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.
Lane-changing in traffic streams
2005524 citationsJorge Laval, Carlos F. DaganzoTransportation Research Part B Methodologicalprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Jorge Laval'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 Jorge Laval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Laval more than expected).
This network shows the impact of papers produced by Jorge Laval. 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 Jorge Laval. The network helps show where Jorge Laval may publish in the future.
Co-authorship network of co-authors of Jorge Laval
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Laval.
A scholar is included among the top collaborators of Jorge Laval 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 Jorge Laval. Jorge Laval is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhou, Hao & Jorge Laval. (2019). Longitudinal Motion Planning for Autonomous Vehicles and Its Impact on Congestion: A Survey. arXiv (Cornell University).5 indexed citations
6.
Laval, Jorge, et al.. (2019). The LWR Model with a Stochastic Speed-Density Relation. Transportation Research Board 98th Annual MeetingTransportation Research Board.1 indexed citations
7.
Laval, Jorge, et al.. (2018). Parameter Estimation of a Stochastic Microscopic Car-Following Model. Transportation Research Board 97th Annual MeetingTransportation Research Board.1 indexed citations
Guensler, Randall, et al.. (2015). An Empirical Data-Driven Macroscopic Lane Changing Model. Transportation Research Board 94th Annual MeetingTransportation Research Board.1 indexed citations
Chilukuri, Bhargava Rama, Jorge Laval, & Danjue Chen. (2013). Some Traffic Features During On-ramp Queue Flush. Transportation Research Board 92nd Annual MeetingTransportation Research Board.1 indexed citations
14.
Laval, Jorge. (2010). Hysteresis in the Fundamental Diagram: Impact of Measurement Methods. Transportation Research Board 89th Annual MeetingTransportation Research Board.2 indexed citations
15.
Leclercq, Ludovic, Nicolas Chiabaut, Jorge Laval, & Christine Buisson. (2007). Relaxation Phenomenon After Changing Lanes: Experimental Validation with NGSIM Data Set. Transportation Research Record Journal of the Transportation Research Board.18 indexed citations
16.
Ahn, Soyoung, Michael J. Cassidy, & Jorge Laval. (2007). Effects of Merging and Diverging on Freeway Traffic Oscillations. Transportation Research Board 87th Annual MeetingTransportation Research Board.2 indexed citations
17.
Laval, Jorge & Carlos F. Daganzo. (2004). Multi-Lane Hybrid Traffic Flow Model: Quantifying the Impacts of Lane-Changing Maneuvers on Traffic Flow. eScholarship (California Digital Library).5 indexed citations
18.
Daganzo, Carlos F., Jorge Laval, & Juan Carlos Muñoz. (2002). Ten Strategies for Freeway Congestion Mitigation with Advanced Technologies. eScholarship (California Digital Library).29 indexed citations
19.
Laval, Jorge & Juan Carlos Muñoz. (2002). System Optimum Diversion of Congested Freeway Traffic. eScholarship (California Digital Library).2 indexed citations
20.
Daganzo, Carlos F., Jorge Laval, & Juan Carlos Muñoz. (2002). SOME IDEAS FOR FREEWAY CONGESTION MITIGATION WITH ADVANCED TECHNOLOGIES. Traffic engineering & control. 43(10). 397–403.23 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.