Ryan Berke

35 papers receiving 312 citations

Peers

Ryan Berke
Comparison fields: 5 of 42
  • Computer Vision and Pattern Recognition 210
  • Media Technology 78
  • Instrumentation 19
  • Mechanics of Materials 68
  • Mechanical Engineering 84
Replace Gerhard Kupfer with:
Gerhard Kupfer Germany
Vignesh Suresh United States
Wolfgang Steinchen Germany
Markus Kästner Germany
Akikazu Kitagawa Japan
L. Liu Hong Kong
Matias Roberto Viotti Brazil
Johannes Schlarp Austria
Reinhard Danzl United Kingdom
Yang Bu China
Ryan Berke relative to Gerhard Kupfer Germany Gerhard Kupfer's profile →
Citations per field
00.5×5×10×12.8×
Gerhard Kupfer · 1×
Citations per year

Countries citing papers authored by Ryan Berke

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Berke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan Berke. 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 Ryan Berke. The network helps show where Ryan Berke may publish in the future.

Co-authors

The 23 scholars most cited alongside Ryan Berke, 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 Ryan Berke Line = papers co-authored together Ryan Berke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201489
2 201529
3 201925
4 202020
5 202117
6 201916
7 202210
8 202110
9 20189
10 20229
11 20249
12 20218
13 20217
14 20227
15 20216
16 20176
17 20205
18 20215
19 20215
20 20135

About Ryan Berke

Ryan Berke is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Mechanical Engineering, Mechanics of Materials and Civil and Structural Engineering, having authored 38 papers that have together received 323 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (17 papers), Image Processing Techniques and Applications (9 papers), Optical Systems and Laser Technology (6 papers), Structural Health Monitoring Techniques (5 papers), Advancements in Solid Oxide Fuel Cells (4 papers), Non-Destructive Testing Techniques (4 papers), Fatigue and fracture mechanics (3 papers) and Advanced Measurement and Metrology Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (210 citations), Media Technology (78 citations), Instrumentation (19 citations), Mechanics of Materials (68 citations) and Mechanical Engineering (84 citations). Ryan Berke has collaborated with scholars based in United States, Vietnam and United Kingdom. Frequent co-authors include John Lambros, Robert S. Hansen, Paul Gradl, Benjamin David Hill, Eann A. Patterson, Ethan K. Nickerson, Robert J. Rowley, Ravi Chona, Mark E. Walter and Tadd Truscott. Their work appears in journals such as Experimental Mechanics, Measurement Science and Technology, Review of Scientific Instruments, Journal of Testing and Evaluation and The Journal of Strain Analysis for Engineering Design.

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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