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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:

Explaining human interactions on the road by large-scale integration of computational psychological theory
Gustav Markkula, Yi-Shin Lin, Aravinda Ramakrishnan Srinivasan, et al.
PNAS Nexus (2023) Vol. 2, Iss. 6
Open Access | Times Cited: 20

Showing 20 citing articles:

Resolving uncertainty on the fly: modeling adaptive driving behavior as active inference
Johan Engström, Ran Wei, Anthony D. McDonald, et al.
Frontiers in Neurorobotics (2024) Vol. 18
Open Access | Times Cited: 5
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
Social Interaction‐Aware Dynamical Models and Decision‐Making for Autonomous Vehicles
Luca Crosato, Kai Tian, Hubert P. H. Shum, et al.
Advanced Intelligent Systems (2023) Vol. 6, Iss. 3
Open Access | Times Cited: 12
Pedestrian decision-making uncertainty in urgent scenarios modulates multi-level, neural hierarchies
Quan Li, Siyuan Liu, Shi Shang, et al.
Cell Reports Physical Science (2025), pp. 102401-102401
Open Access
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
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
Nonreciprocal interactions in crowd dynamics: Investigating the impact of moving threats on pedestrian speed preferences
Shaocong Xie, Rui Ye, Xiaolian Li, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 162, pp. 104586-104586
Open Access | Times Cited: 2
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
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
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
Multimodal Trajectory Prediction for Diverse Vehicle Types in Autonomous Driving with Heterogeneous Data and Physical Constraints
Maoning Ge, Kento Ohtani, Ming Ding, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7323-7323
Open Access | Times Cited: 1
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
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
Processing of complex traffic scenes for effective steering and collision avoidance: a perspective, from research into human control, on the challenges for sensor-based autonomous vehicles on urban roads
John P. Wann
Frontiers in Psychology (2024) Vol. 15
Open 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
Pedestrians’ perceptions, fixations, and decisions towards automated vehicles with varied appearances
Wei Lyu, Yaqin Cao, Yi Ding, et al.
Accident Analysis & Prevention (2024) Vol. 211, pp. 107889-107889
Closed Access
Pedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception
Yueyang Wang, Aravinda Ramakrishnan Srinivasan, Jussi Jokinen, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 171, pp. 104963-104963
Open Access
Feasible Action-Space Reduction as a Metric of Causal Responsibility in Multi-Agent Spatial Interactions
Ashwin Mathew George, Luciano Cavalcante Siebert, David A. Abbink, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 1
Feasible Action-Space Reduction as a Metric of Causal Responsibility in Multi-Agent Spatial Interactions
Ashwin Mathew George, Luciano Cavalcante Siebert, David A. Abbink, et al.
arXiv (Cornell University) (2023)
Open Access
Investigating vehicle-pedestrian interactions at marked crossings: A comparison of two methodologies
Amir Hossein Kalantari, Yi-Shin Lin, Ali Mohammadi, et al.
(2023)
Open Access
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