Flavio Prieto
Impact in
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- Industrial Vision Systems and Defect Detection
- Manufacturing Process and Optimization
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
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- Optical measurement and interference techniques 12
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- Industrial Vision Systems and Defect Detection 20
- Co-authors
- Pierre Boulanger (40 shared papers)Tanneguy Redarce (12 shared papers)Richard Lepage (11 shared papers)Loïc Brancheriau (10 shared papers)Philippe Lasaygues (8 shared papers)Iván F. Mondragón (5 shared papers)Iván Lizarazo (4 shared papers)Augusto Salazar (7 shared papers)
In The Last Decade
Flavio Prieto
128 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 143
- Industrial and Manufacturing Engineering 242
- Geology 108
- Analytical Chemistry 185
- Computer Vision and Pattern Recognition 324
- Human-Computer Interaction 79
Countries citing papers authored by Flavio Prieto
This map shows the geographic impact of Flavio Prieto'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 Flavio Prieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flavio Prieto more than expected).
Fields of papers citing papers by Flavio Prieto
This network shows the impact of papers produced by Flavio Prieto. 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 Flavio Prieto. The network helps show where Flavio Prieto may publish in the future.
Co-authors
The 25 scholars most cited alongside Flavio Prieto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 113 | |
| 2 | 2018 | 86 | |
| 3 | 2020 | 69 | |
| 4 | 2021 | 67 | |
| 5 | 2002 | 64 | |
| 6 | 2010 | 58 | |
| 7 | 2014 | 55 | |
| 8 | 2020 | 44 | |
| 9 | 2014 | 38 | |
| 10 | 2015 | 37 | |
| 11 | 2022 | 33 | |
| 12 | 2013 | 30 | |
| 13 | 2012 | 29 | |
| 14 | 2006 | 28 | |
| 15 | 2020 | 26 | |
| 16 | 2003 | 25 | |
| 17 | 2018 | 25 | |
| 18 | 2003 | 25 | |
| 19 | 2018 | 23 | |
| 20 | 2020 | 19 |
About Flavio Prieto
Flavio Prieto is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Mechanical Engineering, Geology and Biomedical Engineering, having authored 139 papers that have together received 1.5k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (20 papers), 3D Surveying and Cultural Heritage (16 papers), Spectroscopy and Chemometric Analyses (15 papers), Optical measurement and interference techniques (12 papers), Smart Agriculture and AI (12 papers), Advanced Measurement and Metrology Techniques (12 papers), Robotics and Sensor-Based Localization (12 papers) and Remote Sensing and LiDAR Applications (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (242 citations), Geology (108 citations), Analytical Chemistry (185 citations), Computer Vision and Pattern Recognition (324 citations) and Human-Computer Interaction (79 citations). Flavio Prieto has collaborated with scholars based in Colombia, Canada and France. Frequent co-authors include Pierre Boulanger, Tanneguy Redarce, Richard Lepage, Loïc Brancheriau, Philippe Lasaygues, Iván F. Mondragón, Iván Lizarazo, Augusto Salazar, Édgar Espejo Mora and Carlos Hernández. Their work appears in journals such as Machine Vision and Applications, Computers and Electronics in Agriculture, Expert Systems with Applications, Ultrasonics and Engineering Failure Analysis.
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.