Arash Jahangiri

920 total citations
39 papers, 688 citations indexed

About

Arash Jahangiri is a scholar working on Safety, Risk, Reliability and Quality, Transportation and Automotive Engineering. According to data from OpenAlex, Arash Jahangiri has authored 39 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Safety, Risk, Reliability and Quality, 16 papers in Transportation and 13 papers in Automotive Engineering. Recurrent topics in Arash Jahangiri's work include Traffic and Road Safety (20 papers), Traffic Prediction and Management Techniques (13 papers) and Autonomous Vehicle Technology and Safety (9 papers). Arash Jahangiri is often cited by papers focused on Traffic and Road Safety (20 papers), Traffic Prediction and Management Techniques (13 papers) and Autonomous Vehicle Technology and Safety (9 papers). Arash Jahangiri collaborates with scholars based in United States, Iran and Egypt. Arash Jahangiri's co-authors include Hesham Rakha, Sahar Ghanipoor Machiani, Thomas A. Dingus, Vincent Berardi, Vahid Balali, Mohammed Elhenawy, Shahriar Afandizadeh Zargari, Navid Taghizadegan Kalantari, Ihab El-Shawarby and Pamela Murray‐Tuite and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Sustainability.

In The Last Decade

Arash Jahangiri

37 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arash Jahangiri United States 13 289 255 251 166 111 39 688
Wayne Sarasua United States 17 220 0.8× 153 0.6× 224 0.9× 139 0.8× 164 1.5× 88 777
Ankit Kathuria India 13 204 0.7× 280 1.1× 138 0.5× 176 1.1× 104 0.9× 35 666
Kejun Long China 12 214 0.7× 224 0.9× 194 0.8× 213 1.3× 285 2.6× 55 615
Jiangfeng Wang China 14 159 0.6× 183 0.7× 139 0.6× 144 0.9× 179 1.6× 95 700
Mohammed Elhenawy Australia 16 381 1.3× 193 0.8× 360 1.4× 368 2.2× 256 2.3× 111 974
Chen Chai China 15 139 0.5× 365 1.4× 208 0.8× 295 1.8× 290 2.6× 41 819
Brendan J. Russo United States 12 254 0.9× 431 1.7× 111 0.4× 126 0.8× 86 0.8× 47 625
Dayong Wu United States 15 141 0.5× 189 0.7× 241 1.0× 378 2.3× 114 1.0× 44 861
Chaozhong Wu China 14 237 0.8× 403 1.6× 151 0.6× 227 1.4× 155 1.4× 39 1.0k
Lorenzo Mussone Italy 14 351 1.2× 133 0.5× 336 1.3× 114 0.7× 251 2.3× 75 694

Countries citing papers authored by Arash Jahangiri

Since Specialization
Citations

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

Fields of papers citing papers by Arash Jahangiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arash Jahangiri

