John M. Scanlon

33 papers receiving 618 citations

Peers

John M. Scanlon
Comparison fields: 5 of 67
  • Safety, Risk, Reliability and Quality 304
  • Automotive Engineering 254
  • Control and Systems Engineering 153
  • Social Psychology 106
  • Physical Therapy, Sports Therapy and Rehabilitation 22
Replace Rini Sherony with:
Rini Sherony United States
R D Ervin United States
Niccolò Baldanzini Italy
Scott E. Bogard United States
David H. Weir United States
Kristofer D. Kusano United States
Matthias Schreier Germany
Huiqin Chen China
Lars Drugge Sweden
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Countries citing papers authored by John M. Scanlon

Since Specialization
Citations

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

Fields of papers citing papers by John M. Scanlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013139
2 2021118
3 201553
4 201749
5 201734
6 201930
7 201621
8 202420
9
Potential safety benefits of lane departure warning and prevention systems in the U.S. vehicle fleet
201518
10
Fly Ash Concrete: An Evaluation Of Chloride Penetration Testing Methods
199616
11 202316
12 201615
13 202114
14 201714
15 201613
16 202412
17 201612
18 201911
19 201511
20 20197

About John M. Scanlon

John M. Scanlon is a scholar working on Safety, Risk, Reliability and Quality, Automotive Engineering, Social Psychology, Civil and Structural Engineering and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 666 indexed citations. Recurring topics across this work include Traffic and Road Safety (23 papers), Human-Automation Interaction and Safety (8 papers), Autonomous Vehicle Technology and Safety (6 papers), Automotive and Human Injury Biomechanics (5 papers), Traffic Prediction and Management Techniques (3 papers), Fire effects on concrete materials (2 papers), Building materials and conservation (2 papers) and Older Adults Driving Studies (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (304 citations), Automotive Engineering (254 citations), Control and Systems Engineering (153 citations), Social Psychology (106 citations) and Physical Therapy, Sports Therapy and Rehabilitation (22 citations). John M. Scanlon has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Hampton C. Gabler, Kristofer D. Kusano, Rini Sherony, Abdessattar Abdelkefi, Edward D. McDowell, Muhammad R. Hajj, Trent Victor, Timothy L. McMurry, Eamon T. Campolettano and Jeff R. Crandall. Their work appears in journals such as Traffic Injury Prevention, SAE technical papers on CD-ROM/SAE technical paper series, Accident Analysis & Prevention, Applied Physics Letters and IEEE Transactions on Intelligent Vehicles.

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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