Greg A. Jamieson

2.2k total citations
97 papers, 1.5k citations indexed

About

Greg A. Jamieson is a scholar working on Social Psychology, Radiological and Ultrasound Technology and Surgery. According to data from OpenAlex, Greg A. Jamieson has authored 97 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Social Psychology, 28 papers in Radiological and Ultrasound Technology and 16 papers in Surgery. Recurrent topics in Greg A. Jamieson's work include Human-Automation Interaction and Safety (82 papers), Occupational Health and Safety Research (28 papers) and Safety Warnings and Signage (17 papers). Greg A. Jamieson is often cited by papers focused on Human-Automation Interaction and Safety (82 papers), Occupational Health and Safety Research (28 papers) and Safety Warnings and Signage (17 papers). Greg A. Jamieson collaborates with scholars based in Canada, United States and Norway. Greg A. Jamieson's co-authors include Kim J. Vicente, Gyrd Skraaning, Justin G. Hollands, Birsen Donmez, Nathan Lau, Lu Wang, Catherine M. Burns, Heather F. Neyedli, Chris Miller and Joan A. Cadefau and has published in prestigious journals such as Journal of Applied Physiology, Artificial Intelligence and Accident Analysis & Prevention.

In The Last Decade

Greg A. Jamieson

92 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg A. Jamieson Canada 22 1.0k 410 224 208 178 97 1.5k
Debra G. Jones United States 10 786 0.8× 278 0.7× 142 0.6× 124 0.6× 141 0.8× 19 1.4k
Lisanne Bainbridge United Kingdom 9 1.0k 1.0× 324 0.8× 185 0.8× 213 1.0× 170 1.0× 14 1.6k
Daniel P. Jenkins United Kingdom 25 1.2k 1.2× 705 1.7× 72 0.3× 358 1.7× 314 1.8× 59 2.0k
Toshiyuki Inagaki Japan 22 1.2k 1.2× 241 0.6× 287 1.3× 473 2.3× 203 1.1× 110 1.8k
Amy R. Pritchett United States 22 821 0.8× 182 0.4× 94 0.4× 141 0.7× 145 0.8× 147 1.4k
Frédéric Vanderhaegen France 22 561 0.6× 441 1.1× 64 0.3× 152 0.7× 409 2.3× 94 1.2k
Jean‐Michel Hoc France 21 793 0.8× 176 0.4× 85 0.4× 264 1.3× 84 0.5× 53 1.3k
Victor Riley United States 8 2.1k 2.1× 508 1.2× 479 2.1× 480 2.3× 208 1.2× 23 2.8k
Linda Onnasch Germany 16 1.0k 1.0× 219 0.5× 162 0.7× 83 0.4× 63 0.4× 58 1.3k
Karen M. Feigh United States 16 654 0.6× 168 0.4× 133 0.6× 87 0.4× 75 0.4× 128 1.1k

Countries citing papers authored by Greg A. Jamieson

Since Specialization
Citations

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

Fields of papers citing papers by Greg A. Jamieson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg A. Jamieson. 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 Greg A. Jamieson. The network helps show where Greg A. Jamieson may publish in the future.

Co-authorship network of co-authors of Greg A. Jamieson

This figure shows the co-authorship network connecting the top 25 collaborators of Greg A. Jamieson. A scholar is included among the top collaborators of Greg A. Jamieson 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 Greg A. Jamieson. Greg A. Jamieson 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.
Jamieson, Greg A. & Gyrd Skraaning. (2024). Stumbling Towards a Shared Apprehension of Automation Failure. Journal of Cognitive Engineering and Decision Making. 18(4). 402–423.
3.
Donmez, Birsen, et al.. (2023). Human performance consequences of normative and contrastive explanations: An experiment in machine learning for reliability maintenance. Artificial Intelligence. 321. 103945–103945. 7 indexed citations
4.
Hollands, Justin G., et al.. (2021). A mirror in the sky: the effects of map format and user expertise on navigation performance and mental workload. Ergonomics. 65(4). 604–617. 3 indexed citations
5.
Donmez, Birsen, et al.. (2019). Eye glances towards conflict-relevant cues: the roles of anticipatory competence and driver experience. Accident Analysis & Prevention. 132. 105255–105255. 21 indexed citations
6.
Jamieson, Greg A. & Gyrd Skraaning. (2017). Levels of Automation in Human Factors Models for Automation Design: Why We Might Consider Throwing the Baby Out With the Bathwater. Journal of Cognitive Engineering and Decision Making. 12(1). 42–49. 30 indexed citations
7.
Donmez, Birsen, et al.. (2016). Supporting anticipation in driving through attentional and interpretational in-vehicle displays. Accident Analysis & Prevention. 91. 103–113. 27 indexed citations
8.
Lau, Nathan, Greg A. Jamieson, & Gyrd Skraaning. (2015). Situation awareness acquired from monitoring process plants – the Process Overview concept and measure. Ergonomics. 59(7). 1–13. 10 indexed citations
9.
Jamieson, Greg A., et al.. (2014). Communicating a Model-Based Energy Performance Indicator. Ergonomics in Design The Quarterly of Human Factors Applications. 22(4). 21–29. 4 indexed citations
10.
Jamieson, Greg A., et al.. (2013). Recursive Estimates as an Extension to CUSUM-based Energy Monitoring & Targeting. 7 indexed citations
11.
Donmez, Birsen, et al.. (2011). A Field Study of Haul Truck Operations in Open Pit Mines. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 55(1). 1845–1849. 7 indexed citations
12.
Wang, Lili, Greg A. Jamieson, & Justin G. Hollands. (2011). The Effects of Design Features on Users’ Trust in and Reliance on a Combat Identification System. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 55(1). 375–379. 13 indexed citations
13.
Neyedli, Heather F., Justin G. Hollands, & Greg A. Jamieson. (2009). Human Reliance on an Automated Combat ID System: Effects of Display Format. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 53(4). 212–216. 1 indexed citations
14.
Jamieson, Greg A., et al.. (2007). Developing Human-Machine Interfaces to Support Appropriate Trust and Reliance on Automated Combat Identification Systems. Defense Technical Information Center (DTIC). 6 indexed citations
15.
Jamieson, Greg A., et al.. (2007). Ecological interface design for solar car strategy: From state equations to visual relations.. 12. 139–144. 7 indexed citations
16.
Guerlain, Stephanie, et al.. (2002). The MPC elucidator: a case study in the design for human-automation interaction. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 32(1). 25–40. 31 indexed citations
17.
Jamieson, Greg A. & Kim J. Vicente. (2002). Implications of a control-theoretic approach to human-automation-plant interface design. 26. 90–98. 1 indexed citations
18.
Jamieson, Greg A., et al.. (2000). Making the most of ecological interface design: the role of individual differences. Applied Ergonomics. 31(4). 395–408. 29 indexed citations
19.
Grant, Sue, et al.. (1995). Short-Term Training, Muscle Glycogen, and Cycle Endurance. Canadian Journal of Applied Physiology. 20(3). 315–324. 17 indexed citations
20.
Green, H. J., et al.. (1995). Metabolic adaptations to short-term training are expressed early in submaximal exercise. Canadian Journal of Physiology and Pharmacology. 73(4). 474–482. 35 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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