Antonio Prioletti

472 total citations
10 papers, 326 citations indexed

About

Antonio Prioletti is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Antonio Prioletti has authored 10 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Automotive Engineering, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Antonio Prioletti's work include Autonomous Vehicle Technology and Safety (9 papers), Video Surveillance and Tracking Methods (7 papers) and Advanced Neural Network Applications (3 papers). Antonio Prioletti is often cited by papers focused on Autonomous Vehicle Technology and Safety (9 papers), Video Surveillance and Tracking Methods (7 papers) and Advanced Neural Network Applications (3 papers). Antonio Prioletti collaborates with scholars based in Italy, United States and Denmark. Antonio Prioletti's co-authors include Alberto Broggi, Pietro Cerri, Paolo Medici, Maria Chiara Laghi, Mohan M. Trivedi, Matteo Panciroli, Stefano Debattisti, Paolo Grisleri, Thomas B. Moeslund and Andreas Møgelmose and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems and e-Archivo (Carlos III University of Madrid).

In The Last Decade

Antonio Prioletti

10 papers receiving 308 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Antonio Prioletti Italy	8	203	160	59	54	45	10	326
Kay Fuerstenberg Germany	9	103 0.5×	127 0.8×	54 0.9×	45 0.8×	52 1.2×	19	246
Johann Edelbrunner Germany	7	216 1.1×	154 1.0×	60 1.0×	22 0.4×	39 0.9×	9	335
Christoph Schöller Germany	6	117 0.6×	159 1.0×	79 1.3×	42 0.8×	27 0.6×	6	258
Ewoud A. I. Pool Netherlands	6	165 0.8×	169 1.1×	55 0.9×	103 1.9×	28 0.6×	7	350
Maximilian Naumann Germany	6	126 0.6×	227 1.4×	38 0.6×	48 0.9×	29 0.6×	9	317
Stefano Debattisti Italy	6	125 0.6×	203 1.3×	33 0.6×	72 1.3×	51 1.1×	7	325
Frank Lindner Germany	5	276 1.4×	169 1.1×	41 0.7×	30 0.6×	48 1.1×	9	362
Florian Homm Germany	4	111 0.5×	226 1.4×	48 0.8×	70 1.3×	40 0.9×	4	321
Dennis Nienhüser Germany	11	197 1.0×	187 1.2×	43 0.7×	30 0.6×	57 1.3×	22	337
Maria Chiara Laghi Italy	5	106 0.5×	208 1.3×	33 0.6×	43 0.8×	52 1.2×	6	314

Countries citing papers authored by Antonio Prioletti

Since Specialization

Citations

This map shows the geographic impact of Antonio Prioletti'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 Antonio Prioletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Prioletti more than expected).

Fields of papers citing papers by Antonio Prioletti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Prioletti. 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 Antonio Prioletti. The network helps show where Antonio Prioletti may publish in the future.

Co-authorship network of co-authors of Antonio Prioletti

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Prioletti. A scholar is included among the top collaborators of Antonio Prioletti 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 Antonio Prioletti. Antonio Prioletti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

García, Fernando, Antonio Prioletti, Pietro Cerri, & Alberto Broggi. (2017). PHD filter for vehicle tracking based on a monocular camera. Expert Systems with Applications. 91. 472–479. 25 indexed citations

Broggi, Alberto, et al.. (2016). Machine learning in tracking associations with stereo vision and lidar observations for an autonomous vehicle. 648–653. 21 indexed citations

Bertozzi, Massimo, et al.. (2015). 360° Detection and tracking algorithm of both pedestrian and vehicle using fisheye images. 132–137. 50 indexed citations

Broggi, Alberto, Pietro Cerri, Stefano Debattisti, et al.. (2015). PROUD—Public Road Urban Driverless-Car Test. IEEE Transactions on Intelligent Transportation Systems. 16(6). 3508–3519. 68 indexed citations

García, Fernando, Antonio Prioletti, Pietro Cerri, et al.. (2014). Visual feature tracking based on PHD filter for vehicle detection. e-Archivo (Carlos III University of Madrid). 1–6. 6 indexed citations

Grisleri, Paolo, et al.. (2014). A coarse-to-fine vehicle detector running in real-time. 13. 691–696. 9 indexed citations

Broggi, Alberto, Pietro Cerri, Stefano Debattisti, et al.. (2014). PROUD-Public road urban driverless test: Architecture and results. 648–654. 55 indexed citations

Prioletti, Antonio, Paolo Grisleri, Mohan M. Trivedi, & Alberto Broggi. (2013). Design and implementation of a high performance pedestrian detection. 38. 1398–1403. 4 indexed citations

Prioletti, Antonio, Andreas Møgelmose, Paolo Grisleri, et al.. (2013). Part-Based Pedestrian Detection and Feature-Based Tracking for Driver Assistance: Real-Time, Robust Algorithms, and Evaluation. IEEE Transactions on Intelligent Transportation Systems. 14(3). 1346–1359. 76 indexed citations

10.

Møgelmose, Andreas, Antonio Prioletti, Mohan M. Trivedi, Alberto Broggi, & Thomas B. Moeslund. (2012). Two-stage part-based pedestrian detection. VBN Forskningsportal (Aalborg Universitet). 12 indexed citations

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.

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