This map shows the geographic impact of Ali Zockaie'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 Ali Zockaie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Zockaie more than expected).
This network shows the impact of papers produced by Ali Zockaie. 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 Ali Zockaie. The network helps show where Ali Zockaie may publish in the future.
Co-authorship network of co-authors of Ali Zockaie
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Zockaie.
A scholar is included among the top collaborators of Ali Zockaie 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 Ali Zockaie. Ali Zockaie is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zockaie, Ali, Hani S. Mahmassani, & Fatemeh Fakhrmoosavi. (2019). Reliability-Based User Equilibrium in Dynamic Stochastic Networks: A Scenario Approach Considering Travel Time Correlations and Heterogeneous Users. Transportation Research Board 98th Annual MeetingTransportation Research Board.2 indexed citations
10.
Fakhrmoosavi, Fatemeh, et al.. (2018). Decomposition of Stochastic Time-Varying Networks for the Path-Finding Problem Considering Travel Time Correlations and Heterogeneity of Users. Transportation Research Board 97th Annual MeetingTransportation Research Board.2 indexed citations
11.
Zockaie, Ali, Hani S. Mahmassani, Yu Nie, & Fatemeh Fakhrmoosavi. (2018). Reliability-Based User Equilibrium Formulation in Dynamic Stochastic Networks with Correlated Travel Times and Heterogeneous User Preferences. Transportation Research Board 97th Annual MeetingTransportation Research Board.1 indexed citations
12.
Saeedmanesh, Mohammadreza, et al.. (2018). Improving Network Travel Time Reliability Estimation with Network Partitioning. Transportation Research Board 97th Annual MeetingTransportation Research Board.1 indexed citations
13.
Zockaie, Ali, Timothy J. Gates, Peter T. Savolainen, et al.. (2018). Evaluation of a Collision Avoidance and Mitigation System (CAMS) on Winter Maintenance Trucks.4 indexed citations
14.
Zockaie, Ali, et al.. (2016). Network-wide Time-dependent Link Travel Time Distributions with Temporal and Spatial Correlations. Transportation Research Board 95th Annual MeetingTransportation Research Board.1 indexed citations
Zockaie, Ali, et al.. (2015). Towards Integrating an Activity-Based Model with Dynamic Traffic 1뀀Ƞ Assignment considering Heterogeneous User Preferences and Reliability 2뀀Ƞ Valuation: Application to Toll Revenue Forecasting in Chicago.3 indexed citations
Zockaie, Ali, Ying Chen, & Hani S. Mahmassani. (2014). Adaptive Drivers and Time-Dependent Origin-Destination Demand Estimation: Methodology and Application to Large-Scale Network. Transportation Research Board 93rd Annual MeetingTransportation Research Board.8 indexed citations
19.
Ghamami, Mehrnaz, Yu Nie, & Ali Zockaie. (2014). Planning Plug-in Electrical Vehicles Charging Infrastructure in City Centers. Transportation Research Board 93rd Annual MeetingTransportation Research Board.3 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.