Sherrie-Anne Kaye

2.7k citations
76 papers · 1.8k indexed · 1 hit paper · h-index 21

Sherrie-Anne Kaye

67 papers receiving 1.7k citations

Hit Papers

What factors contribute to the acceptance of artificial i...4402022202620232024100200300400

Peers

Sherrie-Anne Kaye
Comparison fields: 5 of 128
  • Health Informatics 87
  • Safety, Risk, Reliability and Quality 509
  • Information Systems and Management 309
  • Automotive Engineering 471
  • Applied Psychology 180
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Stephen Rice United States
Scott R. Winter United States
Kevin A. Hoff United States
Yong Gu Ji South Korea
Mahtab Ghazizadeh United States
Sankaran N. Nair United States
Ronggang Zhou China
Duncan P. Brumby United Kingdom
Jaap Ham Netherlands
Mark R. Lehto United States
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Citations per year

Countries citing papers authored by Sherrie-Anne Kaye

Since Specialization
Citations

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

Fields of papers citing papers by Sherrie-Anne Kaye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sherrie-Anne Kaye. 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 Sherrie-Anne Kaye. The network helps show where Sherrie-Anne Kaye may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sherrie-Anne Kaye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sherrie-Anne Kaye Line = papers co-authored together Sherrie-Anne Kaye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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12 202145
13 20209
14 201910
15 201936
16 201844
17 201828
18 20177
19 201737
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Young drivers' perceptions of road safety messages and a high performance vehicle advertisement: a qualitative exploration
20154

About Sherrie-Anne Kaye

Sherrie-Anne Kaye is a scholar working on Safety, Risk, Reliability and Quality, Applied Psychology and Social Psychology, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Traffic and Road Safety (41 papers), Human-Automation Interaction and Safety (34 papers), Behavioral Health and Interventions (13 papers), Transportation and Mobility Innovations (11 papers), Safety Warnings and Signage (10 papers), Urban Transport and Accessibility (9 papers), Technology Adoption and User Behaviour (9 papers) and Injury Epidemiology and Prevention (8 papers). The work is most often cited by research in Health Informatics (87 citations), Safety, Risk, Reliability and Quality (509 citations) and Information Systems and Management (309 citations). Sherrie-Anne Kaye has collaborated with scholars based in Australia, Netherlands and United States. Frequent co-authors include Óscar Oviedo-Trespalacios, Sage Kelly, Lisa Buckley, Ioni Lewis, Anuj K. Pradhan, James Freeman, Verity Truelove, Jeremy D. Davey, Patricia Delhomme and Sonja Forward. Their work appears in journals such as SHILAP Revista de lepidopterología, Personality and Individual Differences and Accident Analysis & Prevention.

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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