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.
What influences travelers to use Uber? Exploring the factors affecting the adoption of on-demand ride services in California
2018370 citationsFarzad Alemi, Giovanni Circella et al.Travel Behaviour and Societyprofile →
Citations per year, relative to Farzad Alemi Farzad Alemi (= 1×)
peers
Xinmiao Yang
Countries citing papers authored by Farzad Alemi
Since
Specialization
Citations
This map shows the geographic impact of Farzad Alemi'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 Farzad Alemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farzad Alemi more than expected).
This network shows the impact of papers produced by Farzad Alemi. 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 Farzad Alemi. The network helps show where Farzad Alemi may publish in the future.
Co-authorship network of co-authors of Farzad Alemi
This figure shows the co-authorship network connecting the top 25 collaborators of Farzad Alemi.
A scholar is included among the top collaborators of Farzad Alemi 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 Farzad Alemi. Farzad Alemi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Alemi, Farzad & Giovanni Circella. (2019). Exploring the Relationships between the Use of Uber and Lyft and Other Components of Travel Behavior in California. Transportation Research Board 98th Annual MeetingTransportation Research Board.1 indexed citations
5.
Alemi, Farzad, Giovanni Circella, & Daniel Sperling. (2018). Adoption of Uber and Lyft, Factors Limiting and/or Encouraging Their Use and Impacts on Other Travel Modes among Millennials and Gen Xers in California. Transportation Research Board 97th Annual MeetingTransportation Research Board.9 indexed citations
6.
Alemi, Farzad, et al.. (2018). On-Demand Ride Services in California: Investigating the Factors Affecting the Frequency of Use of Uber/Lyft. Transportation Research Board 97th Annual MeetingTransportation Research Board.13 indexed citations
Alemi, Farzad, Giovanni Circella, Susan Handy, & Patricia L. Mokhtarian. (2018). What influences travelers to use Uber? Exploring the factors affecting the adoption of on-demand ride services in California. Travel Behaviour and Society. 13. 88–104.370 indexed citations breakdown →
9.
Alemi, Farzad. (2018). What Makes Travelers Use Ridehailing? Exploring the Latent Constructs behind the Adoption and Frequency of Use of Ridehailing Services, and Their Impacts on the Use of Other Travel Modes. eScholarship (California Digital Library).6 indexed citations
Circella, Giovanni, et al.. (2017). What Drives Millennials: A Comparison of Vehicle Miles Traveled Between Millennials and Generation X in California. Transportation Research Board 96th Annual MeetingTransportation Research Board.2 indexed citations
12.
Circella, Giovanni, Farzad Alemi, Rosaria M Berliner, et al.. (2017). The Multimodal Behavior of Millennials: Exploring Differences in Travel Choices between Young Adults and Gen Xers in California. Transportation Research Board 96th Annual MeetingTransportation Research Board.16 indexed citations
13.
Alemi, Farzad, Giovanni Circella, Susan Handy, & Patricia L. Mokhtarian. (2017). What Influences Travelers to Use Uber? Exploring the Factors Affecting the Adoption of On-Demand Ride Services. Transportation Research Board 96th Annual MeetingTransportation Research Board.9 indexed citations
Alemi, Farzad & Caroline Rodier. (2016). Simulation of Ridesourcing Using Agent-Based Demand and Supply Regional Models: Potential Market Demand for First-Mile Transit Travel and Reduction in Vehicle Miles Traveled in the San Francisco Bay Area. eScholarship (California Digital Library).6 indexed citations
16.
Rodier, Caroline, et al.. (2016). Dynamic Ridesharing: An Exploration of the Potential for Reduction in Vehicle Miles Traveled. eScholarship (California Digital Library).1 indexed citations
Rodier, Caroline, Farzad Alemi, & Robert A. Johnston. (2015). Exploring unintended environmental and social-equity consequences of transit oriented development : a research report from the National Center for Sustainable Transportation..2 indexed citations
19.
Rodier, Caroline, et al.. (2015). Synergistic Interactions of Dynamic Ridesharing and Batt ery Electric Vehicles Land Use, Transit, and Auto Pricing Policies. San José State University ScholarWorks (San Jose State University).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.