Alberto Pretto
Impact in
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization
- Inertial Sensor and Navigation
Papers in
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- Advanced Vision and Imaging 17
- Advanced Image and Video Retrieval Techniques 13
- Video Surveillance and Tracking Methods 6
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- Robotics and Sensor-Based Localization 28
- Co-authors
- Emanuele Menegatti (28 shared papers)Ciro Potena (7 shared papers)Daniele Nardi (7 shared papers)Enrico Pagello (9 shared papers)Domenico D. Bloisi (5 shared papers)Mulham Fawakherji (4 shared papers)Giorgio Grisetti (4 shared papers)Ali Youssef (1 shared paper)
In The Last Decade
Alberto Pretto
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 411
- Aerospace Engineering 466
- Plant Science 475
- Geology 71
- Analytical Chemistry 82
Countries citing papers authored by Alberto Pretto
This map shows the geographic impact of Alberto Pretto'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 Alberto Pretto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Pretto more than expected).
Fields of papers citing papers by Alberto Pretto
This network shows the impact of papers produced by Alberto Pretto. 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 Alberto Pretto. The network helps show where Alberto Pretto may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Pretto, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 194 | |
| 2 | 2017 | 140 | |
| 3 | 2017 | 132 | |
| 4 | 2019 | 97 | |
| 5 | 2021 | 80 | |
| 6 | 2019 | 77 | |
| 7 | 2006 | 77 | |
| 8 | 2009 | 61 | |
| 9 | 2015 | 34 | |
| 10 | 2020 | 29 | |
| 11 | 2013 | 28 | |
| 12 | 2014 | 25 | |
| 13 | 2019 | 23 | |
| 14 | 2011 | 21 | |
| 15 | 2005 | 20 | |
| 16 | 2010 | 17 | |
| 17 | 2005 | 15 | |
| 18 | 2010 | 12 | |
| 19 | Calibration and performance evaluation of low-cost IMUs | 2014 | 11 |
| 20 | 2010 | 11 |
About Alberto Pretto
Alberto Pretto is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Plant Science, Control and Systems Engineering and Environmental Engineering, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (28 papers), Advanced Vision and Imaging (17 papers), Advanced Image and Video Retrieval Techniques (13 papers), Smart Agriculture and AI (7 papers), 3D Surveying and Cultural Heritage (6 papers), Remote Sensing and LiDAR Applications (6 papers), Video Surveillance and Tracking Methods (6 papers) and Modular Robots and Swarm Intelligence (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (411 citations), Aerospace Engineering (466 citations), Plant Science (475 citations), Geology (71 citations) and Analytical Chemistry (82 citations). Alberto Pretto has collaborated with scholars based in Italy, Japan and Germany. Frequent co-authors include Emanuele Menegatti, Ciro Potena, Daniele Nardi, Enrico Pagello, Domenico D. Bloisi, Mulham Fawakherji, Giorgio Grisetti, Ali Youssef, Raghav Khanna and Roland Siegwart. Their work appears in journals such as IEEE Robotics and Automation Letters, Robotics and Autonomous Systems, IEEE Transactions on Robotics, Lecture notes in computer science and Entropy.
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.