A. Fascioli
- Computer Vision and Pattern Recognition top 0.5%
- Automotive Engineering top 0.5%
- Aerospace Engineering top 5%
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Co-authors
- Alberto BroggiMassimo BertozziG. ConteAurelio PiazziCorrado Guarino Lo BiancoT. GrafMarc-Michael MeineckeStefano Nichele
- Topics
- Autonomous Vehicle Technology and Safety (25 papers)Advanced Vision and Imaging (16 papers)Video Surveillance and Tracking Methods (15 papers)
In The Last Decade
A. Fascioli
36 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 1.6k
- Automotive Engineering 1.1k
- Aerospace Engineering 341
- Control and Systems Engineering 279
- Electrical and Electronic Engineering 215
Countries citing papers authored by A. Fascioli
This map shows the geographic impact of A. Fascioli'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 A. Fascioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Fascioli more than expected).
Fields of papers citing papers by A. Fascioli
This network shows the impact of papers produced by A. Fascioli. 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 A. Fascioli. The network helps show where A. Fascioli may publish in the future.
Co-authorship network of co-authors of A. Fascioli
This figure shows the co-authorship network connecting the top 25 collaborators of A. Fascioli. A scholar is included among the top collaborators of A. Fascioli 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 A. Fascioli. A. Fascioli 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 | 1 | |
| 3 | 28 | |
| 4 | 32 | |
| 5 | 62 | |
| 6 | 5 | |
| 7 | 26 | |
| 8 | 10 | |
| 9 | 97 | |
| 10 | 7 | |
| 11 | 158 | |
| 12 | 40 | |
| 13 | 182 | |
| 14 | 33 | |
| 15 | Snowcat Track Detection in Snowy Environments | 2 |
| 16 | DEVELOPMENT AND TEST OF AN INTELLIGENT VEHICLE PROTOTYPE | 3 |
| 17 | Autonomous Vehicles | 0 |
| 18 | Vision-based Automated Vehicle Guidance: the experience of the ARGO vehicle | 4 |
| 19 | 150 | |
| 20 | Short Communication Stereo inverse perspective mapping: theory and applications | 11 |
About A. Fascioli
A. Fascioli is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (25 papers), Advanced Vision and Imaging (16 papers) and Video Surveillance and Tracking Methods (15 papers). The work is most often cited by research in Automotive Engineering (1.1k citations), Computer Vision and Pattern Recognition (1.6k citations) and Safety, Risk, Reliability and Quality (133 citations). A. Fascioli has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Alberto Broggi, Massimo Bertozzi, G. Conte, Aurelio Piazzi, Corrado Guarino Lo Bianco, T. Graf, Marc-Michael Meinecke, Stefano Nichele, Paolo Lombardi and Alessandro Tibaldi. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Vehicular Technology and Computer.
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.