Gavin Doherty

122 papers receiving 4.0k citations

Gavin Doherty's Hit Papers

Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults 2024 · 34 citations
340+1+3Years since publication100200300

Peers

Gavin Doherty
Comparison fields: 5 of 150
  • Applied Psychology 1.7k
  • Human-Computer Interaction 704
  • Health Informatics 115
  • Experimental and Cognitive Psychology 767
  • Social Psychology 586
Replace Jakob E. Bardram with:
Jakob E. Bardram Denmark
Timothy Bickmore United States
David Coyle Ireland
Gale Lucas United States
Tobias Kowatsch Switzerland
Eric B. Hekler United States
Wei Peng United States
Rita Orji Canada
Predrag Klasnja United States
Stephen M. Schueller United States
Gavin Doherty relative to Jakob E. Bardram Denmark Jakob E. Bardram's profile →
Citations per field
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Jakob E. Bardram · 1×
Citations per year

Countries citing papers authored by Gavin Doherty

Since Specialization
Citations

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

Fields of papers citing papers by Gavin Doherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The promise of machine learning in predicting treatment outcomes in psychiatry
Hit paper breakdown →
2021310
2 2020227
3 2020202
4 2016163
5 2018163
6 2019159
7 2012153
8 2010141
9 2007118
10 2021116
11 2011105
12 202289
13 201587
14 202084
15 201183
16 202081
17
Using Thematic Analysis in Healthcare HCI at CHI: A Scoping Review
Hit paper breakdown →
202373
18 200572
19 200871
20 202070

About Gavin Doherty

Gavin Doherty is a scholar working on Applied Psychology, Human-Computer Interaction, Sociology and Political Science, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 131 papers that have together received 4.1k indexed citations. Recurring topics across this work include Digital Mental Health Interventions (58 papers), Innovative Human-Technology Interaction (22 papers), Mental Health Research Topics (15 papers), Impact of Technology on Adolescents (10 papers), Technology Use by Older Adults (10 papers), Usability and User Interface Design (7 papers), Mobile Health and mHealth Applications (6 papers) and Mental Health via Writing (6 papers). The work is most often cited by research in Applied Psychology (1.7k citations), Human-Computer Interaction (704 citations), Health Informatics (115 citations), Experimental and Cognitive Psychology (767 citations) and Social Psychology (586 citations). Gavin Doherty has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include David Coyle, Mark Matthews, John Sharry, Kevin Doherty, Anja Thieme, Danielle Belgrave, Corina Sas, Camille Nadal, Andreas Balaskas and Cecily Morrison. Their work appears in journals such as International Journal of Human-Computer Studies, Interacting with Computers, ACM Transactions on Computer-Human Interaction, Journal of Medical Internet Research and IEEE Access.

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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