Phillip L. Reu
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- Optical measurement and interference techniques 40
- Advanced Vision and Imaging 9
- Image and Object Detection Techniques 7
- Media Technology top 1%
- Image Processing Techniques and Applications 26
- Computational Mechanics top 2%
- Mechanics of Materials top 5%
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- Advancements in Photolithography Techniques 22
- Advanced Measurement and Detection Methods 7
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- Advanced Surface Polishing Techniques 11
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- Electron and X-Ray Spectroscopy Techniques 9
- Co-authors
- Daniel R. GuildenbecherJian GaoPascal LavaElizabeth M. C. JonesDaniel Z. TurnerR. BalcaenDimitri DebruyneTimothy J. Miller
- Partner nations
- United StatesBelgiumFinland
In The Last Decade
Phillip L. Reu
82 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 1.0k
- Media Technology 391
- Civil and Structural Engineering 462
- Computational Mechanics 386
- Mechanics of Materials 378
Countries citing papers authored by Phillip L. Reu
This map shows the geographic impact of Phillip L. Reu'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 Phillip L. Reu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip L. Reu more than expected).
Fields of papers citing papers by Phillip L. Reu
This network shows the impact of papers produced by Phillip L. Reu. 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 Phillip L. Reu. The network helps show where Phillip L. Reu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Phillip L. Reu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 17 | |
| 4 | 2022 | 1 | |
| 5 | 2020 | 1 | |
| 6 | 2019 | 30 | |
| 7 | 2019 | 17 | |
| 8 | Synchronization Errors in High-Speed Digital Image Correlation. | 2016 | 1 |
| 9 | 2015 | 19 | |
| 10 | Theoretical analysis on the measurement errors of local 2D DIC: Part I Temporal and spatial uncertainty quanti%0Ccation of displacement measurements. | 2014 | 1 |
| 11 | 2014 | 87 | |
| 12 | 2014 | 1 | |
| 13 | 2014 | 107 | |
| 14 | 2013 | 71 | |
| 15 | 2012 | 13 | |
| 16 | 2006 | 12 | |
| 17 | 2004 | 1 | |
| 18 | 2002 | 4 | |
| 19 | 2001 | 7 | |
| 20 | 2001 | 1 |
About Phillip L. Reu
Phillip L. Reu is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Surfaces, Coatings and Films, having authored 91 papers that have together received 2.0k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (40 papers), Image Processing Techniques and Applications (26 papers), Advancements in Photolithography Techniques (22 papers), Advanced Surface Polishing Techniques (11 papers), Electron and X-Ray Spectroscopy Techniques (9 papers), Advanced Vision and Imaging (9 papers), Image and Object Detection Techniques (7 papers) and Advanced Measurement and Detection Methods (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (391 citations) and Civil and Structural Engineering (462 citations). Phillip L. Reu has collaborated with scholars based in United States, Belgium and Finland. Frequent co-authors include Daniel R. Guildenbecher, Jian Gao, Pascal Lava, Elizabeth M. C. Jones, Daniel Z. Turner, R. Balcaen, Dimitri Debruyne, Timothy J. Miller, Jun Chen and Jun Chen. Their work appears in journals such as Optics Letters, Optics Express and Journal of Applied 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.