Behrad Toghi

546 total citations
10 papers, 307 citations indexed

About

Behrad Toghi is a scholar working on Automotive Engineering, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Behrad Toghi has authored 10 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Automotive Engineering, 8 papers in Control and Systems Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Behrad Toghi's work include Autonomous Vehicle Technology and Safety (10 papers), Traffic control and management (8 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). Behrad Toghi is often cited by papers focused on Autonomous Vehicle Technology and Safety (10 papers), Traffic control and management (8 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). Behrad Toghi collaborates with scholars based in United States. Behrad Toghi's co-authors include Yaser P. Fallah, Rodolfo Valiente, Ramtin Pedarsani, Hossein Nourkhiz Mahjoub, Dorsa Sadigh and Jayanthi Rao and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Automotive Innovation and IEEE Open Journal of Intelligent Transportation Systems.

In The Last Decade

Behrad Toghi

10 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Behrad Toghi United States 9 164 147 127 57 48 10 307
Ehsan Moradi‐Pari United States 7 137 0.8× 180 1.2× 117 0.9× 63 1.1× 23 0.5× 20 292
Filippo Visintainer Italy 6 138 0.8× 205 1.4× 96 0.8× 82 1.4× 19 0.4× 11 304
Florian A. Schiegg Germany 10 135 0.8× 201 1.4× 84 0.7× 65 1.1× 24 0.5× 31 296
Raphael Riebl Germany 7 140 0.9× 282 1.9× 130 1.0× 135 2.4× 31 0.6× 14 342
Erik Steinmetz Sweden 9 117 0.7× 144 1.0× 109 0.9× 49 0.9× 32 0.7× 11 299
Mhafuzul Islam United States 10 89 0.5× 136 0.9× 50 0.4× 73 1.3× 58 1.2× 18 258
Radovan Miucic United States 9 96 0.6× 235 1.6× 87 0.7× 98 1.7× 31 0.6× 22 341
John Harding 4 119 0.7× 177 1.2× 66 0.5× 83 1.5× 33 0.7× 5 283
Henry Alexander Ignatious United Arab Emirates 6 100 0.6× 73 0.5× 41 0.3× 41 0.7× 47 1.0× 12 249
Anjan Rayamajhi United States 6 165 1.0× 186 1.3× 148 1.2× 89 1.6× 17 0.4× 11 343

Countries citing papers authored by Behrad Toghi

Since Specialization
Citations

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

Fields of papers citing papers by Behrad Toghi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behrad Toghi

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

All Works

10 of 10 papers shown
1.
Toghi, Behrad, et al.. (2024). Scalable Cellular V2X Solutions: Large-Scale Deployment Challenges of Connected Vehicle Safety Networks. Automotive Innovation. 7(3). 373–382. 4 indexed citations
2.
Valiente, Rodolfo, et al.. (2023). Prediction-Aware and Reinforcement Learning-Based Altruistic Cooperative Driving. IEEE Transactions on Intelligent Transportation Systems. 25(3). 2450–2465. 10 indexed citations
3.
Valiente, Rodolfo, Behrad Toghi, Ramtin Pedarsani, & Yaser P. Fallah. (2022). Robustness and Adaptability of Reinforcement Learning-Based Cooperative Autonomous Driving in Mixed-Autonomy Traffic. IEEE Open Journal of Intelligent Transportation Systems. 3. 397–410. 50 indexed citations
4.
Toghi, Behrad, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, & Yaser P. Fallah. (2022). Social Coordination and Altruism in Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 23(12). 24791–24804. 54 indexed citations
5.
Toghi, Behrad, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, & Yaser P. Fallah. (2021). Cooperative Autonomous Vehicles that Sympathize with Human Drivers. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4517–4524. 30 indexed citations
6.
Toghi, Behrad, et al.. (2020). Performance Analysis of Cellular-V2X with Adaptive & Selective Power Control. 1–7. 15 indexed citations
7.
Toghi, Behrad, et al.. (2019). Analysis of Distributed Congestion Control in Cellular Vehicle-to-Everything Networks. 1–7. 42 indexed citations
8.
Mahjoub, Hossein Nourkhiz, Behrad Toghi, & Yaser P. Fallah. (2018). A Driver Behavior Modeling Structure Based on Non-Parametric Bayesian Stochastic Hybrid Architecture. Journal of International Crisis and Risk Communication Research. 1–5. 11 indexed citations
9.
Mahjoub, Hossein Nourkhiz, Behrad Toghi, & Yaser P. Fallah. (2018). A Stochastic Hybrid Framework for Driver Behavior Modeling Based on Hierarchical Dirichlet Process. Journal of International Crisis and Risk Communication Research. 1–5. 9 indexed citations
10.

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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2026