Rodrigo Marcuzzi
Impact in
- Geology top 10%
- 3D Surveying and Cultural Heritage
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
Papers in
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- Advanced Neural Network Applications 5
- Advanced Vision and Imaging 3
- Human Pose and Action Recognition 3
- Video Surveillance and Tracking Methods 2
-
- Robotics and Sensor-Based Localization 8
- Co-authors
- Jens Behley (14 shared papers)Cyrill Stachniss (14 shared papers)Lucas Nunes (9 shared papers)Xieyuanli Chen (4 shared papers)Louis Wiesmann (8 shared papers)Benedikt Mersch (3 shared papers)Ignacio Vizzo (3 shared papers)Federico Magistri (3 shared papers)
- Journals
- IEEE Robotics and Automation Letters (9 papers)2022 International Conference on Robotics and Automation (ICRA) (1 paper)
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Rodrigo Marcuzzi
12 papers receiving 264 citations
Peers
Comparison fields: 5 of 36
- Geology 62
- Computer Vision and Pattern Recognition 151
- Environmental Engineering 100
- Aerospace Engineering 104
- Instrumentation 14
Countries citing papers authored by Rodrigo Marcuzzi
This map shows the geographic impact of Rodrigo Marcuzzi'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 Rodrigo Marcuzzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rodrigo Marcuzzi more than expected).
Fields of papers citing papers by Rodrigo Marcuzzi
This network shows the impact of papers produced by Rodrigo Marcuzzi. 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 Rodrigo Marcuzzi. The network helps show where Rodrigo Marcuzzi may publish in the future.
Co-authors
The 11 scholars most cited alongside Rodrigo Marcuzzi, 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 | 2022 | 74 | |
| 2 | 2022 | 51 | |
| 3 | 2023 | 33 | |
| 4 | 2022 | 20 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 16 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2024 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About Rodrigo Marcuzzi
Rodrigo Marcuzzi is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Environmental Engineering, Computational Mechanics and Plant Science, having authored 14 papers that have together received 276 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Remote Sensing and LiDAR Applications (5 papers), Advanced Neural Network Applications (5 papers), 3D Shape Modeling and Analysis (4 papers), Advanced Vision and Imaging (3 papers), Human Pose and Action Recognition (3 papers), Smart Agriculture and AI (3 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Geology (62 citations), Computer Vision and Pattern Recognition (151 citations), Environmental Engineering (100 citations), Aerospace Engineering (104 citations) and Instrumentation (14 citations). Rodrigo Marcuzzi has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Jens Behley, Cyrill Stachniss, Lucas Nunes, Xieyuanli Chen, Louis Wiesmann, Benedikt Mersch, Ignacio Vizzo, Federico Magistri, Aljoša Ošep and Laura Leal-Taixé. Their work appears in journals such as IEEE Robotics and Automation Letters and 2022 International Conference on Robotics and Automation (ICRA).
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.