Jan Noyes

139 papers receiving 3.3k citations

Jan Noyes's Hit Papers

An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach 2011 · 412 citations
4120+5+10Years since publication100200300400

Peers

Jan Noyes
Comparison fields: 5 of 163
  • Information Systems and Management 710
  • Human-Computer Interaction 459
  • Gender Studies 379
  • Medical Laboratory Technology 49
  • Social Psychology 683
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Jan Noyes relative to Joseph Sharit United States Joseph Sharit's profile →
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Citations per year

Countries citing papers authored by Jan Noyes

Since Specialization
Citations

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

Fields of papers citing papers by Jan Noyes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jan Noyes, 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 Jan Noyes Line = papers co-authored together Jan Noyes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach
Hit paper breakdown →
2011412
2 2008220
3 2012176
4
Alarm systems: a guide to design, management and procurement
1999162
5 2007141
6 2006126
7 2000111
8
Pleasure with products: Beyond usability
2002109
9 1999109
10 2016104
11 200292
12 201691
13 200383
14 198380
15 200376
16 200774
17
Binding in human memory: A neurocognitive approach
200265
18 200462
19 199255
20 199954

About Jan Noyes

Jan Noyes is a scholar working on Social Psychology, Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering and Sociology and Political Science, having authored 147 papers that have together received 3.7k indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (22 papers), Gender and Technology in Education (16 papers), Impact of Technology on Adolescents (12 papers), Speech and dialogue systems (11 papers), Technology Adoption and User Behaviour (11 papers), Child Development and Digital Technology (10 papers), Safety Warnings and Signage (8 papers) and Advanced Image Fusion Techniques (8 papers). The work is most often cited by research in Information Systems and Management (710 citations), Human-Computer Interaction (459 citations), Gender Studies (379 citations), Medical Laboratory Technology (49 citations) and Social Psychology (683 citations). Jan Noyes has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include Timothy Teo, Kate Garland, Clive Frankish, Damien Williams, Salvador Bueno, M. Dolores Gallego, H. Rees, Mingming Zhou, Chris Baber and Martin Conway. Their work appears in journals such as Computers in Human Behavior, Ergonomics, International Journal of Aviation Psychology, Applied Ergonomics and British Journal of Educational Technology.

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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