Shane McLaughlin

26 papers receiving 394 citations

Peers

Shane McLaughlin
Comparison fields: 5 of 78
  • Safety, Risk, Reliability and Quality 276
  • Social Psychology 232
  • Automotive Engineering 126
  • Physical Therapy, Sports Therapy and Rehabilitation 42
  • Transportation 62
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Stefan Brandenburg Germany
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Citations per year

Countries citing papers authored by Shane McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by Shane McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010134
2 200785
3
Contributing Factors to Run-off-road Crashes and Near-crashes
200936
4 201026
5 202120
6
Driver performance evaluation of two rear parking aids
200317
7 201614
8 201613
9 200212
10 201510
11 20048
12 20197
13 20047
14 20175
15 20155
16
Method for identifying rural, urban, and interstate driving in naturalistic driving data : final report
20094
17 20233
18 20153
19
Crowd-sourced Connected-vehicle Warning Algorithm using Naturalistic Driving Data
20143
20 20123

About Shane McLaughlin

Shane McLaughlin is a scholar working on Safety, Risk, Reliability and Quality, Automotive Engineering, Social Psychology, Transportation and Physical Therapy, Sports Therapy and Rehabilitation, having authored 30 papers that have together received 434 indexed citations. Recurring topics across this work include Traffic and Road Safety (18 papers), Human-Automation Interaction and Safety (10 papers), Vehicle emissions and performance (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Older Adults Driving Studies (4 papers), Urban Transport and Accessibility (4 papers), Traffic Prediction and Management Techniques (3 papers) and Impact of Light on Environment and Health (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (276 citations), Social Psychology (232 citations), Automotive Engineering (126 citations), Physical Therapy, Sports Therapy and Rehabilitation (42 citations) and Transportation (62 citations). Shane McLaughlin has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Jeremy Sudweeks, Justin M. Owens, Jonathan M. Hankey, Thomas A. Dingus, Sheila G. Klauer, Mehdi Ahmadian, Charles A. Green, Zachary R. Doerzaph, Imtiaz Haque and Miao Song. Their work appears in journals such as Accident Analysis & Prevention, SAE technical papers on CD-ROM/SAE technical paper series, Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics, The Journal of Geology and IEEE Transactions on Intelligent Transportation Systems.

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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