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.
A Review of Traffic Congestion Prediction Using Artificial Intelligence
Countries citing papers authored by Sara Moridpour
Since
Specialization
Citations
This map shows the geographic impact of Sara Moridpour'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 Sara Moridpour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Moridpour more than expected).
This network shows the impact of papers produced by Sara Moridpour. 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 Sara Moridpour. The network helps show where Sara Moridpour may publish in the future.
Co-authorship network of co-authors of Sara Moridpour
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Moridpour.
A scholar is included among the top collaborators of Sara Moridpour 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 Sara Moridpour. Sara Moridpour is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Moridpour, Sara, et al.. (2018). Development of Random Forests Regression Model to Predict Track Degradation Index: Melbourne Case Study. RMIT Research Repository (RMIT University Library).5 indexed citations
Moridpour, Sara, et al.. (2017). Rail Degradation Predication: Melbourne Tram System Case Study. RMIT Research Repository (RMIT University Library).1 indexed citations
7.
Saghapour, Tayebeh, Sara Moridpour, & Russell G. Thompson. (2017). Accessibility measures versus land use measures in active transport modelling. Transport Research Forum.1 indexed citations
8.
Moridpour, Sara, et al.. (2017). Exploring the Factors Affecting Bicycle Crash Severity in Victoria, Australia. Transportation Research Board 96th Annual MeetingTransportation Research Board.1 indexed citations
9.
Moridpour, Sara, et al.. (2017). Analysis of Injury Severity in Heavy Vehicles Angle Crashes. Figshare. 1–10.3 indexed citations
10.
Moridpour, Sara, et al.. (2017). Managing heavy vehicle drivers' fatigue: A critical review of the literature and safe system interventions. RMIT Research Repository (RMIT University Library).1 indexed citations
11.
Moridpour, Sara, et al.. (2016). Headway distributions in urban highways under heavy traffic conditions. RMIT Research Repository (RMIT University Library).2 indexed citations
12.
Moridpour, Sara, et al.. (2016). A logistic regression model for hit and run bicycle crashes in Victoria, Australia. Transport Research Forum.1 indexed citations
13.
Moridpour, Sara, et al.. (2016). Factors affecting bicycle fatal and serious injury crashes in Victoria, Australia. RMIT Research Repository (RMIT University Library). 1–12.5 indexed citations
14.
Saghapour, Tayebeh, Sara Moridpour, & Russell G. Thompson. (2016). Estimating Public Transport Accessibility in Metropolitan Areas Incorporating Population Density. RMIT Research Repository (RMIT University Library). 1–15.4 indexed citations
15.
Moridpour, Sara, Geoff Rose, Majid Sarvi, & Ehsan Mazloumi. (2012). Influence of the surrounding traffic characteristics on lane changing decision of heavy vehicle drivers. Road and transport research. 21(3). 19–33.7 indexed citations
16.
Mazloumi, Ehsan, et al.. (2011). A practical tool to optimise transit schedule timing points and slack times: An ant algorithm application. RMIT Research Repository (RMIT University Library). 1–18.2 indexed citations
17.
Moridpour, Sara, et al.. (2009). Understanding Heavy-Vehicle Drivers’ Lane-Changing Decisions. RMIT Research Repository (RMIT University Library). 1–9.4 indexed citations
18.
Moridpour, Sara, et al.. (2008). Variables influencing lane changing behaviour of heavy vehicles. Transport Research Forum. 1–15.4 indexed citations
Moridpour, Sara, Majid Sarvi, & Geoff Rose. (2007). Modelling lane changing behaviour of heavy commercial vehicles. RMIT Research Repository (RMIT University Library). 1–15.1 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.