Federico Magistri
- Plant Science top 10%
- Environmental Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Ecology
- Aerospace Engineering
- Co-authors
- Cyrill StachnissJens BehleyNived ChebroluThomas LäbeMarija PopovićTiziano GuadagninoRadu Alexandru RoşuJens Léon
- Topics
- Smart Agriculture and AI (23 papers)Remote Sensing and LiDAR Applications (9 papers)Remote Sensing in Agriculture (7 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Robotics
- Partner nations
- GermanyUnited KingdomItaly
In The Last Decade
Federico Magistri
30 papers receiving 474 citations
Peers
Comparison fields: 5 of 58
- Plant Science 324
- Environmental Engineering 167
- Computer Vision and Pattern Recognition 132
- Ecology 113
- Aerospace Engineering 64
Countries citing papers authored by Federico Magistri
This map shows the geographic impact of Federico Magistri'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 Federico Magistri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Magistri more than expected).
Fields of papers citing papers by Federico Magistri
This network shows the impact of papers produced by Federico Magistri. 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 Federico Magistri. The network helps show where Federico Magistri may publish in the future.
Co-authorship network of co-authors of Federico Magistri
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Magistri. A scholar is included among the top collaborators of Federico Magistri 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 Federico Magistri. Federico Magistri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 22 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 18 | |
| 9 | 19 | |
| 10 | 13 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 23 | |
| 14 | 6 | |
| 15 | 34 | |
| 16 | 8 | |
| 17 | 80 | |
| 18 | 32 | |
| 19 | 14 | |
| 20 | 39 |
About Federico Magistri
Federico Magistri is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Plant Science, having authored 32 papers that have together received 492 indexed citations. Recurring topics across this work include Smart Agriculture and AI (23 papers), Remote Sensing and LiDAR Applications (9 papers) and Remote Sensing in Agriculture (7 papers). The work is most often cited by research in Environmental Engineering (167 citations), Plant Science (324 citations) and Geology (40 citations). Federico Magistri has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Cyrill Stachniss, Jens Behley, Nived Chebrolu, Thomas Läbe, Marija Popović, Tiziano Guadagnino, Radu Alexandru Roşu, Jens Léon, Heiner Kuhlmann and Stefan Paulus. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Robotics.
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.