Francesca Favarò

20 papers receiving 756 citations

Peers

Francesca Favarò
Comparison fields: 5 of 80
  • Automotive Engineering 384
  • Safety, Risk, Reliability and Quality 321
  • Social Psychology 281
  • Statistics, Probability and Uncertainty 164
  • Control and Systems Engineering 157
Replace Christopher S. Pan with:
Christopher S. Pan United States
P.C. Cacciabue Italy
Roger Woodman United Kingdom
Gunwant Dhadyalla United Kingdom
Cody Fleming United States
Jérémie Guiochet France
Jianbin Guo China
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Citations per field
00.5×3.9×
Christopher S. Pan · 1×
Citations per year

Countries citing papers authored by Francesca Favarò

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Favarò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Favarò

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Favarò. A scholar is included among the top collaborators of Francesca Favarò 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 Francesca Favarò. Francesca Favarò 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 0
2 20
3
Analysis of Disengagements in Semi-Autonomous Vehicles: Drivers' Takeover Performance and Operational Implications
2
4
Towards a Smart World: Hazard Levels for Monitoring of Autonomous Vehicles’ Swarms
1
5 10
6 288
7 187
8 12
9 14
10
Temporal Logic for System Safety Properties and Hazard Monitoring
3
11 18
12 1
13 14
14 47
15 16
16
Observability-in-Depth: Safety Strategy to Complement Defense-in-Depth for Dynamic Real-Time Allocation of Defensive Resources
4
17 57
18 51
19 14
20
Canti e cantori bucolici : esempi di poesia a soggetto pastorale fra Seicento e Ottocento
1

About Francesca Favarò

Francesca Favarò is a scholar working on Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 22 papers that have together received 782 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (8 papers), Risk and Safety Analysis (8 papers) and Occupational Health and Safety Research (8 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (321 citations), Automotive Engineering (384 citations) and Radiological and Ultrasound Technology (137 citations). Francesca Favarò has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Sky O. Eurich, Nader D. Nader, Joseph H. Saleh, Karen Marais, Loïc Brevault, Efstathios Bakolas, Christopher W. Johnson, Dimitri N. Mavris, Luigi T. DeLuca and William A. Sirignano. Their work appears in journals such as PLoS ONE, Accident Analysis & Prevention and Reliability Engineering & System Safety.

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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