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.
How is COVID-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago
2020432 citationsAli Shamshiripour, Ehsan Rahimi et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Ramin Shabanpour
Since
Specialization
Citations
This map shows the geographic impact of Ramin Shabanpour'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 Ramin Shabanpour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramin Shabanpour more than expected).
Fields of papers citing papers by Ramin Shabanpour
This network shows the impact of papers produced by Ramin Shabanpour. 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 Ramin Shabanpour. The network helps show where Ramin Shabanpour may publish in the future.
Co-authorship network of co-authors of Ramin Shabanpour
This figure shows the co-authorship network connecting the top 25 collaborators of Ramin Shabanpour.
A scholar is included among the top collaborators of Ramin Shabanpour 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 Ramin Shabanpour. Ramin Shabanpour is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shabanpour, Ramin, Nima Golshani, & Abolfazl Mohammadian. (2019). Consumers’ Willingness to Adopt Autonomous and Electric Vehicles: A Cross-Generational Analysis. Transportation Research Board 98th Annual MeetingTransportation Research Board.2 indexed citations
Golshani, Nima, et al.. (2018). Modeling Evacuation Destination and Departure Time Choices for No-Notice Emergency Events. Transportation Research Board 97th Annual MeetingTransportation Research Board.1 indexed citations
Shabanpour, Ramin, Nima Golshani, Joshua Auld, & Abolfazl Mohammadian. (2017). Willingness-to-pay for automated vehicles: A random parameters and random thresholds HOPIT model.5 indexed citations
11.
Kermanshah, Amirhassan, et al.. (2017). Assessing Public Opinions on Uber as a Ridesharing Transportation System: Explanatory Analysis and Results of a Survey in Chicago Area. Transportation Research Board 96th Annual MeetingTransportation Research Board.5 indexed citations
12.
Shabanpour, Ramin, Nima Golshani, Sybil Derrible, Abolfazl Mohammadian, & Mohammad Miralinaghi. (2017). A Cluster-Based Joint Model of Travel Mode and Departure Time Choices. Transportation Research Board 96th Annual MeetingTransportation Research Board.1 indexed citations
13.
Golshani, Nima, et al.. (2017). Comparison of Artificial Neural Networks and Statistical Copula-Based Joint Models. Transportation Research Board 96th Annual MeetingTransportation Research Board.2 indexed citations
14.
Miralinaghi, Mohammad, Yingyan Lou, Burcu B. Keskin, Yu‐Ting Hsu, & Ramin Shabanpour. (2017). Hydrogen Refueling Station Location Problem with Traffic Deviation Considering Route Choice and Demand Uncertainty. Transportation Research Board 96th Annual MeetingTransportation Research Board.1 indexed citations
15.
Shabanpour, Ramin, Nima Golshani, Joshua Auld, & Abolfazl Mohammadian. (2017). Dynamics of Time-of-Day Choices in Agent-Based Dynamic Activity Planning and Travel Simulation (ADAPTS) Framework. Transportation Research Board 96th Annual MeetingTransportation Research Board.1 indexed citations
16.
Shabanpour, Ramin, et al.. (2017). Modeling Type and Duration of In-home Activities in ADAPTS Activity-Based Framework. Transportation Research Board 96th Annual MeetingTransportation Research Board.2 indexed citations
17.
Golshani, Nima, Ramin Shabanpour, Abolfazl Mohammadian, & Joshua Auld. (2017). Activity start time and duration: Incorporating hybrid utility-regret decision rules in joint models.2 indexed citations
Shabanpour, Ramin, et al.. (2016). Implementation of Scheduling Conflict Resolution Model in ADAPTS: Activity-Based Model Using Linear Programming Approach. Transportation Research Board 95th Annual MeetingTransportation Research Board.1 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.