Matia Pizzoli
- Aerospace Engineering top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Geology top 0.5%
- Electrical and Electronic Engineering top 10%
- Ocean Engineering top 5%
- Co-authors
- Davide ScaramuzzaChristian FörsterFlavio FontanaMatthias FaesslerElias MuegglerFiora PirriAlessandro RudiArnab Sinha
- Topics
- Advanced Vision and Imaging (5 papers)Robotics and Sensor-Based Localization (5 papers)3D Surveying and Cultural Heritage (2 papers)
- Journals
- Journal of Field RoboticsBiologically Inspired Cognitive ArchitecturesZurich Open Repository and Archive (University of Zurich)
- Partner nations
- SwitzerlandItaly
In The Last Decade
Matia Pizzoli
9 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Aerospace Engineering 1.8k
- Computer Vision and Pattern Recognition 1.5k
- Geology 526
- Electrical and Electronic Engineering 365
- Ocean Engineering 147
Countries citing papers authored by Matia Pizzoli
This map shows the geographic impact of Matia Pizzoli'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 Matia Pizzoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matia Pizzoli more than expected).
Fields of papers citing papers by Matia Pizzoli
This network shows the impact of papers produced by Matia Pizzoli. 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 Matia Pizzoli. The network helps show where Matia Pizzoli may publish in the future.
Co-authorship network of co-authors of Matia Pizzoli
This figure shows the co-authorship network connecting the top 25 collaborators of Matia Pizzoli. A scholar is included among the top collaborators of Matia Pizzoli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matia Pizzoli. Matia Pizzoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 174 | |
| 2 | 237 | |
| 3 | SVO: Fast semi-direct monocular visual odometrybreakdown → | 1426 |
| 4 | 32 | |
| 5 | 9 | |
| 6 | 62 | |
| 7 | Awareness in Mixed Initiative Planning | 3 |
| 8 | 31 | |
| 9 | 7 |
About Matia Pizzoli
Matia Pizzoli is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Geology, having authored 9 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (5 papers) and 3D Surveying and Cultural Heritage (2 papers). The work is most often cited by research in Geology (526 citations), Computer Vision and Pattern Recognition (1.5k citations) and Aerospace Engineering (1.8k citations). Matia Pizzoli has collaborated with scholars based in Switzerland and Italy. Frequent co-authors include Davide Scaramuzza, Christian Förster, Christian Förster, Flavio Fontana, Matthias Faessler, Elias Mueggler, Fiora Pirri, Alessandro Rudi, Arnab Sinha and Mario Gianni. Their work appears in journals such as Journal of Field Robotics, Biologically Inspired Cognitive Architectures and Zurich Open Repository and Archive (University of Zurich).
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.