Daniel V. McGehee

85 papers receiving 2.3k citations

Peers

Daniel V. McGehee
Comparison fields: 5 of 106
  • Safety, Risk, Reliability and Quality 1.5k
  • Physical Therapy, Sports Therapy and Rehabilitation 483
  • Social Psychology 1.6k
  • Transportation 376
  • Automotive Engineering 641
Replace Suzanne E. Lee with:
Suzanne E. Lee United States
Miguel A. Pérez United States
Jonathan M. Hankey United States
A. Hamish Jamson United Kingdom
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Mark Vollrath Germany
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Daniel V. McGehee relative to Suzanne E. Lee United States Suzanne E. Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel V. McGehee

Since Specialization
Citations

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

Fields of papers citing papers by Daniel V. McGehee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel V. McGehee. 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 Daniel V. McGehee. The network helps show where Daniel V. McGehee may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel V. McGehee, 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 Daniel V. McGehee Line = papers co-authored together Daniel V. McGehee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002436
2 2001185
3 2018169
4 1997146
5 2007138
6 1997124
7 2000120
8 200186
9 201071
10 200668
11 200460
12
Vehicle Owners’ Experiences with and Reactions to Advanced Driver Assistance Systems
201852
13 200645
14 201344
15 200241
16 200440
17 201635
18 201633
19 200231
20 200628

About Daniel V. McGehee

Daniel V. McGehee is a scholar working on Safety, Risk, Reliability and Quality, Social Psychology, Automotive Engineering, Transportation and Public Health, Environmental and Occupational Health, having authored 93 papers that have together received 2.5k indexed citations. Recurring topics across this work include Traffic and Road Safety (65 papers), Human-Automation Interaction and Safety (60 papers), Safety Warnings and Signage (26 papers), Autonomous Vehicle Technology and Safety (16 papers), Urban Transport and Accessibility (12 papers), Injury Epidemiology and Prevention (10 papers), Older Adults Driving Studies (9 papers) and Automotive and Human Injury Biomechanics (7 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (1.5k citations), Physical Therapy, Sports Therapy and Rehabilitation (483 citations), Social Psychology (1.6k citations), Transportation (376 citations) and Automotive Engineering (641 citations). Daniel V. McGehee has collaborated with scholars based in United States, Norway and Switzerland. Frequent co-authors include John D. Lee, Timothy L. Brown, Michelle L. Reyes, Cher Carney, Matthew Rizzo, Jeffrey D. Dawson, Thomas A. Dingus, Elizabeth N. Mazzae, G. H. Scott Baldwin and Steven W. Anderson. Their work appears in journals such as Journal of Safety Research, Human Factors The Journal of the Human Factors and Ergonomics Society, Traffic Injury Prevention, Accident Analysis & Prevention and Transportation Research Part F Traffic Psychology and Behaviour.

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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