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.
The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions
Countries citing papers authored by Shaw‐Pin Miaou
Since
Specialization
Citations
This map shows the geographic impact of Shaw‐Pin Miaou'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 Shaw‐Pin Miaou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaw‐Pin Miaou more than expected).
This network shows the impact of papers produced by Shaw‐Pin Miaou. 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 Shaw‐Pin Miaou. The network helps show where Shaw‐Pin Miaou may publish in the future.
Co-authorship network of co-authors of Shaw‐Pin Miaou
This figure shows the co-authorship network connecting the top 25 collaborators of Shaw‐Pin Miaou.
A scholar is included among the top collaborators of Shaw‐Pin Miaou 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 Shaw‐Pin Miaou. Shaw‐Pin Miaou is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Miaou, Shaw‐Pin. (1996). Estimating vehicle roadside encroachment frequency using accident prediction models. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
Miaou, Shaw‐Pin. (1995). FACTORS ASSOCIATED WITH AGGREGATE CAR SCRAPPAGE RATE IN THE UNITED STATES: 1966-1992. Transportation Research Record Journal of the Transportation Research Board. 3–9.4 indexed citations
13.
Miaou, Shaw‐Pin. (1994). The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions. Accident Analysis & Prevention. 26(4). 471–482.623 indexed citations breakdown →
14.
Miaou, Shaw‐Pin & H S Lum. (1993). STATISTICAL EVALUATION OF THE EFFECTS OF HIGHWAY GEOMETRIC DESIGN ON TRUCK ACCIDENT INVOLVEMENTS. Transportation Research Record Journal of the Transportation Research Board.48 indexed citations
Miaou, Shaw‐Pin, et al.. (1993). Development of Relationship Between Truck Accidents and Geometric Design: Phase I.19 indexed citations
17.
Miaou, Shaw‐Pin, Patricia S. Hu, Tommy Wright, Ajay K. Rathi, & Stacy Cagle Davis. (1992). RELATIONSHIP BETWEEN TRUCK ACCIDENTS AND HIGHWAY GEOMETRIC DESIGN: A POISSON REGRESSION APPROACH. Transportation Research Record Journal of the Transportation Research Board.81 indexed citations
18.
Chin, Sang, et al.. (1992). Transportation demand forecasting with a computer-simulated neural network model.10 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.