Bryan E. Schmidt

792 citations
54 papers · 539 indexed · h-index 12

Impact in

Papers in

Bryan E. Schmidt

46 papers receiving 503 citations

Peers

Bryan E. Schmidt
Comparison fields: 5 of 61
  • Computational Mechanics 406
  • Applied Mathematics 101
  • Aerospace Engineering 148
  • Computer Vision and Pattern Recognition 115
  • Environmental Engineering 60
Replace Kyle P. Lynch with:
Kyle P. Lynch United States
Friedrich Leopold France
Sabine Roller Germany
Qingdong Cai China
Sivaram Gogineni United States
Brett F. Bathel United States
Patrick Fischer France
Aldo Bonfiglioli Italy
Nick J. Parziale United States
Leonard M. Weinstein United States
Bryan E. Schmidt relative to Kyle P. Lynch United States Kyle P. Lynch's profile →
Citations per field
00.5×
Kyle P. Lynch · 1×
Citations per year

Countries citing papers authored by Bryan E. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Bryan E. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan E. Schmidt. 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 Bryan E. Schmidt. The network helps show where Bryan E. Schmidt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196987
2 201578
3 202044
4 201943
5 202341
6 202020
7 201519
8 202119
9 202118
10 202014
11 201512
12 202112
13 201511
14 20239
15 20129
16 20209
17 20238
18 20198
19 20227
20 20227

About Bryan E. Schmidt

Bryan E. Schmidt is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Environmental Engineering, Aerospace Engineering and Mechanics of Materials, having authored 54 papers that have together received 539 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (30 papers), Wind and Air Flow Studies (11 papers), Advanced Image Processing Techniques (11 papers), Advanced Vision and Imaging (11 papers), Combustion and flame dynamics (8 papers), Particle Dynamics in Fluid Flows (7 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and Gas Dynamics and Kinetic Theory (6 papers). The work is most often cited by research in Computational Mechanics (406 citations), Applied Mathematics (101 citations), Aerospace Engineering (148 citations), Computer Vision and Pattern Recognition (115 citations) and Environmental Engineering (60 citations). Bryan E. Schmidt has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jeffrey A. Sutton, J. E. Shepherd, Timothy A. Sipkens, Samuel J. Grauer, L. Venkatakrishnan, H. G. Hornung, A. Skiba, Neal Bitter, Stephen D. Hammack and Nick J. Parziale. Their work appears in journals such as Experiments in Fluids, AIAA Journal, Measurement Science and Technology, Journal of Biomechanical Engineering and Journal of Fluid Mechanics.

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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