Francesco Biral

2.0k citations
104 papers · 1.4k indexed · h-index 22
Topics
Vehicle Dynamics and Control Systems (33 papers)Autonomous Vehicle Technology and Safety (27 papers)Robotic Path Planning Algorithms (20 papers)
Partner nations
ItalyNew ZealandFrance

In The Last Decade

Francesco Biral

98 papers receiving 1.4k citations

Peers

Francesco Biral
Comparison fields: 5 of 93
  • Automotive Engineering 730
  • Control and Systems Engineering 552
  • Computer Vision and Pattern Recognition 344
  • Aerospace Engineering 173
  • Electrical and Electronic Engineering 166
Replace Mauro Da Lio with:
Mauro Da Lio Italy
Masao NAGAI Japan
Efstathios Velenis United Kingdom
Enrico Bertolazzi Italy
Mohamed Elbanhawi Australia
Houshyar Asadi Australia
Timothy Gordon United Kingdom
Shady Mohamed Australia
Changliu Liu United States
Yechen Qin China
Francesco Biral relative to Mauro Da Lio Italy Mauro Da Lio's profile →
Citations per field
00.5×
Mauro Da Lio · 1×
Citations per year

Countries citing papers authored by Francesco Biral

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Biral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Biral

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 2
4 9
5 5
6 11
7 1
8 9
9 15
10 72
11 11
12 1
13 1
14
Implementation of a Co-Driver for Continuous Support
3
15 42
16
SAFERIDER - Advanced Telematics for Enhancing the Safety and Comfort of Motorcycle Riders
5
17 4
18 58
19 60
20 17

About Francesco Biral

Francesco Biral is a scholar working on Automotive Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 104 papers that have together received 1.4k indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (33 papers), Autonomous Vehicle Technology and Safety (27 papers) and Robotic Path Planning Algorithms (20 papers). The work is most often cited by research in Automotive Engineering (730 citations), Control and Systems Engineering (552 citations) and Computer Vision and Pattern Recognition (344 citations). Francesco Biral has collaborated with scholars based in Italy, New Zealand and France. Frequent co-authors include Enrico Bertolazzi, Mauro Da Lio, Roberto Lot, Paolo Bosetti, Andrea Saroldi, Fabio Tango, Daniele Fontanelli, Marco Frego, Luigi Palopoli and Matteo Massaro. Their work appears in journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Automatica.

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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