Paolo Grisleri
- Computer Vision and Pattern Recognition top 2%
- Automotive Engineering top 2%
- Aerospace Engineering top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Alberto BroggiC. CaraffiPietro CerriStefano GhidoniHo Gi JungT. GrafMarc-Michael MeineckeRean Isabella Fedriga
- Topics
- Autonomous Vehicle Technology and Safety (17 papers)Video Surveillance and Tracking Methods (13 papers)Advanced Vision and Imaging (7 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIEEE Intelligent SystemsJournal of Field Robotics
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Paolo Grisleri
27 papers receiving 909 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 630
- Automotive Engineering 483
- Aerospace Engineering 194
- Electrical and Electronic Engineering 141
- Control and Systems Engineering 123
Countries citing papers authored by Paolo Grisleri
This map shows the geographic impact of Paolo Grisleri'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 Paolo Grisleri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Grisleri more than expected).
Fields of papers citing papers by Paolo Grisleri
This network shows the impact of papers produced by Paolo Grisleri. 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 Paolo Grisleri. The network helps show where Paolo Grisleri may publish in the future.
Co-authorship network of co-authors of Paolo Grisleri
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Grisleri. A scholar is included among the top collaborators of Paolo Grisleri 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 Paolo Grisleri. Paolo Grisleri 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 | 9 | |
| 3 | 22 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 18 | |
| 8 | 117 | |
| 9 | 10 | |
| 10 | 29 | |
| 11 | 26 | |
| 12 | 33 | |
| 13 | The Oshkosh-VisLab Joint Efforts on UGVs: Architecture, Integration, and Results | 1 |
| 14 | 22 | |
| 15 | 28 | |
| 16 | 112 | |
| 17 | 17 | |
| 18 | 32 | |
| 19 | 17 | |
| 20 | 81 |
About Paolo Grisleri
Paolo Grisleri is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality, having authored 27 papers that have together received 966 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (17 papers), Video Surveillance and Tracking Methods (13 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Automotive Engineering (483 citations), Computer Vision and Pattern Recognition (630 citations) and Safety, Risk, Reliability and Quality (84 citations). Paolo Grisleri has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Alberto Broggi, C. Caraffi, Pietro Cerri, Stefano Ghidoni, Ho Gi Jung, T. Graf, Marc-Michael Meinecke, Rean Isabella Fedriga, Paolo Medici and Silvia Cattani. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Intelligent Systems and Journal of Field 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.