John Shaw

508 citations
35 papers · 410 · h-index 10

Impact in

    • Geology and Paleoclimatology Research
    • Cryospheric studies and observations
    • Transportation Planning and Optimization
    • Urban Transport and Accessibility

Papers in

John Shaw

28 papers receiving 359 citations

Peers

John Shaw
Comparison fields: 5 of 85
  • Atmospheric Science 188
  • Transportation 61
  • Geophysics 116
  • Earth-Surface Processes 45
  • Safety, Risk, Reliability and Quality 26
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Citations per field
00.5×2×3×3.6×
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Citations per year

Countries citing papers authored by John Shaw

Since Specialization
Citations

This map shows the geographic impact of John Shaw'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 John Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Shaw more than expected).

Fields of papers citing papers by John Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Shaw. 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 John Shaw. The network helps show where John Shaw may publish in the future.

Co-authors

The 25 scholars most cited alongside John Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Shaw Line = papers co-authored together John Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200089
2 197575
3 197774
4 201419
5 201919
6 197817
7
Strategies for Improving Race Relations: The Anglo-American Experience
198717
8 199514
9 201713
10 201712
11 20179
12 20077
13
Automated Optimal Balancing of Traffic Volume Data for Large Access-Controlled Highway Networks and Freeway-to-Freeway Interchanges
20145
14 20174
15 20214
16 20043
17 19953
18
Are Microsimulation Models Random Enough? A Comparison of Modeled and Observed Stochasticity
20152
19
Bicyclist and Pedestrian Safety in Work Zones: Recent Advances and Future Directions
20162
20 20162

About John Shaw

John Shaw is a scholar working on Transportation, Safety, Risk, Reliability and Quality, Automotive Engineering, Building and Construction and Social Psychology, having authored 35 papers that have together received 410 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (9 papers), Traffic and Road Safety (9 papers), Urban Transport and Accessibility (5 papers), Traffic Prediction and Management Techniques (4 papers), Vehicle emissions and performance (3 papers), Safety Warnings and Signage (3 papers), Infrastructure Maintenance and Monitoring (2 papers) and Transportation and Mobility Innovations (2 papers). The work is most often cited by research in Atmospheric Science (188 citations), Transportation (61 citations), Geophysics (116 citations), Earth-Surface Processes (45 citations) and Safety, Risk, Reliability and Quality (26 citations). John Shaw has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Mimi J. Hill, Vinod Arora, Rolf Kellerhals, David A. Noyce, Madhav Chitturi, J. T. Hagan, Chenhui Liu, Tim Rolph, Anuj Sharma and Chaoru Lu. Their work appears in journals such as Journal of Ethnic and Migration Studies, Transportation Research Part F Traffic Psychology and Behaviour, Canadian Journal of Earth Sciences, Journal of Public Transportation and Human Relations.

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.

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