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.
Real-time road traffic prediction with spatio-temporal correlations
This map shows the geographic impact of Laura Wynter'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 Laura Wynter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Wynter more than expected).
This network shows the impact of papers produced by Laura Wynter. 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 Laura Wynter. The network helps show where Laura Wynter may publish in the future.
Co-authorship network of co-authors of Laura Wynter
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Wynter.
A scholar is included among the top collaborators of Laura Wynter 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 Laura Wynter. Laura Wynter is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
He, Jingrui, et al.. (2013). Improving traffic prediction with tweet semantics. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 1387–1393.64 indexed citations
11.
Shen, Wei & Laura Wynter. (2012). Real-time road traffic fusion and prediction with GPS and fixed-sensor data. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 1468–1475.7 indexed citations
12.
Wynter, Laura & Wei Shen. (2012). Real-Time Traffic Prediction Using GPS Data with Low Sampling Rates: A Hybrid Approach. Transportation Research Board 91st Annual MeetingTransportation Research Board.6 indexed citations
13.
Altman, Eitan & Laura Wynter. (2004). Special issue on crossovers between transportation and telecommunication modeling. Networks and Spatial Economics. 4(1).4 indexed citations
Quadrat, Jean-Pierre, et al.. (2003). The Traffic Assignment Toolboxes of Scilab. HAL (Le Centre pour la Communication Scientifique Directe).3 indexed citations
Wynter, Laura. (1995). THE VALUE OF TIME OF FREIGHT TRANSPORT IN FRANCE: ESTIMATION OF CONTINUOUSLY DISTRIBUTED VALUES FROM A STATED PREFERENCE SURVEY..8 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.