Pietro Cerri
- Computer Vision and Pattern Recognition top 1%
- Automotive Engineering top 1%
- Aerospace Engineering top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Co-authors
- Alberto BroggiPaolo MediciPaolo GrisleriMoises DíazMassimo BertozziPier Paolo PortaHo Gi JungStefano Ghidoni
- Topics
- Autonomous Vehicle Technology and Safety (19 papers)Video Surveillance and Tracking Methods (12 papers)Robotic Path Planning Algorithms (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceExpert Systems with ApplicationsIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- ItalySouth KoreaSpain
In The Last Decade
Pietro Cerri
32 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 881
- Automotive Engineering 703
- Aerospace Engineering 297
- Electrical and Electronic Engineering 257
- Control and Systems Engineering 174
Countries citing papers authored by Pietro Cerri
This map shows the geographic impact of Pietro Cerri'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 Pietro Cerri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pietro Cerri more than expected).
Fields of papers citing papers by Pietro Cerri
This network shows the impact of papers produced by Pietro Cerri. 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 Pietro Cerri. The network helps show where Pietro Cerri may publish in the future.
Co-authorship network of co-authors of Pietro Cerri
This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Cerri. A scholar is included among the top collaborators of Pietro Cerri 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 Pietro Cerri. Pietro Cerri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 96 | |
| 3 | 25 | |
| 4 | Visual feature tracking based on PHD filter for vehicle detection | 6 |
| 5 | 55 | |
| 6 | 22 | |
| 7 | 87 | |
| 8 | 56 | |
| 9 | 59 | |
| 10 | The VisLab Intercontinental Autonomous Challenge: 13,000 km, 3 months,… no driver | 11 |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 29 | |
| 14 | 117 | |
| 15 | 10 | |
| 16 | 62 | |
| 17 | 29 | |
| 18 | 33 | |
| 19 | 22 | |
| 20 | 76 |
About Pietro Cerri
Pietro Cerri is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (19 papers), Video Surveillance and Tracking Methods (12 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Automotive Engineering (703 citations), Computer Vision and Pattern Recognition (881 citations) and Instrumentation (72 citations). Pietro Cerri has collaborated with scholars based in Italy, South Korea and Spain. Frequent co-authors include Alberto Broggi, Paolo Medici, Paolo Grisleri, Moises Díaz, Massimo Bertozzi, Pier Paolo Porta, Ho Gi Jung, Stefano Ghidoni, Antonio Prioletti and Maria Chiara Laghi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Transactions on Intelligent Transportation 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.