Hananeh Alambeigi

614 total citations · 1 hit paper
14 papers, 308 citations indexed

About

Hananeh Alambeigi is a scholar working on Social Psychology, Safety, Risk, Reliability and Quality and Automotive Engineering. According to data from OpenAlex, Hananeh Alambeigi has authored 14 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Social Psychology, 7 papers in Safety, Risk, Reliability and Quality and 5 papers in Automotive Engineering. Recurrent topics in Hananeh Alambeigi's work include Human-Automation Interaction and Safety (9 papers), Traffic and Road Safety (7 papers) and Autonomous Vehicle Technology and Safety (4 papers). Hananeh Alambeigi is often cited by papers focused on Human-Automation Interaction and Safety (9 papers), Traffic and Road Safety (7 papers) and Autonomous Vehicle Technology and Safety (4 papers). Hananeh Alambeigi collaborates with scholars based in United States, United Kingdom and Germany. Hananeh Alambeigi's co-authors include Anthony D. McDonald, Gustav Markkula, Tobias Vogelpohl, Johan Engström, Ali Akbari, Saleh Afroogh, Tara Goddard, Brian A. Anderson, Alfredo García and A. J. Smith and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Accident Analysis & Prevention and Human Factors The Journal of the Human Factors and Ergonomics Society.

In The Last Decade

Hananeh Alambeigi

13 papers receiving 299 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Trust in AI: progress, challenges, and future directions

2024 66 citations Saleh Afroogh, Ali Akbari et al. Humanities and Social Sciences Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hananeh Alambeigi United States	6	213	146	81	34	29	14	308
Rebecca Currano United States	8	270 1.3×	116 0.8×	98 1.2×	18 0.5×	12 0.4×	25	334
Shu Ma China	10	234 1.1×	155 1.1×	67 0.8×	34 1.0×	22 0.8×	26	354
Joshua Domeyer United States	10	253 1.2×	191 1.3×	100 1.2×	41 1.2×	11 0.4×	27	362
Daniël D. Heikoop Netherlands	9	192 0.9×	114 0.8×	88 1.1×	15 0.4×	35 1.2×	15	289
Yke Bauke Eisma Netherlands	10	329 1.5×	171 1.2×	97 1.2×	18 0.5×	11 0.4×	29	429
Mercedes Bueno France	13	291 1.4×	182 1.2×	109 1.3×	30 0.9×	36 1.2×	30	370
Hillary Abraham United States	8	217 1.0×	108 0.7×	160 2.0×	45 1.3×	7 0.2×	12	325
Francesco Walker Netherlands	8	213 1.0×	107 0.7×	67 0.8×	11 0.3×	36 1.2×	15	300
Elizabeth Pulver United States	8	229 1.1×	120 0.8×	103 1.3×	31 0.9×	71 2.4×	11	298
Niklas Strand Sweden	8	194 0.9×	136 0.9×	104 1.3×	38 1.1×	11 0.4×	23	301

Countries citing papers authored by Hananeh Alambeigi

Since Specialization

Citations

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

Fields of papers citing papers by Hananeh Alambeigi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hananeh Alambeigi

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

All Works

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14 of 14 papers shown

Afroogh, Saleh, et al.. (2025). Correction: Trust in AI: progress, challenges, and future directions. Humanities and Social Sciences Communications. 12(1). 1 indexed citations

Afroogh, Saleh, et al.. (2024). Trust in AI: progress, challenges, and future directions. Humanities and Social Sciences Communications. 11(1). 66 indexed citations breakdown →

Alambeigi, Hananeh, Anthony D. McDonald, Eva M. Shipp, et al.. (2023). A review of best practices, standards, and approaches for transportation safety data and driver state prediction. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 1161–1167. 1 indexed citations

Alambeigi, Hananeh, Anthony D. McDonald, Michael Manser, et al.. (2023). Predicting Driver Errors during Automated Vehicle Takeovers. Transportation Research Record Journal of the Transportation Research Board. 2677(9). 410–420. 1 indexed citations

McDonald, Anthony D., et al.. (2022). Modeling Driver Responses to Automation Failures With Active Inference. IEEE Transactions on Intelligent Transportation Systems. 23(10). 18064–18075. 8 indexed citations

McDonald, Anthony D., et al.. (2021). Data Mining Twitter to Improve Automated Vehicle Safety (04-098). VTechWorks (Virginia Tech). 1 indexed citations

Alambeigi, Hananeh & Anthony D. McDonald. (2021). A Bayesian Regression Analysis of the Effects of Alert Presence and Scenario Criticality on Automated Vehicle Takeover Performance. Human Factors The Journal of the Human Factors and Ergonomics Society. 65(2). 288–305. 11 indexed citations

Kim, Andy Jeesu, Hananeh Alambeigi, Tara Goddard, Anthony D. McDonald, & Brian A. Anderson. (2021). Bicyclist-evoked arousal and greater attention to bicyclists independently promote safer driving. Cognitive Research Principles and Implications. 6(1). 66–66. 2 indexed citations

Alambeigi, Hananeh, et al.. (2021). A Novel Approach to Social Media Guideline Design and Its Application to Automated Vehicle Events. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 65(1). 1510–1514. 5 indexed citations

10.

Sarkar, Abhijit, et al.. (2021). Role of Peripheral Vision in Brake Reaction Time During Safety Critical Events. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 65(1). 695–699. 1 indexed citations

11.

McDonald, Anthony D., Abhijit Sarkar, Jeffrey S. Hickman, et al.. (2021). Modeling Driver Behavior During Automated Vehicle Platooning Failures. VTechWorks (Virginia Tech). 2 indexed citations

12.

Alambeigi, Hananeh, et al.. (2020). Crash tags: Topic modeling social media data after fatal automated ve-hicle crashes. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 64(1). 1909–1910. 1 indexed citations

13.

Goddard, Tara, et al.. (2020). Unsafe bicyclist overtaking behavior in a simulated driving task: The role of implicit and explicit attitudes. Accident Analysis & Prevention. 144. 105595–105595. 18 indexed citations

14.

McDonald, Anthony D., et al.. (2019). Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures. Human Factors The Journal of the Human Factors and Ergonomics Society. 61(4). 642–688. 190 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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