Roberto Mecca
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Image Enhancement Techniques
Papers in
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- Advanced Vision and Imaging 12
- Optical measurement and interference techniques 9
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- Computer Graphics and Visualization Techniques 12
- Co-authors
- Roberto Cipolla (10 shared papers)Alfred M. Bruckstein⋆ (4 shared papers)Ron Kimmel (3 shared papers)Ignas Budvytis (4 shared papers)Maurizio Falcone (1 shared paper)Martí Duocastella (1 shared paper)Yvain Quéau (2 shared papers)Rudra P. K. Poudel (1 shared paper)
- Journals
- SIAM Journal on Imaging Sciences (4 papers)International Journal of Computer Vision (2 papers)Image and Vision Computing (1 paper)Computers & Graphics (1 paper)Journal of Mathematical Imaging and Vision (1 paper)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Roberto Mecca
20 papers receiving 312 citations
Peers
Comparison fields: 5 of 45
- Computer Graphics and Computer-Aided Design 164
- Computer Vision and Pattern Recognition 285
- Geology 54
- Instrumentation 14
- Computational Mechanics 67
Countries citing papers authored by Roberto Mecca
This map shows the geographic impact of Roberto Mecca'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 Roberto Mecca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Mecca more than expected).
Fields of papers citing papers by Roberto Mecca
This network shows the impact of papers produced by Roberto Mecca. 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 Roberto Mecca. The network helps show where Roberto Mecca may publish in the future.
Co-authors
The 20 scholars most cited alongside Roberto Mecca, 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 | 2014 | 56 | |
| 2 | 2021 | 37 | |
| 3 | 2021 | 31 | |
| 4 | 2016 | 28 | |
| 5 | 2017 | 26 | |
| 6 | 2016 | 20 | |
| 7 | 2013 | 19 | |
| 8 | 2022 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 2014 | 14 | |
| 11 | 2014 | 14 | |
| 12 | 2018 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2016 | 7 | |
| 15 | 2013 | 5 | |
| 16 | 2017 | 3 | |
| 17 | PX-NET: Simple, Efficient Pixel-Wise Training of Photometric Stereo Networks | 2020 | 3 |
| 18 | 2023 | 3 | |
| 19 | 2017 | 3 | |
| 20 | 2020 | 2 |
About Roberto Mecca
Roberto Mecca is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Environmental Engineering and Biomedical Engineering, having authored 20 papers that have together received 323 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Computer Graphics and Visualization Techniques (12 papers), Optical measurement and interference techniques (9 papers), 3D Shape Modeling and Analysis (5 papers), Remote Sensing and LiDAR Applications (2 papers), Optical Coherence Tomography Applications (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (164 citations), Computer Vision and Pattern Recognition (285 citations), Geology (54 citations), Instrumentation (14 citations) and Computational Mechanics (67 citations). Roberto Mecca has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Roberto Cipolla, Alfred M. Bruckstein⋆, Ron Kimmel, Ignas Budvytis, Maurizio Falcone, Martí Duocastella, Yvain Quéau, Rudra P. K. Poudel, Stephan Liwicki and Daniel Cremers. Their work appears in journals such as SIAM Journal on Imaging Sciences, International Journal of Computer Vision, Image and Vision Computing, Computers & Graphics and Journal of Mathematical Imaging and Vision.
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.