Greg Wadley

3.8k total citations
91 papers, 2.3k citations indexed

About

Greg Wadley is a scholar working on Sociology and Political Science, Human-Computer Interaction and Applied Psychology. According to data from OpenAlex, Greg Wadley has authored 91 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Sociology and Political Science, 29 papers in Human-Computer Interaction and 28 papers in Applied Psychology. Recurrent topics in Greg Wadley's work include Impact of Technology on Adolescents (30 papers), Digital Mental Health Interventions (28 papers) and Innovative Human-Technology Interaction (20 papers). Greg Wadley is often cited by papers focused on Impact of Technology on Adolescents (30 papers), Digital Mental Health Interventions (28 papers) and Innovative Human-Technology Interaction (20 papers). Greg Wadley collaborates with scholars based in Australia, United Kingdom and United States. Greg Wadley's co-authors include Reeva Lederman, John Gleeson, Nicolas Ducheneaut, Nicholas Yee, Ming-Hui Wen, Mario Álvarez‐Jiménez, Sarah Bendall, Wally Smith, Martin Gibbs and Peter Koval and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Current Directions in Psychological Science.

In The Last Decade

Greg Wadley

89 papers receiving 2.2k citations

Peers

Greg Wadley
Comparison fields: 5 of 139
  • Applied Psychology 723
  • Sociology and Political Science 718
  • Human-Computer Interaction 544
  • Experimental and Cognitive Psychology 458
  • Clinical Psychology 424
Replace Margaret E. Morris with:
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Xuejun Bai China
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Citations per field, relative to Greg Wadley
Greg Wadley · 1×
Citations per year, relative to Greg Wadley
Greg Wadley · 1×

Countries citing papers authored by Greg Wadley

Since Specialization
Citations

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

Fields of papers citing papers by Greg Wadley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Wadley

This figure shows the co-authorship network connecting the top 25 collaborators of Greg Wadley. A scholar is included among the top collaborators of Greg Wadley 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 Greg Wadley. Greg Wadley 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
# Work Indexed citations
1 1
2 2
3 8
4 1
5 6
6 1
7 27
8
ETHICAL ISSUES IN ONLINE MENTAL HEALTH INTERVENTIONS
1
9 14
10 142
11 13
12 119
13
Unbounding the interaction design problem: The contribution of HCI in three interventions for well-being
1
14
Quitty: Using technology to persuade smokers to quit
2
15 166
16 15
17 12
18 11
19
Websphere application server enterprise v5 and programming model extensions websphere handbook series
2
20
The origins of agriculture - a biological perspective and a new hypothesis
15

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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