Bryan Higgs

494 total citations
23 papers, 343 citations indexed

About

Bryan Higgs is a scholar working on Control and Systems Engineering, Automotive Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Bryan Higgs has authored 23 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 15 papers in Automotive Engineering and 14 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Bryan Higgs's work include Traffic control and management (16 papers), Autonomous Vehicle Technology and Safety (14 papers) and Traffic and Road Safety (14 papers). Bryan Higgs is often cited by papers focused on Traffic control and management (16 papers), Autonomous Vehicle Technology and Safety (14 papers) and Traffic and Road Safety (14 papers). Bryan Higgs collaborates with scholars based in United States, China and India. Bryan Higgs's co-authors include Montasir Abbas, Linsen Chong, Alejandra Medina, Canqian Yang, Sahar Ghanipoor Machiani, Sayantan Chakraborty, Miloš N. Mladenović, Ujwalkumar D. Patil, Surya Sarat Chandra Congress and Aritra Banerjee and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C Emerging Technologies and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Bryan Higgs

20 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan Higgs United States 6 211 196 144 108 96 23 343
Zian Ma China 12 204 1.0× 273 1.4× 114 0.8× 133 1.2× 113 1.2× 17 374
Qiangqiang Shangguan China 11 208 1.0× 138 0.7× 218 1.5× 153 1.4× 48 0.5× 22 414
Yanli Ma China 13 156 0.7× 127 0.6× 127 0.9× 81 0.8× 54 0.6× 36 345
Johan Olstam Sweden 10 259 1.2× 321 1.6× 123 0.9× 154 1.4× 208 2.2× 52 479
Liling Zhu China 9 222 1.1× 288 1.5× 92 0.6× 126 1.2× 116 1.2× 19 353
Lizhe Li United States 4 203 1.0× 153 0.8× 89 0.6× 119 1.1× 48 0.5× 8 289
Haotian Shi United States 10 287 1.4× 325 1.7× 63 0.4× 142 1.3× 106 1.1× 30 447
Xiangwang Hu China 3 212 1.0× 227 1.2× 76 0.5× 70 0.6× 96 1.0× 6 290
J A Bonneson United States 7 102 0.5× 261 1.3× 129 0.9× 196 1.8× 167 1.7× 25 375
Vadim Butakov United States 5 289 1.4× 178 0.9× 82 0.6× 63 0.6× 38 0.4× 8 373

Countries citing papers authored by Bryan Higgs

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Higgs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Higgs

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Higgs. A scholar is included among the top collaborators of Bryan Higgs 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 Bryan Higgs. Bryan Higgs 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.
Patil, Ujwalkumar D., et al.. (2025). The Resilience of Vetiver-Vegetated Tropical Hillslopes to Heavy Precipitation Events Caused by Successive Typhoon. Geotechnical and Geological Engineering. 44(1).
2.
Higgs, Bryan & Ujwalkumar D. Patil. (2024). Integrating Climate Change Into Engineering Education. Papers on Engineering Education Repository (American Society for Engineering Education).
3.
Abbas, Montasir, et al.. (2016). High-Resolution Field Evaluation of Radar-Based Dilemma Zone Protection System. Transportation Research Record Journal of the Transportation Research Board. 2557(1). 11–23. 2 indexed citations
4.
Higgs, Bryan & Montasir Abbas. (2014). Multi-Resolution Comparison of Car-Following Models using Naturalistic Data. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 6 indexed citations
5.
Abbas, Montasir, Bryan Higgs, & Sahar Ghanipoor Machiani. (2014). Integrated real-time data collection and safety improvement system at signalized intersections. 39. 2950–2955. 4 indexed citations
6.
Higgs, Bryan & Montasir Abbas. (2014). Segmentation and Clustering of Car-Following Behavior: Recognition of Driving Patterns. IEEE Transactions on Intelligent Transportation Systems. 16(1). 81–90. 107 indexed citations
7.
Higgs, Bryan & Montasir Abbas. (2014). Experimental design for a psychophysiological driving simulator study. 16. 3120–3125. 1 indexed citations
8.
Higgs, Bryan & Montasir Abbas. (2014). Development of an emotional car-following model. 2972–2977.
9.
Higgs, Bryan & Montasir Abbas. (2013). A two-step segmentation algorithm for behavioral clustering of naturalistic driving styles. 857–862. 28 indexed citations
10.
Higgs, Bryan, Montasir Abbas, & Alejandra Medina. (2012). Naturalistic Car Driver Behavior: A Comparison of Car-Following Models. 19th ITS World CongressERTICO - ITS EuropeEuropean CommissionITS AmericaITS Asia-Pacific. 1 indexed citations
11.
Abbas, Montasir, et al.. (2012). Agent-Based Reinforcement Learning Model for Simulating Driver Heterogeneous Behavior During Safety-Critical Events in Traffic. Transportation Research Board 91st Annual MeetingTransportation Research Board. 4 indexed citations
12.
Abbas, Montasir, et al.. (2012). Naturalistic Car Driver Behavior: Hybrid Wiedemann and Gazis-Herman-Rothery Model Calibration. Transportation Research Board 91st Annual MeetingTransportation Research Board. 61(1). 71–80. 2 indexed citations
13.
Abbas, Montasir, Bryan Higgs, Linsen Chong, & Alejandra Medina. (2012). Combined car-following and unsafe event trajectory simulation using agent based modeling techniques. Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC). 1–10. 5 indexed citations
14.
Chong, Linsen, Montasir Abbas, Bryan Higgs, & Alejandra Medina. (2011). Driver Car-following Behavior Simulation using Fuzzy Rule-based Neural Network. 3 indexed citations
15.
Higgs, Bryan, Montasir Abbas, & Alejandra Medina. (2011). Analysis of the Wiedemann Car–Following Model over Different Speeds Using Naturalistic Data. 47 indexed citations
16.
Abbas, Montasir, et al.. (2011). Discriminant Analysis of Driver Behavior Before Safety Critical Events. Advances in transportation studies. 1 indexed citations
17.
Chong, Linsen, Montasir Abbas, Bryan Higgs, & Alejandra Medina. (2011). Naturalistic Longitudinal and Lateral Risk-Taking Driving Behavior Modeling during Safety-Critical Events. 2 indexed citations
18.
Abbas, Montasir, et al.. (2011). Comparison of Car-Following Models when Calibrated to Individual Drivers Using Naturalistic Data. Transportation Research Board 90th Annual MeetingTransportation Research Board. 5 indexed citations
19.
Abbas, Montasir, et al.. (2011). Identification of warning signs in truck driving behavior before safety-critical events. 5. 558–563. 5 indexed citations
20.
Chong, Linsen, Montasir Abbas, Bryan Higgs, Alejandra Medina, & Canqian Yang. (2011). Determination and optimization of reinforcement learning parameters for driver actions in traffic. 1785–1790. 3 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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