David Flower

494 total citations
11 papers, 351 citations indexed

About

David Flower is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Occupational Therapy. According to data from OpenAlex, David Flower has authored 11 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Experimental and Cognitive Psychology, 4 papers in Social Psychology and 3 papers in Occupational Therapy. Recurrent topics in David Flower's work include Sleep and Work-Related Fatigue (6 papers), Ergonomics and Musculoskeletal Disorders (3 papers) and Occupational Health and Performance (3 papers). David Flower is often cited by papers focused on Sleep and Work-Related Fatigue (6 papers), Ergonomics and Musculoskeletal Disorders (3 papers) and Occupational Health and Performance (3 papers). David Flower collaborates with scholars based in United Kingdom, United States and Netherlands. David Flower's co-authors include Steven E. Lerman, Martin C. Moore‐Ede, Natalie P. Hartenbaum, Steven R. Hursh, Benjamin Gerson, Mike Tipton, Gemma Milligan, Simon Folkard, David Richardson and Barry Drust and has published in prestigious journals such as Journal of Occupational and Environmental Medicine, Transportation Research Part F Traffic Psychology and Behaviour and American Journal of Industrial Medicine.

In The Last Decade

David Flower

11 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Flower United Kingdom 7 194 111 87 74 59 11 351
Philippe Cabon France 8 211 1.1× 148 1.3× 86 1.0× 36 0.5× 82 1.4× 24 351
K. Brasher United States 11 83 0.4× 94 0.8× 38 0.4× 123 1.7× 75 1.3× 14 424
Anneke Heitmann United States 5 181 0.9× 117 1.1× 44 0.5× 109 1.5× 40 0.7× 11 332
Toshimasa Takanishi Japan 9 77 0.4× 103 0.9× 66 0.8× 50 0.7× 31 0.5× 13 300
Nina Bock Germany 4 298 1.5× 85 0.8× 30 0.3× 138 1.9× 34 0.6× 5 465
Miyoung Lee South Korea 12 78 0.4× 77 0.7× 88 1.0× 93 1.3× 37 0.6× 34 442
Suzanne L. Merkus Norway 10 201 1.0× 78 0.7× 31 0.4× 220 3.0× 36 0.6× 23 395
Riikka Ranta Finland 8 283 1.5× 228 2.1× 101 1.2× 205 2.8× 69 1.2× 8 615
J. Stephen Higgins United States 12 293 1.5× 99 0.9× 180 2.1× 88 1.2× 18 0.3× 14 390
Lars-Kristian Lunde Norway 13 87 0.4× 149 1.3× 89 1.0× 166 2.2× 71 1.2× 32 575

Countries citing papers authored by David Flower

Since Specialization
Citations

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

Fields of papers citing papers by David Flower

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Flower

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

All Works

11 of 11 papers shown
1.
Pratt, Stephanie, et al.. (2021). US research needs related to fatigue, sleep, and working hours among oil and gas extraction workers. American Journal of Industrial Medicine. 65(11). 840–856. 8 indexed citations
2.
Flower, David, Mike Tipton, & Gemma Milligan. (2019). Considerations for physical employment standards in the aging workforce. Work. 63(4). 509–519. 21 indexed citations
4.
Robinson, Scott, James P. Morton, Graeme L. Close, David Flower, & Laurent Bannock. (2014). Nutrition Intervention for an International-Standard Female Football Player. 1(1). 1 indexed citations
5.
Morrison, Ian, et al.. (2013). Working the night shift: a necessary time for training or a risk to health and safety?. The Journal of the Royal College of Physicians of Edinburgh. 43(3). 230–235. 7 indexed citations
6.
Lerman, Steven E., David Flower, Benjamin Gerson, et al.. (2012). Fatigue Risk Management in the Workplace. Journal of Occupational and Environmental Medicine. 54(2). 231–258. 275 indexed citations
7.
Lerman, Steven E., David Flower, Benjamin Gerson, et al.. (2012). Fatigue Risk Management in the Workplace ACOEM Presidential Task Force on Fatigue Risk Management. 1 indexed citations
8.
Dunn, Kevin, Barry Drust, David Flower, & David Richardson. (2011). Kicking the habit; a biopsychosocial account of engaging men recovering from drug misuse in regular recreational football. Journal of Men s Health. 8(3). 233–233. 7 indexed citations
9.
Flower, David, et al.. (2003). Perception and predictability of travel fatigue after long-haul flights: a retrospective study.. PubMed. 74(2). 173–9. 19 indexed citations
10.
Flower, David. (2002). Managing jet lag. The Journal of the Royal Society for the Promotion of Health. 122(1). 8–9. 1 indexed citations
11.
Flower, David. (2001). Alertness management in long-haul flying. Transportation Research Part F Traffic Psychology and Behaviour. 4(1). 39–48. 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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