Luca Magri
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence
- Geology top 10%
- Environmental Engineering
- Co-authors
- Andrea FusielloFederica ArrigoniGiacomo BoracchiPasqualina FragnetoRoberto ToldoBeatrice RossiEleonora MasetI. Toschi
- Topics
- Anomaly Detection Techniques and Applications (9 papers)Advanced Vision and Imaging (7 papers)Robotics and Sensor-Based Localization (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPattern RecognitionIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ItalySwitzerlandCzechia
In The Last Decade
Luca Magri
21 papers receiving 288 citations
Peers
Comparison fields: 5 of 36
- Computer Vision and Pattern Recognition 216
- Aerospace Engineering 104
- Artificial Intelligence 63
- Geology 52
- Environmental Engineering 49
Countries citing papers authored by Luca Magri
This map shows the geographic impact of Luca Magri'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 Luca Magri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Magri more than expected).
Fields of papers citing papers by Luca Magri
This network shows the impact of papers produced by Luca Magri. 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 Luca Magri. The network helps show where Luca Magri may publish in the future.
Co-authorship network of co-authors of Luca Magri
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Magri. A scholar is included among the top collaborators of Luca Magri 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 Luca Magri. Luca Magri 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 42 | |
| 17 | 33 | |
| 18 | 25 | |
| 19 | 108 | |
| 20 | 1 |
About Luca Magri
Luca Magri is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 289 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (9 papers), Advanced Vision and Imaging (7 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (216 citations), Geology (52 citations) and Aerospace Engineering (104 citations). Luca Magri has collaborated with scholars based in Italy, Switzerland and Czechia. Frequent co-authors include Andrea Fusiello, Federica Arrigoni, Giacomo Boracchi, Pasqualina Fragneto, Roberto Toldo, Beatrice Rossi, Eleonora Maset, I. Toschi, Diego Carrera and Cesare Alippi. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.
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.