Callum Mole

509 total citations
24 papers, 311 citations indexed

About

Callum Mole is a scholar working on Cognitive Neuroscience, Social Psychology and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Callum Mole has authored 24 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 12 papers in Social Psychology and 8 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Callum Mole's work include Human-Automation Interaction and Safety (11 papers), Visual perception and processing mechanisms (10 papers) and Traffic and Road Safety (8 papers). Callum Mole is often cited by papers focused on Human-Automation Interaction and Safety (11 papers), Visual perception and processing mechanisms (10 papers) and Traffic and Road Safety (8 papers). Callum Mole collaborates with scholars based in United Kingdom, Finland and France. Callum Mole's co-authors include Richard M. Wilkie, Otto Lappi, Georgios K. Kountouriotis, Gustav Markkula, Jami Pekkanen, Natasha Merat, Franck Mars, Oscar Giles, Jac Billington and Katy Shire and has published in prestigious journals such as Psychological Bulletin, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Callum Mole

23 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Callum Mole United Kingdom	11	189	128	117	72	55	24	311
Thomas M. Gable United States	12	276 1.5×	108 0.8×	107 0.9×	52 0.7×	128 2.3×	35	402
Elizabeth Crundall United Kingdom	12	265 1.4×	49 0.4×	190 1.6×	62 0.9×	60 1.1×	21	376
Radhakrishnan Swaminathan United States	8	224 1.2×	35 0.3×	127 1.1×	81 1.1×	28 0.5×	14	314
Francesco Walker Netherlands	8	213 1.1×	55 0.4×	107 0.9×	67 0.9×	39 0.7×	15	300
Frederik Diederichs Germany	7	210 1.1×	29 0.2×	135 1.2×	91 1.3×	22 0.4×	31	293
Nade Liang United States	5	224 1.2×	34 0.3×	80 0.7×	31 0.4×	27 0.5×	13	272
Joseph T. Coyne United States	11	180 1.0×	95 0.7×	30 0.3×	29 0.4×	61 1.1×	56	328
Lisbeth Harms Denmark	10	240 1.3×	143 1.1×	210 1.8×	65 0.9×	20 0.4×	22	446
Rebecca Currano United States	8	270 1.4×	25 0.2×	116 1.0×	98 1.4×	72 1.3×	25	334
Josef Schumann Germany	9	217 1.1×	21 0.2×	160 1.4×	81 1.1×	60 1.1×	15	330

Countries citing papers authored by Callum Mole

Since Specialization

Citations

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

Fields of papers citing papers by Callum Mole

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Callum Mole

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

All Works

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20 of 20 papers shown

Scott, James G., David Llewellyn‐Jones, Callum Mole, et al.. (2024). How to co-create content moderation policies: the case of the AutSPACEs project. SHILAP Revista de lepidopterología. 6.

Li, Guangquan, Hubert Denise, Peter J. Diggle, et al.. (2023). A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic. Environment International. 172. 107765–107765. 13 indexed citations

Torabi, Fatemeh, Guangquan Li, Callum Mole, et al.. (2023). Wastewater-Based Surveillance Models for Covid-19: A Focused Review on Spatio-Temporal Models. SSRN Electronic Journal. 1 indexed citations

Torabi, Fatemeh, Callum Mole, George Nicholson, et al.. (2023). Wastewater-based surveillance models for COVID-19: A focused review on spatio-temporal models. Heliyon. 9(11). e21734–e21734. 10 indexed citations

Mole, Callum, et al.. (2022). Steering is initiated based on error accumulation.. Journal of Experimental Psychology Human Perception & Performance. 48(1). 64–76. 2 indexed citations

Mole, Callum, et al.. (2021). Drivers use active gaze to monitor waypoints during automated driving. Scientific Reports. 11(1). 263–263. 13 indexed citations

Mole, Callum, Jami Pekkanen, Tyron Louw, et al.. (2020). Predicting takeover response to silent automated vehicle failures. PLoS ONE. 15(11). e0242825–e0242825. 14 indexed citations

Lappi, Otto, et al.. (2019). Looking at the Road When Driving Around Bends: Influence of Vehicle Automation and Speed. Frontiers in Psychology. 10. 1699–1699. 15 indexed citations

Pekkanen, Jami, et al.. (2019). Humans Use Predictive Gaze Strategies to Target Waypoints for Steering. Scientific Reports. 9(1). 8344–8344. 26 indexed citations

10.

Mole, Callum, Otto Lappi, Oscar Giles, et al.. (2019). Getting Back Into the Loop: The Perceptual-Motor Determinants of Successful Transitions out of Automated Driving. Human Factors The Journal of the Human Factors and Ergonomics Society. 61(7). 1037–1065. 49 indexed citations

11.

Wilkie, Richard M., et al.. (2019). Cognitive Load During Automation Affects Gaze Behaviours and Transitions to Manual Steering Control. 6 indexed citations

12.

Mole, Callum, Gustav Markkula, Oscar Giles, et al.. (2019). Drivers Fail to Calibrate to Optic Flow Speed Changes During Automated Driving. 1 indexed citations

13.

Lappi, Otto & Callum Mole. (2018). Visuomotor control, eye movements, and steering: A unified approach for incorporating feedback, feedforward, and internal models.. Psychological Bulletin. 144(10). 981–1001. 52 indexed citations

14.

Mole, Callum, et al.. (2018). Metacognitive judgements of perceptual-motor steering performance. Quarterly Journal of Experimental Psychology. 71(10). 2223–2234. 9 indexed citations

15.

Mole, Callum, et al.. (2018). Steering bends and changing lanes: The impact of optic flow and road edges on two point steering control. Journal of Vision. 18(9). 14–14. 8 indexed citations

16.

Mole, Callum & Richard M. Wilkie. (2017). Looking forward to safer HGVs: The impact of mirrors on driver reaction times. Accident Analysis & Prevention. 107. 173–185. 10 indexed citations

17.

Mole, Callum, Georgios K. Kountouriotis, Jac Billington, & Richard M. Wilkie. (2016). Optic flow speed modulates guidance level control: New insights into two-level steering.. Journal of Experimental Psychology Human Perception & Performance. 42(11). 1818–1838. 25 indexed citations

18.

Kountouriotis, Georgios K., Callum Mole, Natasha Merat, & Richard M. Wilkie. (2016). The need for speed: global optic flow speed influences steering. Royal Society Open Science. 3(5). 160096–160096. 16 indexed citations

19.

Smith, Matthew E., et al.. (2015). Driving with homonymous visual field loss: Does visual search performance predict hazard detection?. British Journal of Occupational Therapy. 78(2). 85–95. 9 indexed citations

20.

Kountouriotis, Georgios K., Katy Shire, Callum Mole, et al.. (2013). Optic flow asymmetries bias high-speed steering along roads. Journal of Vision. 13(10). 23–23. 23 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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