Joel M. Cooper

2.3k total citations
66 papers, 1.6k citations indexed

About

Joel M. Cooper is a scholar working on Social Psychology, Safety, Risk, Reliability and Quality and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Joel M. Cooper has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Social Psychology, 30 papers in Safety, Risk, Reliability and Quality and 17 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Joel M. Cooper's work include Human-Automation Interaction and Safety (59 papers), Traffic and Road Safety (29 papers) and Older Adults Driving Studies (17 papers). Joel M. Cooper is often cited by papers focused on Human-Automation Interaction and Safety (59 papers), Traffic and Road Safety (29 papers) and Older Adults Driving Studies (17 papers). Joel M. Cooper collaborates with scholars based in United States, Canada and Australia. Joel M. Cooper's co-authors include David L. Strayer, Francesco Biondi, James R. Coleman, Jonna Turrill, Frank A. Drews, Nathan Medeiros-Ward, Rachel J. Hopman, Diane N. Ruble, David M. Sanbonmatsu and Susan T. Chrysler and has published in prestigious journals such as Child Development, Experimental Brain Research and Frontiers in Psychology.

In The Last Decade

Joel M. Cooper

65 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joel M. Cooper United States 19 1.3k 726 249 234 230 66 1.6k
Francesco Biondi United States 19 879 0.7× 471 0.6× 249 1.0× 205 0.9× 206 0.9× 58 1.3k
Nick Reed United Kingdom 19 762 0.6× 472 0.7× 305 1.2× 180 0.8× 298 1.3× 58 1.4k
Joanne L. Harbluk Canada 14 1.2k 0.9× 679 0.9× 216 0.9× 257 1.1× 568 2.5× 23 1.7k
Jonathan F. Antin United States 16 928 0.7× 1.0k 1.4× 470 1.9× 123 0.5× 99 0.4× 39 1.7k
Jordan Navarro France 24 1.1k 0.9× 460 0.6× 231 0.9× 165 0.7× 490 2.1× 92 1.7k
Simon G. Hosking Australia 10 636 0.5× 526 0.7× 131 0.5× 223 1.0× 137 0.6× 33 994
Miguel A. Recarte Spain 10 1.2k 0.9× 686 0.9× 147 0.6× 202 0.9× 333 1.4× 22 1.5k
Suzanne E. Lee United States 18 1.2k 1.0× 1.7k 2.3× 500 2.0× 164 0.7× 106 0.5× 38 2.3k
Donald L. Fisher United States 25 1.1k 0.9× 933 1.3× 236 0.9× 381 1.6× 898 3.9× 95 2.6k
Leo Gugerty United States 17 702 0.6× 374 0.5× 198 0.8× 117 0.5× 95 0.4× 56 1.1k

Countries citing papers authored by Joel M. Cooper

Since Specialization
Citations

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

Fields of papers citing papers by Joel M. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joel M. Cooper

This figure shows the co-authorship network connecting the top 25 collaborators of Joel M. Cooper. A scholar is included among the top collaborators of Joel M. Cooper 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 Joel M. Cooper. Joel M. Cooper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sanbonmatsu, David M., et al.. (2024). Automated driving experiences, attention, and intentions following extensive on-road usage of a level 2 automation vehicle. Journal of Safety Research. 90. 199–207.
2.
Lohani, Monika, et al.. (2024). Reliable but multi-dimensional cognitive demand in operating partially automated vehicles: implications for real-world automation research. Cognitive Research Principles and Implications. 9(1). 60–60. 1 indexed citations
3.
Cooper, Joel M., et al.. (2023). Driver behavior while using Level 2 vehicle automation: a hybrid naturalistic study. Cognitive Research Principles and Implications. 8(1). 71–71. 4 indexed citations
4.
Strayer, David L., et al.. (2022). The persistence of distraction: The hidden costs of intermittent multitasking.. Journal of Experimental Psychology Applied. 28(2). 262–282. 10 indexed citations
5.
Heathcote, Andrew, et al.. (2022). Dynamic workload measurement and modeling: Driving and conversing.. Journal of Experimental Psychology Applied. 29(3). 645–653. 2 indexed citations
6.
Boehm, Udo, Dóra Matzke, Joel M. Cooper, et al.. (2021). Correction to: Real-time prediction of short-timescale fluctuations in cognitive workload. Cognitive Research Principles and Implications. 6(1). 62–62. 1 indexed citations
7.
Cooper, Joel M., et al.. (2020). Age-Related Differences in the Cognitive, Visual, and Temporal Demands of In-Vehicle Information Systems. Frontiers in Psychology. 11. 1154–1154. 3 indexed citations
8.
Strayer, David L., et al.. (2019). Assessing the visual and cognitive demands of in-vehicle information systems. Cognitive Research Principles and Implications. 4(1). 18–18. 57 indexed citations
9.
Strayer, David L., Joel M. Cooper, Jonna Turrill, James R. Coleman, & Rachel J. Hopman. (2017). The smartphone and the driver’s cognitive workload: A comparison of Apple, Google, and Microsoft’s intelligent personal assistants.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 71(2). 93–110. 66 indexed citations
10.
Biondi, Francesco, James R. Coleman, Joel M. Cooper, & David L. Strayer. (2017). Heart Rate Detection for Driver Monitoring Systems. Transportation Research Board 96th Annual MeetingTransportation Research Board. 4 indexed citations
11.
Biondi, Francesco, et al.. (2017). Visual and Cognitive Demands of Using In-Vehicle Information Systems. 5 indexed citations
12.
Strayer, David L., Joel M. Cooper, Jonna Turrill, James R. Coleman, & Rachel J. Hopman. (2016). Talking to your car can drive you to distraction. Cognitive Research Principles and Implications. 1(1). 16–16. 35 indexed citations
13.
Coleman, James R., Jonna Turrill, Rachel J. Hopman, Joel M. Cooper, & David L. Strayer. (2015). Assessing Cognitive Distraction Using Event Related Potentials. 2 indexed citations
14.
Hopman, Rachel J., James R. Coleman, Jonna Turrill, Joel M. Cooper, & David L. Strayer. (2015). The Smartphone and the Driver’s Cognitive Workload: A Comparison of Apple, Google, and Microsoft’s Intelligent Personal Assistants. 9 indexed citations
15.
Chrysler, Susan T., Joel M. Cooper, & Dawn Marshall. (2015). The Cost of Warning of Unseen Threats: Unintended Consequences of Connected Vehicle Alerts. 4 indexed citations
16.
Strayer, David L., Jonna Turrill, Joel M. Cooper, et al.. (2015). Assessing Cognitive Distraction in the Automobile. Human Factors The Journal of the Human Factors and Ergonomics Society. 57(8). 1300–1324. 155 indexed citations
17.
Cooper, Joel M., et al.. (2014). Mental Workload of Common Voice-Based Vehicle Interactions across Six Different Vehicle Systems. 17 indexed citations
18.
Strayer, David L., et al.. (2014). Measuring Cognitive Distraction in the Automobile II: Assessing In-Vehicle Voice-Based InteractiveTechnologies. 56 indexed citations
19.
Strayer, David L., et al.. (2013). Measuring Cognitive Distraction in the Automobile. 114 indexed citations
20.
Cooper, Joel M., et al.. (2009). Importance of Integrating Driving and Traffic Simulations: Case Study of Impact of Cell Phone Drivers on Traffic Flow. Transportation Research Board 88th Annual MeetingTransportation Research Board. 6 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.

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