G Ponte

546 total citations
45 papers, 425 citations indexed

About

G Ponte is a scholar working on Safety, Risk, Reliability and Quality, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, G Ponte has authored 45 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Safety, Risk, Reliability and Quality, 24 papers in Pulmonary and Respiratory Medicine and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in G Ponte's work include Traffic and Road Safety (34 papers), Automotive and Human Injury Biomechanics (24 papers) and Injury Epidemiology and Prevention (11 papers). G Ponte is often cited by papers focused on Traffic and Road Safety (34 papers), Automotive and Human Injury Biomechanics (24 papers) and Injury Epidemiology and Prevention (11 papers). G Ponte collaborates with scholars based in Australia and Japan. G Ponte's co-authors include A J McLean, C N Kloeden, Ronald Anderson, Vivienne Moore, Robert Anderson, Lisa N. Wundersitz, T. P. Hutchinson, Tetsuya NISHIMOTO, G A Ryan and Robert W. Anderson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Accident Analysis & Prevention and Transportation Research Part F Traffic Psychology and Behaviour.

In The Last Decade

G Ponte

38 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G Ponte Australia 11 333 151 96 95 81 45 425
Jeremy Broughton United Kingdom 17 548 1.6× 222 1.5× 183 1.9× 140 1.5× 102 1.3× 43 719
Johan Strandroth Sweden 10 350 1.1× 100 0.7× 165 1.7× 102 1.1× 117 1.4× 37 455
J E Woolley Australia 12 309 0.9× 177 1.2× 96 1.0× 91 1.0× 37 0.5× 66 522
C N Kloeden 7 321 1.0× 164 1.1× 111 1.2× 61 0.6× 22 0.3× 20 366
Irene Isaksson-Hellman Sweden 15 370 1.1× 85 0.6× 138 1.4× 143 1.5× 299 3.7× 27 598
Michael Pawlovich United States 10 420 1.3× 190 1.3× 110 1.1× 42 0.4× 34 0.4× 24 468
Craig N. Kloeden Australia 11 303 0.9× 117 0.8× 149 1.6× 35 0.4× 63 0.8× 63 448
Anna Vadeby Sweden 10 254 0.8× 122 0.8× 53 0.6× 84 0.9× 21 0.3× 41 405
Michiel Christoph Netherlands 12 285 0.9× 162 1.1× 76 0.8× 123 1.3× 23 0.3× 33 430
Pei-Sung Lin United States 12 454 1.4× 256 1.7× 177 1.8× 95 1.0× 24 0.3× 78 563

Countries citing papers authored by G Ponte

Since Specialization
Citations

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

Fields of papers citing papers by G Ponte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Ponte

This figure shows the co-authorship network connecting the top 25 collaborators of G Ponte. A scholar is included among the top collaborators of G Ponte 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 G Ponte. G Ponte 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
1.
NISHIMOTO, Tetsuya, et al.. (2024). A vehicle occupant injury prediction algorithm based on road crash and emergency medical data. Journal of Safety Research. 91. 410–422.
2.
Ponte, G, et al.. (2021). An investigation of cyclist passing distances in the Australian Capital Territory. Accident Analysis & Prevention. 154. 106075–106075. 12 indexed citations
3.
Ponte, G, et al.. (2019). Trends in pedestrian protection for vehicles rated by Australasian NCAP. 1 indexed citations
4.
NISHIMOTO, Tetsuya, et al.. (2019). A pedestrian serious injury risk prediction method based on posted speed limit. Accident Analysis & Prevention. 129. 84–93. 12 indexed citations
5.
Ponte, G & Lisa N. Wundersitz. (2019). Exploring the prevalence of in-vehicle driver distraction in moving traffic: a pilot study. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 2 indexed citations
6.
Ponte, G & Tetsuya NISHIMOTO. (2018). Development of a Pedestrian Injury Prediction Model for Potential Use in an Advanced Automated Crash Notification (AACN) System. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Ponte, G, et al.. (2016). An examination of the effectiveness and acceptability of mobile phone blocking technology among drivers of corporate fleet vehicles. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 7 indexed citations
8.
Ponte, G, et al.. (2015). Emerging vehicle safety technologies and their potential benefits: discussion of expert opinions. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 2 indexed citations
9.
Anderson, Robert, et al.. (2013). Potential Benefits of Autonomous Emergency Braking Based on In-Depth Crash Reconstruction and Simulation. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 16 indexed citations
10.
Anderson, Robert W. & G Ponte. (2012). Contribution of structural incompatibility to asymmetrical injury risks in crashes between two passenger vehicles. SHILAP Revista de lepidopterología. 23(4). 33–42. 1 indexed citations
11.
Anderson, Ronald, et al.. (2012). The potential of autonomous emergency braking systems to mitigate passenger vehicle crashes. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 13 indexed citations
12.
Anderson, Ronald, et al.. (2012). Potential benefits of forward collision avoidance technology. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 9 indexed citations
13.
Ponte, G, et al.. (2007). A comparison of the pedestrian passive safety performance of the new vehicle fleet in Australia, France and the United Kingdom. SHILAP Revista de lepidopterología. 19(3). 25–31. 2 indexed citations
14.
Anderson, Ronald, et al.. (2007). Pedestrian reconstruction using multibody MADYMO simulation and the Polar-II dummy: a comparison of head kinematics. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 10 indexed citations
15.
Anderson, Robert W., et al.. (2006). Testing the pedestrian safety of bull bars: methods and results. SHILAP Revista de lepidopterología. 19(1). 35–43. 2 indexed citations
16.
Ponte, G, et al.. (2004). Pedestrian protection in vehicle impacts: further results from the Australian new car assessment program. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1(1). 2 indexed citations
17.
Anderson, Robert, et al.. (2003). Pedestrian subsystem head impact results reflectthe severity of pedestrian head injuries. International Journal of Vehicle Design. 32(1/2). 1–1. 13 indexed citations
18.
Ponte, G, et al.. (2002). Development of head protection for car occupants. Road and transport research. 12(1). 41–48. 10 indexed citations
19.
Anderson, Robert, et al.. (2002). SEVERITY AND TYPE OF PEDESTRIAN INJURIES RELATED TO VEHICLE IMPACT LOCATIONS AND RESULTS OF SUB-SYSTEM IMPACT RECONSTRUCTION. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 30. 9 indexed citations
20.
Ponte, G, et al.. (2001). FURTHER DEVELOPMENT OF A PROTECTIVE HEADBAND FOR CAR OCCUPANTS. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1 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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