zhe Lin, Jonathan Brandt, Paul Wilson, Aseem Agarwala, Mohit Gupta, Timothy J. Tautges, D.L. Henderson and Matthew O’Toole. Their work appears in journals such as Fusion Science & Technology, Fusion Engineering and Design, Optometry and Vision Science, ACM Transactions on Graphics and PLoS ONE.

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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