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.
Discrete Choice Analysis: Theory and Application to Travel Demand.
Citations per year, relative to Moshe Ben‐Akiva Moshe Ben‐Akiva (= 1×)
peers
Chandra R. Bhat
Countries citing papers authored by Moshe Ben‐Akiva
Since
Specialization
Citations
This map shows the geographic impact of Moshe Ben‐Akiva'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 Moshe Ben‐Akiva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe Ben‐Akiva more than expected).
This network shows the impact of papers produced by Moshe Ben‐Akiva. 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 Moshe Ben‐Akiva. The network helps show where Moshe Ben‐Akiva may publish in the future.
Co-authorship network of co-authors of Moshe Ben‐Akiva
This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Ben‐Akiva.
A scholar is included among the top collaborators of Moshe Ben‐Akiva 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 Moshe Ben‐Akiva. Moshe Ben‐Akiva is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chen, Siyu, Ravi Seshadri, Carlos Lima Azevedo, et al.. (2023). Market design for tradable mobility credits. Transportation Research Part C Emerging Technologies. 151. 104121–104121.8 indexed citations
Stinson, Monique, et al.. (2018). Combining GPS Data Collection with Assisted Machine Learning to Enhance Freight Vehicle and Driver Surveys: Methodology and Demonstration. Transportation Research Board 97th Annual MeetingTransportation Research Board.3 indexed citations
8.
Song, Xiang, Bilge Atasoy, & Moshe Ben‐Akiva. (2017). Smart Mobility through Personalized Menu Optimization. Transportation Research Board 96th Annual MeetingTransportation Research Board.1 indexed citations
9.
Carrión, Carlos, et al.. (2014). Evaluating FMS: A Preliminary Comparison with a Traditional Travel Survey. Transportation Research Board 93rd Annual MeetingTransportation Research Board.18 indexed citations
10.
Abou-Zeid, Maya, et al.. (2013). Travel Time Modeling with Taxi GPS and Household Survey Data. Transportation Research Board 92nd Annual MeetingTransportation Research Board.2 indexed citations
Ben‐Akiva, Moshe, et al.. (2010). High Speed Rail Demand Forecasting: Italian Case Study.6 indexed citations
13.
Hess, Stephane, Moshe Ben‐Akiva, Dinesh Gopinath, & Joan L. Walker. (2009). Taste Heterogeneity, Correlation, and Elasticities in Latent Class Choice Models. Transportation Research Board 88th Annual MeetingTransportation Research Board.16 indexed citations
14.
Balakrishna, Ramachandran, Constantinos Antoniou, Haris N. Koutsopoulos, Wen Yang, & Moshe Ben‐Akiva. (2008). Calibrating Speed-Density Functions for Mesoscopic Traffic Simulation. Transportation research circular.3 indexed citations
15.
Choudhury, Charisma F., Moshe Ben‐Akiva, Tomer Toledo, Gunwoo Lee, & A. Papa Rao. (2007). Modeling Cooperative Lane Changing and Forced Merging Behavior. Transportation Research Board 86th Annual MeetingTransportation Research Board.50 indexed citations
16.
Park, Byungkyu, et al.. (2006). Evaluation of DynaMIT - A Prototype Traffic Estimation and Prediction System. Kagoshima Kenritsu Tanki Daigaku Chiiki Kenkyūjo kenkyū nenpō.4 indexed citations
17.
Ben‐Akiva, Moshe, Denis Bolduc, & Mark Bradley. (1993). Estimation of Travel Choice Models with Randomly Distributed Values of Time. Transportation Research Record Journal of the Transportation Research Board. 88–97.76 indexed citations
18.
Ben‐Akiva, Moshe, et al.. (1989). DATA FUSION METHODS AND THEIR APPLICATIONS TO ORIGIN-DESTINATION TRIP TABLES. 4.3 indexed citations
19.
Prashker, Joseph N., et al.. (1986). DAY-OF-THE-WEEK MODELS OF SHOPPING ACTIVITY PATTERNS. Transportation Research Record Journal of the Transportation Research Board.11 indexed citations
20.
Ben‐Akiva, Moshe. (1974). STRUCTURE OF PASSENGER TRAVEL DEMAND MODELS. Transportation Research Record Journal of the Transportation Research Board.247 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.