Ann Williamson

7.6k total citations · 1 hit paper
192 papers, 5.6k citations indexed

About

Ann Williamson is a scholar working on Safety, Risk, Reliability and Quality, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Ann Williamson has authored 192 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Safety, Risk, Reliability and Quality, 67 papers in Social Psychology and 40 papers in Experimental and Cognitive Psychology. Recurrent topics in Ann Williamson's work include Traffic and Road Safety (81 papers), Sleep and Work-Related Fatigue (40 papers) and Human-Automation Interaction and Safety (38 papers). Ann Williamson is often cited by papers focused on Traffic and Road Safety (81 papers), Sleep and Work-Related Fatigue (40 papers) and Human-Automation Interaction and Safety (38 papers). Ann Williamson collaborates with scholars based in Australia, United States and New Zealand. Ann Williamson's co-authors include Anne-Marie Feyer, Rena Friswell, Soufiane Boufous, Alan Hobbs, Rebecca Mitchell, David A. Lombardi, Jennie Connor, Theodore K. Courtney, J C Stutts and Simon Folkard and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Epidemiology and International Journal of Environmental Research and Public Health.

In The Last Decade

Ann Williamson

181 papers receiving 5.2k citations

Hit Papers

The link between fatigue ... 2010 2026 2015 2020 2010 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ann Williamson 1.7k 1.6k 1.5k 1.2k 765 192 5.6k
David A. Lombardi 1.5k 0.9× 871 0.6× 628 0.4× 1.0k 0.8× 910 1.2× 82 4.5k
Theodore K. Courtney 628 0.4× 805 0.5× 777 0.5× 1.2k 0.9× 816 1.1× 100 4.4k
Michael G. Lenné 840 0.5× 2.9k 1.8× 2.4k 1.6× 1.2k 0.9× 435 0.6× 244 5.3k
Drew Dawson∥ 6.2k 3.6× 2.2k 1.4× 333 0.2× 453 0.4× 395 0.5× 228 10.3k
Simon Folkard 7.0k 4.0× 2.7k 1.7× 526 0.3× 698 0.6× 288 0.4× 171 10.2k
Ted R. Miller 174 0.1× 674 0.4× 2.5k 1.7× 1.1k 0.9× 3.0k 3.9× 341 12.5k
David Shinar 589 0.3× 3.1k 1.9× 3.5k 2.3× 326 0.3× 474 0.6× 151 6.7k
Barry C. Watson 377 0.2× 1.9k 1.2× 3.9k 2.6× 740 0.6× 1.0k 1.4× 274 6.1k
Jack T. Dennerlein 260 0.1× 2.6k 1.6× 285 0.2× 1.2k 1.0× 327 0.4× 238 7.3k
Göran Kecklund 7.3k 4.2× 2.9k 1.8× 642 0.4× 361 0.3× 292 0.4× 209 10.2k

Countries citing papers authored by Ann Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Ann Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Williamson. A scholar is included among the top collaborators of Ann Williamson 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 Ann Williamson. Ann Williamson 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.
Koppel, Sjaan, Kristie L. Young, Brett R. C. Molesworth, et al.. (2025). Using Australian Naturalistic Driving Study data to explore non-driving task engagement across young novice and experienced drivers. Transportation Research Part F Traffic Psychology and Behaviour. 113. 374–385.
2.
Garvey, Gail, Kirsten Howard, Darren Garvey, et al.. (2024). What Matters to Aboriginal and Torres Strait Islander Youth (WM2Y): a study protocol to develop a national youth well-being measure. BMJ Open. 14(3). e076119–e076119. 2 indexed citations
3.
Elhenawy, Mohammed, Mahmoud Masoud, Narelle Haworth, et al.. (2023). Detection of driver distraction in the Australian naturalistic driving study videos using pre-trained models and transfer learning. Transportation Research Part F Traffic Psychology and Behaviour. 97. 31–43. 6 indexed citations
4.
Young, Kristie L., Sjaan Koppel, Judith Charlton, et al.. (2019). What contextual and demographic factors predict drivers’ decision to engage in secondary tasks?. IET Intelligent Transport Systems. 13(8). 1218–1223. 19 indexed citations
5.
Friswell, Rena & Ann Williamson. (2019). Management of heavy truck driver queuing and waiting for loading and unloading at road transport customers’ depots. Safety Science. 120. 194–205. 19 indexed citations
6.
Young, Kristie L., Sjaan Koppel, Judith Charlton, et al.. (2019). What are Australian drivers doing behind the wheel? An overview of secondary task data from the Australian Naturalistic Driving Study. SHILAP Revista de lepidopterología. 30(1). 27–33. 17 indexed citations
7.
Young, Kristie L., Judith Charlton, Sjaan Koppel, et al.. (2018). Distraction and older drivers: an emerging problem?. SHILAP Revista de lepidopterología. 29(4). 18–29. 6 indexed citations
8.
Molesworth, Brett R. C., et al.. (2018). Improving young drivers’ speed management behaviour through feedback: A cognitive training intervention. Transportation Research Part F Traffic Psychology and Behaviour. 54. 324–337. 13 indexed citations
9.
Williamson, Ann, et al.. (2015). Evidence that truck driver remuneration is linked to safety outcomes: a review of the literature. 3 indexed citations
10.
Kalganova, Tatiana, et al.. (2014). Transportation Network Optimization. Brunel University Research Archive (BURA) (Brunel University London). 2 indexed citations
11.
Martiniuk, Alexandra, Teresa Senserrick, Serigne Lo, et al.. (2013). Sleep-Deprived Young Drivers and the Risk for Crash. JAMA Pediatrics. 3 indexed citations
12.
Williamson, Ann, et al.. (2013). What makes scientific journal articles appeal to Human Factors and Ergonomics professionals?. 1 indexed citations
13.
Molesworth, Brett R. C., et al.. (2011). Why Air Traffic Controllers Accept or Refuse Automated Technology. Journal of Bioresource Management. 615. 2 indexed citations
14.
Williamson, Ann, et al.. (2010). The Heavy Vehicle Study: a case-control study investigating risk factors for crash in long distance heavy vehicle drivers in Australia. SHILAP Revista de lepidopterología. 22 indexed citations
15.
Young, Andrew N., et al.. (2006). APPEA Conference 2006: Abstracts of Technical, Commercial and Environmental Papers and Posters. The APPEA Journal. 46(1). 1–43. 1 indexed citations
16.
Friswell, Rena, Paul J. Irvine, & Ann Williamson. (2003). HEAVY VEHICLES AND SPEEDING: EVIDENCE FROM TRAFFIC SURVEY DATA. 7(1). 94–101. 1 indexed citations
17.
Williamson, Ann, Paul J. Irvine, & Rena Friswell. (2003). What is the involvement of heavy trucks in crashes in NSW. 7(1). 288–294. 1 indexed citations
18.
Boufous, Soufiane & Ann Williamson. (2003). Work‐related injury in NSW hospitalisation and workers' compensation datasets: a comparative analysis. Australian and New Zealand Journal of Public Health. 27(3). 352–357. 19 indexed citations
19.
Feyer, Anne-Marie, Ann Williamson, & Rena Friswell. (1997). Balancing work and rest to combat driver fatigue: An investigation of two-up driving in Australia. Accident Analysis & Prevention. 29(4). 541–553. 33 indexed citations
20.
Harrington, David, et al.. (1996). Putting People Values to Work. The McKinsey Quarterly. 163. 3 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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