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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Should I Stay or Should I Go? Cognitive Modeling of Left-Turn Gap Acceptance Decisions in Human Drivers
Arkady Zgonnikov, David A. Abbink, Gustav Markkula
Human Factors The Journal of the Human Factors and Ergonomics Society (2022) Vol. 66, Iss. 5, pp. 1399-1413
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Unprotected Left-Turn Behavior Model Capturing Path Variations at Intersections
Jing Zhao, Victor L. Knoop, Jian Sun, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 9, pp. 9016-9030
Open Access | Times Cited: 33
"AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AI
Agnes Mercedes Kloft, Robin Welsch, Thomas Kosch, et al.
(2024), pp. 1-24
Open Access | Times Cited: 15
Improving models of pedestrian crossing behavior using neural signatures of decision-making
Siwei Ma, Xuedong Yan, Jac Billington, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2025) Vol. 109, pp. 1491-1506
Closed Access
Reimagining Road Safety: Leveraging Technology to Combat Road Fatalities in Ghana
George Asekere, Vida Ampiah, Emmanuel Letsyo, et al.
International Journal of Science Technology and Society (2025) Vol. 13, Iss. 1, pp. 25-34
Open Access
A game theoretical model to examine pedestrian behaviour and safety on unsignalised slip lanes using AI-based video analytics
Md Eaysir Arafat, Sherrie-Anne Kaye, Ronald Schroeter, et al.
Accident Analysis & Prevention (2025) Vol. 217, pp. 108034-108034
Open Access
Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios
Julian F. Schumann, Jens Kober, Arkady Zgonnikov
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 3, pp. 2580-2591
Open Access | Times Cited: 10
Response times in drivers' gap acceptance decisions during overtaking
Annemartijne Sevenster, Haneen Farah, David A. Abbink, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2023) Vol. 94, pp. 329-340
Open Access | Times Cited: 10
Human Merging Behaviour in a Coupled Driving Simulator: How Do We Resolve Conflicts?
Olger Siebinga, Arkady Zgonnikov, David A. Abbink
IEEE Open Journal of Intelligent Transportation Systems (2024) Vol. 5, pp. 103-114
Open Access | Times Cited: 3
Modelling communication-enabled traffic interactions
Olger Siebinga, Arkady Zgonnikov, David A. Abbink
Royal Society Open Science (2023) Vol. 10, Iss. 5
Open Access | Times Cited: 9
Nudging human drivers via implicit communication by automated vehicles: Empirical evidence and computational cognitive modeling
Arkady Zgonnikov, Niek Beckers, Ashwin Mathew George, et al.
International Journal of Human-Computer Studies (2024) Vol. 185, pp. 103224-103224
Open Access | Times Cited: 2
Driver-Pedestrian Interactions at Unsignalized Crossings Are Not in Line With the Nash Equilibrium
Amir Hossein Kalantari, Yue Yang, Yee Mun Lee, et al.
IEEE Access (2023) Vol. 11, pp. 110707-110723
Open Access | Times Cited: 6
Subtle motion cues by automated vehicles can nudge human drivers’ decisions: Empirical evidence and computational cognitive model
Arkady Zgonnikov, Niek Beckers, Ashwin Mathew George, et al.
(2023)
Open Access | Times Cited: 5
Towards the application of evidence accumulation models in the design of (semi-)autonomous driving systems – an attempt to overcome the sample size roadblock
Dominik Bachmann, Leendert van Maanen
International Journal of Human-Computer Studies (2024) Vol. 185, pp. 103220-103220
Open Access | Times Cited: 1
An Introduction and Tutorial to Fitting (Time-Dependent) Diffusion Models with the R-Package dRiftDM
Valentin Koob, Thomas Richter, Rolf Ulrich, et al.
(2024)
Open Access | Times Cited: 1
How Sure is the Driver? Modelling Drivers’ Confidence in Left-Turn Gap Acceptance Decisions
Floor Bontje, Arkady Zgonnikov
Computational Brain & Behavior (2024) Vol. 7, Iss. 3, pp. 437-456
Open Access | Times Cited: 1
Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study
Julian F. Schumann, Aravinda Ramakrishnan Srinivasan, Jens Kober, et al.
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023), pp. 5870-5875
Open Access | Times Cited: 3
Structural Equation Modeling of Right-Turn Motorists at Unsignalized Intersections: Road Safety Perspectives
Fajaruddin Mustakim, Azlan Abd Aziz, Azwan Mahmud, et al.
International Journal of Technology (2023) Vol. 14, Iss. 6, pp. 1216-1216
Open Access | Times Cited: 2
Now or never: Eye tracking and response times reveal the dynamics of highway merging decisions
Arkady Zgonnikov, Merijn van Niekerk, Yke Bauke Eisma, et al.
(2023)
Open Access | Times Cited: 2
Pedestrians’ road-crossing decisions: Comparing different drift-diffusion models
Max Theisen, Caroline Schießl, Wolfgang Einhäuser, et al.
International Journal of Human-Computer Studies (2023) Vol. 183, pp. 103200-103200
Open Access | Times Cited: 2
Response time and accuracy modeling through the lens of fractional dynamics
Amir Hosein Hadian Rasanan, Nathan J. Evans, Jörg Rieskamp, et al.
Elsevier eBooks (2024), pp. 1-27
Closed Access
Modeling decision-making process of drivers during yellow signal phase at intersections based on drift–diffusion model
Pengfei Liu, J. Zhao, Fanlei Zhang, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2024) Vol. 105, pp. 368-384
Closed Access
A model of dyadic merging interactions explains human drivers' behavior from control inputs to decisions
Olger Siebinga, Arkady Zgonnikov, David A. Abbink
PNAS Nexus (2024) Vol. 3, Iss. 10
Open Access
In the driver's mind: Modeling the dynamics of human overtaking decisions in interactions with oncoming automated vehicles
S. Mohammad, Haneen Farah, Arkady Zgonnikov
Transportation Research Part F Traffic Psychology and Behaviour (2024) Vol. 107, pp. 562-577
Open Access
Turning Motion Planning for Connected and Automated Vehicles at Unsignalized Intersections Considering Multiple Left-Turn Exit Lanes
Feng Chen, Cunbao Zhang, Yu Cao
Journal of Transportation Engineering Part A Systems (2024) Vol. 151, Iss. 2
Closed Access
Modeling Gap Acceptance in Overtaking: A Cognitive Process Approach
S. Mohammad, Haneen Farah, Arkady Zgonnikov
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023)
Closed Access | Times Cited: 1
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