Jaime C. Auton

582 total citations
29 papers, 389 citations indexed

About

Jaime C. Auton is a scholar working on Social Psychology, Cognitive Neuroscience and Sociology and Political Science. According to data from OpenAlex, Jaime C. Auton has authored 29 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Social Psychology, 8 papers in Cognitive Neuroscience and 4 papers in Sociology and Political Science. Recurrent topics in Jaime C. Auton's work include Human-Automation Interaction and Safety (9 papers), Neural and Behavioral Psychology Studies (5 papers) and Spam and Phishing Detection (4 papers). Jaime C. Auton is often cited by papers focused on Human-Automation Interaction and Safety (9 papers), Neural and Behavioral Psychology Studies (5 papers) and Spam and Phishing Detection (4 papers). Jaime C. Auton collaborates with scholars based in Australia and United States. Jaime C. Auton's co-authors include Ben J. Searle, Daniel Sturman, Mark W. Wiggins, Shayne Loft, Catherine McMahon, Piers Bayl‐Smith, William S. Helton, Wendy Hu, Robbert Duvivier and Johanna Westbrook and has published in prestigious journals such as Frontiers in Psychology, Journal of Communication and Human Factors The Journal of the Human Factors and Ergonomics Society.

In The Last Decade

Jaime C. Auton

27 papers receiving 376 citations

Peers

Jaime C. Auton

OBHRM

GHP

SPS

Zhun Gong China

Mike Greyling South Africa

Nicole Gravina United States

Alicia M. Alvero United States

Chiara Panari Italy

Andreas Seifert Germany

Daiana Colledani Italy

Jeffrey Olenick United States

Cato Alexander Bjørkli Norway

Christian Seubert Austria

Zhun Gong China

Jaime C. Auton

167 ×1.1

64 ×0.4

OBHRM

43 ×0.6

GHP

112 ×1.6

99 ×1.5

SPS

Citations per year, relative to Jaime C. Auton Jaime C. Auton (= 1×) peers Zhun Gong

Countries citing papers authored by Jaime C. Auton

Since Specialization

Citations

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

Fields of papers citing papers by Jaime C. Auton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaime C. Auton. 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 Jaime C. Auton. The network helps show where Jaime C. Auton may publish in the future.

Co-authorship network of co-authors of Jaime C. Auton

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Auton, Jaime C. & Daniel Sturman. (2024). Teleworking during the COVID-19 pandemic: the job demands and job resources associated with telework outcomes. Australian Psychologist. 59(4). 341–353. 2 indexed citations

Sturman, Daniel, Jaime C. Auton, & Ben W. Morrison. (2024). Security awareness, decision style, knowledge, and phishing email detection: Moderated mediation analyses. Computers & Security. 148. 104129–104129. 3 indexed citations

Sturman, Daniel, et al.. (2024). The roles of phishing knowledge, cue utilization, and decision styles in phishing email detection. Applied Ergonomics. 119. 104309–104309. 4 indexed citations

Auton, Jaime C., Daniel Sturman, Dimitra Lekkas, et al.. (2024). Virtual Multiple Mini Interviews: Implementation and evaluation for undergraduate medical, dental, and oral health degrees. Medical Teacher. 47(7). 1144–1151. 1 indexed citations

Sturman, Daniel, et al.. (2023). Exploring the evidence for email phishing training: A scoping review. Computers & Security. 139. 103695–103695. 5 indexed citations

Sturman, Daniel, et al.. (2022). The role of cue utilization in the detection of phishing emails. Applied Ergonomics. 106. 103887–103887. 12 indexed citations

Wiggins, Mark W., Heather Douglas, Daniel Sturman, et al.. (2022). Explaining emergency physicians’ capacity to recover from interruptions. Applied Ergonomics. 105. 103857–103857. 4 indexed citations

Auton, Jaime C. & Daniel Sturman. (2022). Individual differences and compliance intentions with COVID-19 restrictions: insights from a lockdown in Melbourne (Australia). Health Promotion International. 37(3). 12 indexed citations

Sturman, Daniel, et al.. (2020). Knowledge of social distancing measures and adherence to restrictions during the COVID‐19 pandemic. Health Promotion Journal of Australia. 32(2). 344–351. 21 indexed citations

10.

Oxlad, Melissa, et al.. (2020). Employing Multiple Mini Interviews in Selection Processes for Psychology Professional Training Programs: Ten Tips for Effective Implementation. MedEdPublish. 9. 192–192. 1 indexed citations

11.

Sturman, Daniel, Mark W. Wiggins, Jaime C. Auton, & Shayne Loft. (2019). Cue utilization differentiates resource allocation during sustained attention simulated rail control tasks.. Journal of Experimental Psychology Applied. 25(3). 317–332. 16 indexed citations

12.

Sturman, Daniel, Mark W. Wiggins, Jaime C. Auton, & William S. Helton. (2019). Cue utilisation predicts control room operators’ performance in a sustained visual search task. Ergonomics. 63(1). 48–60. 5 indexed citations

13.

Wiggins, Mark W., et al.. (2019). Higher cue utilization in driving supports improved driving performance and more effective visual search behaviors. Journal of Safety Research. 71. 59–66. 9 indexed citations

14.

Sturman, Daniel, Mark W. Wiggins, Jaime C. Auton, et al.. (2019). Control Room Operators’ Cue Utilization Predicts Cognitive Resource Consumption During Regular Operational Tasks. Frontiers in Psychology. 10. 1967–1967. 16 indexed citations

15.

Griffin, Barbara, Jaime C. Auton, Robbert Duvivier, Boaz Shulruf, & Wendy Hu. (2018). Multiple mini interviews: revealing similarities across institutions. BMC Medical Education. 18(1). 190–190. 10 indexed citations

16.

Wiggins, Mark W., et al.. (2018). Cue utilisation reduces effort but increases arousal during a process control task. Applied Ergonomics. 69. 120–127. 5 indexed citations

17.

Griffin, Barbara, Jaime C. Auton, Robbert Duvivier, Boaz Shulruf, & Wendy Hu. (2018). Applicants to medical school: if at first they don’t succeed, who tries again and are they successful?. Advances in Health Sciences Education. 24(1). 33–43. 7 indexed citations

18.

Auton, Jaime C., et al.. (2018). The Effects of Cue Utilization and Target-Related Information on Target Detection during a Simulated Drone Search and Rescue Task. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 62(1). 227–231. 5 indexed citations

19.

Searle, Ben J. & Jaime C. Auton. (2014). The merits of measuring challenge and hindrance appraisals. Anxiety Stress & Coping. 28(2). 121–143. 201 indexed citations

20.

Auton, Jaime C., Mark W. Wiggins, Ben J. Searle, Thomas Loveday, & Nan Xu Rattanasone. (2013). Prosodic Cues Used During Perceptions of Nonunderstandings in Radio Communication. Journal of Communication. 63(3). 600–616. 7 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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