Countries citing papers authored by David A. Noyce
Since
Specialization
Citations
This map shows the geographic impact of David A. Noyce'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 David A. Noyce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Noyce more than expected).
This network shows the impact of papers produced by David A. Noyce. 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 David A. Noyce. The network helps show where David A. Noyce may publish in the future.
Co-authorship network of co-authors of David A. Noyce
This figure shows the co-authorship network connecting the top 25 collaborators of David A. Noyce.
A scholar is included among the top collaborators of David A. Noyce 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 David A. Noyce. David A. Noyce is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chitturi, Madhav, et al.. (2018). Sign Occlusion Impacts of Truck Platooning on Highways. Transportation Research Board 97th Annual MeetingTransportation Research Board.1 indexed citations
11.
Shaw, John, Madhav Chitturi, Andrea Bill, & David A. Noyce. (2018). Driver Comprehension of Lane Reduction Signage: Alternatives to the MUTCD W4-2 for Work Zones. Transportation Research Board 97th Annual MeetingTransportation Research Board.1 indexed citations
12.
Noyce, David A., et al.. (2016). Automated Turning Movement Counts for Shared Lanes Using Existing Vehicle Detection Infrastructure.1 indexed citations
13.
Shaw, John & David A. Noyce. (2015). Are Microsimulation Models Random Enough? A Comparison of Modeled and Observed Stochasticity. Transportation Research Board 94th Annual MeetingTransportation Research Board.2 indexed citations
14.
Li, Zhixia, et al.. (2013). Calibration of VISSIM Roundabout Model: A Critical Gap and Follow-up Headway Approach. Transportation Research Board 92nd Annual MeetingTransportation Research Board.13 indexed citations
15.
Chitturi, Madhav, et al.. (2012). Injury Outcomes and Costs for Cross-Median, Median Barrier, Median Entry, and Run-off-the-Road Crashes. Transportation Research Board 91st Annual MeetingTransportation Research Board.2 indexed citations
16.
Noyce, David A., et al.. (2009). Intersection Signal Systems with Intelligent Pedestrian Accommodation: Dynamic Pedestrian Timing. Transportation Research Board 88th Annual MeetingTransportation Research Board.2 indexed citations
17.
Knödler, Michael, et al.. (2007). An Evaluation of Driver Comprehension of Solid Yellow Indications Resulting from Implementation of Flashing Yellow Arrow. Transportation Research Board 86th Annual MeetingTransportation Research Board.3 indexed citations
18.
Noyce, David A., et al.. (2003). EVALUATION OF TRAFFIC SIGNAL DISPLAYS FOR PROTECTED/PERMISSIVE LEFT-TURN CONTROL. National Cooperative Highway Research Program report.39 indexed citations
19.
Noyce, David A., et al.. (2000). AN EVALUATION OF FIVE-SECTION PROTECTED/PERMITTED LEFT-TURN SIGNAL DISPLAYS USING ADVANCED DRIVING SIMULATOR TECHNOLOGY.4 indexed citations
20.
Noyce, David A.. (1999). Human factors considerations in the selection of a uniform protected/permitted left-turn signal display. Minds at UW (University of Wisconsin).2 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.