This figure shows the co-authorship network connecting the top 25 collaborators of Arash Jahangiri. A scholar is included among the top collaborators of Arash Jahangiri 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 Arash Jahangiri. Arash Jahangiri 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.
2.
Jahangiri, Arash, et al.. (2022). Utilizing B-Spline Curves and Neural Networks for Vehicle Trajectory Prediction in an Inverse Reinforcement Learning Framework. Journal of Sensor and Actuator Networks. 11(1). 14–14. 5 indexed citations
3.
Machiani, Sahar Ghanipoor, et al.. (2022). Impact of an exclusive narrow automated vehicle lane on adjacent lane driver behavior. Accident Analysis & Prevention. 181. 106931–106931. 4 indexed citations
4.
Machiani, Sahar Ghanipoor, et al.. (2021). Implications of a Narrow Automated Vehicle-Exclusive Lane on Interstate 15 Express Lanes. Journal of Advanced Transportation. 2021. 1–15. 11 indexed citations
5.
Marks, Charles, Arash Jahangiri, & Sahar Ghanipoor Machiani. (2021). Identifying and Labeling Potentially Risky Driving: A Multistage Process Using Real-World Driving Data. Journal of Advanced Transportation. 2021. 1–11. 4 indexed citations
6.
Sarkar, Mahasweta, et al.. (2021). Deep Learning Architectures for Skateboarder–Pedestrian Surrogate Safety Measures. SHILAP Revista de lepidopterología. 1(2). 387–413. 1 indexed citations
7.
Paolini, Christopher, et al.. (2020). Skateboarder and Pedestrian Dataset. OSF Preprints (OSF Preprints). 1 indexed citations
8.
Jahangiri, Arash, et al.. (2020). Predicting Critical Bicycle-Vehicle Conflicts at Signalized Intersections. Journal of Advanced Transportation. 2020. 1–16. 14 indexed citations
9.
Jahangiri, Arash, Ipek N. Sener, Justin M. Owens, et al.. (2019). Identifying High-Risk Intersections for Walking and Bicycling Using Multiple Data Sources in the City of San Diego. Journal of Advanced Transportation. 2019. 1–15. 10 indexed citations
10.
Jahangiri, Arash, et al.. (2019). Data Mining to Improve Planning for Pedestrian and Bicyclist Safety (01-003). VTechWorks (Virginia Tech).
11.
Lord, Dominique, et al.. (2019). Analyzing Highway Safety Datasets: Simplifying Statistical Analyses from Sparse to Big Data. VTechWorks (Virginia Tech). 4 indexed citations
12.
Berardi, Vincent, R. Carretero-González, Neil E. Klepeis, et al.. (2018). Computational model for behavior shaping as an adaptive health intervention strategy. Translational Behavioral Medicine. 8(2). 183–194. 5 indexed citations
13.
Jahangiri, Arash, Vincent Berardi, & Sahar Ghanipoor Machiani. (2017). Application of Real Field Connected Vehicle Data for Aggressive Driving Identification on Horizontal Curves. IEEE Transactions on Intelligent Transportation Systems. 19(7). 2316–2324. 27 indexed citations
14.
Machiani, Sahar Ghanipoor, et al.. (2017). Predicting Driver Risky Behavior for Curve Speed Warning Systems Using Real Field Connected Vehicle Data. Transportation Research Board 96th Annual MeetingTransportation Research Board. 7 indexed citations
15.
Jahangiri, Arash, Hesham Rakha, & Thomas A. Dingus. (2016). Red-light running violation prediction using observational and simulator data. Accident Analysis & Prevention. 96. 316–328. 56 indexed citations
16.
Jahangiri, Arash, Hesham Rakha, & Thomas A. Dingus. (2015). Predicting Red-light Running Violations at Signalized Intersections Using Machine Learning Techniques. Transportation Research Board 94th Annual MeetingTransportation Research Board. 18 indexed citations
17.
Jahangiri, Arash, et al.. (2015). Design and Deployment of a Portable Platform for Remote Urban Pollution Monitoring. 5(4). 75–78. 1 indexed citations
18.
Elhenawy, Mohammed, Arash Jahangiri, Hesham Rakha, & Ihab El-Shawarby. (2015). Modeling driver stop/run behavior at the onset of a yellow indication considering driver run tendency and roadway surface conditions. Accident Analysis & Prevention. 83. 90–100. 25 indexed citations
19.
Jahangiri, Arash & Hesham Rakha. (2014). Developing a Support Vector Machine (SVM) Classifier for Transportation Mode Identification by Using Mobile Phone Sensor Data. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 28 indexed citations
20.
Jahangiri, Arash, Pamela Murray‐Tuite, Sahar Ghanipoor Machiani, Byungkyu Park, & Brian Wolshon. (2014). Modeling and Assessment of Crossing Elimination for No-Notice Evacuations. Transportation Research Record Journal of the Transportation Research Board. 2459(1). 91–100. 10 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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