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 100-Car Naturalistic Driving Study: Phase II - Results of the 100-Car Field Experiment
Citations per year, relative to R R Knipling R R Knipling (= 1×)
peers
Vicki L. Neale
Countries citing papers authored by R R Knipling
Since
Specialization
Citations
This map shows the geographic impact of R R Knipling'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 R R Knipling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R R Knipling more than expected).
This network shows the impact of papers produced by R R Knipling. 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 R R Knipling. The network helps show where R R Knipling may publish in the future.
Co-authorship network of co-authors of R R Knipling
This figure shows the co-authorship network connecting the top 25 collaborators of R R Knipling.
A scholar is included among the top collaborators of R R Knipling 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 R R Knipling. R R Knipling is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Knipling, R R. (2007). The Domain of Truck and Bus Safety Research: Introduction. Transportation research circular. 1–8.1 indexed citations
7.
Knipling, R R, et al.. (2007). Compatibility of Trucks and Buses with the Roadway Environment. Transportation research circular. 138–146.2 indexed citations
8.
Knipling, R R, et al.. (2007). Commercial Driver Human Factors. Transportation research circular. 92–112.4 indexed citations
9.
Krueger, Gerald P., et al.. (2007). Health and Wellness of Commercial Drivers. Transportation research circular. 58–91.16 indexed citations
Stutts, J C, et al.. (2005). Guidance for Implementation of the AASHTO Strategic Highway Safety Plan. Volume 14: A Guide for Reducing Crashes Involving Drowsy and Distracted Drivers. National Cooperative Highway Research Program report.15 indexed citations
12.
Knipling, R R. (2005). Antisocial Drivers - Prosocial Driver Training for Prevention and Rehabilitation. Ergonomics in Design The Quarterly of Human Factors Applications. 13(3).4 indexed citations
13.
Knipling, R R, et al.. (2000). TRANSPORTATION SAFETY ISSUES.3 indexed citations
14.
Knipling, R R, et al.. (2000). PROSPECTUS, THE BEHAVIORAL POWER OF ON-BOARD SAFETY MONITORING FEEDBACK.1 indexed citations
15.
Jennings, Kenneth R., et al.. (2000). Commercial Vehicle Safety-Technology and Practice in Europe. Rosa P: A digital library for transportation research (United States Department of Transportation).4 indexed citations
16.
Knipling, R R. (1998). THE TECHNOLOGIES, ECONOMICS, AND PSYCHOLOGY OF COMMERCIAL MOTOR VEHICLE DRIVER FATIGUE MANAGEMENT.7 indexed citations
17.
Knipling, R R, et al.. (1996). MOTOR VEHICLE CRASH INVOLVEMENTS: A MULTI-DIMENSIONAL PROBLEM SIZE ASSESSMENT.11 indexed citations
18.
Knipling, R R, et al.. (1995). Revised estimates of the U.S. drowsy driver crash problem size based on general estimates system case reviews. 39. 451–466.35 indexed citations
19.
Knipling, R R, et al.. (1993). ASSESSMENT OF IVHS COUNTERMEASURES FOR COLLISION AVOIDANCE: REAR-END CRASHES. FINAL REPORT.7 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.