Gavin Doherty

6.3k total citations · 1 hit paper
127 papers, 3.9k citations indexed

About

Gavin Doherty is a scholar working on Applied Psychology, Human-Computer Interaction and Sociology and Political Science. According to data from OpenAlex, Gavin Doherty has authored 127 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Applied Psychology, 31 papers in Human-Computer Interaction and 29 papers in Sociology and Political Science. Recurrent topics in Gavin Doherty's work include Digital Mental Health Interventions (60 papers), Mental Health Research Topics (25 papers) and Innovative Human-Technology Interaction (21 papers). Gavin Doherty is often cited by papers focused on Digital Mental Health Interventions (60 papers), Mental Health Research Topics (25 papers) and Innovative Human-Technology Interaction (21 papers). Gavin Doherty collaborates with scholars based in Ireland, United Kingdom and United States. Gavin Doherty's co-authors include David Coyle, Mark Matthews, John Sharry, Kevin Doherty, Danielle Belgrave, Anja Thieme, Corina Sas, Camille Nadal, Andreas Balaskas and Cecily Morrison and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computers in Human Behavior.

In The Last Decade

Gavin Doherty

121 papers receiving 3.7k citations

Hit Papers

The promise of machine le... 2021 2026 2022 2024 2021 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The promise of machine learning in predicting treatment outcomes in psychiatry
    2021 288 citations Gavin Doherty et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gavin Doherty 1.9k 1.1k 768 703 680 127 3.9k
Jakob E. Bardram 1.7k 0.9× 1.3k 1.3× 838 1.1× 462 0.7× 1.1k 1.6× 205 5.6k
David Coyle 1.2k 0.6× 527 0.5× 810 1.1× 732 1.0× 674 1.0× 105 3.9k
Tobias Kowatsch 1.7k 0.9× 675 0.6× 1.3k 1.7× 465 0.7× 185 0.3× 212 4.6k
Mark Larsen 1.9k 1.0× 749 0.7× 670 0.9× 714 1.0× 140 0.2× 88 3.5k
Eric B. Hekler 2.2k 1.2× 1.1k 1.1× 518 0.7× 392 0.6× 593 0.9× 164 6.5k
Julie A. Kientz 1.3k 0.7× 643 0.6× 1.5k 1.9× 530 0.8× 2.9k 4.3× 149 7.2k
Gale Lucas 795 0.4× 746 0.7× 816 1.1× 1.8k 2.6× 305 0.4× 122 4.0k
Greg Wadley 723 0.4× 458 0.4× 718 0.9× 382 0.5× 544 0.8× 91 2.3k
Dror Ben‐Zeev 3.1k 1.7× 2.3k 2.2× 784 1.0× 1.0k 1.4× 181 0.3× 118 5.7k
Wei Peng 944 0.5× 331 0.3× 2.4k 3.1× 1.1k 1.5× 766 1.1× 115 6.0k

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-authorship network of co-authors of Gavin Doherty

This figure shows the co-authorship network connecting the top 25 collaborators of Gavin Doherty. A scholar is included among the top collaborators of Gavin Doherty 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 Gavin Doherty. Gavin Doherty 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
1.
Pasquale, Liliana, et al.. (2025). Human-centric security for smart homes: A scoping review. Computers & Security. 162. 104762–104762.
2.
Doherty, Gavin, et al.. (2025). Designing, Implementing, and Evaluating AI Explanations: A Scoping Review of Explainable AI Frameworks. ACM Transactions on Computer-Human Interaction. 32(6). 1–79.
3.
Jin, Yucheng, et al.. (2024). Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults. Lirias (KU Leuven). 1–17. 15 indexed citations
4.
Cooney, Orla, et al.. (2023). Exploring how politeness impacts the user experience of chatbots for mental health support. International Journal of Human-Computer Studies. 184. 103181–103181. 15 indexed citations
5.
Nadal, Camille, et al.. (2023). Integrating Fairness in the Software Design Process: An Interview Study With HCI and ML Experts. IEEE Access. 11. 29296–29313. 2 indexed citations
6.
Bhattacharjee, Ananya, Rachel Kornfield, Alex Mariakakis, et al.. (2023). Integrating Individual and Social Contexts into Self-Reflection Technologies. 1–6. 6 indexed citations
7.
Nadal, Camille, Caroline Earley, Ángel Enrique, et al.. (2023). Patient Acceptance of Self-Monitoring on a Smartwatch in a Routine Digital Therapy: A Mixed-Methods Study. ACM Transactions on Computer-Human Interaction. 31(1). 1–50. 5 indexed citations
8.
Nadal, Camille, et al.. (2023). Between Rhetoric and Reality: Real-world Barriers to Uptake and Early Engagement in Digital Mental Health Interventions. ACM Transactions on Computer-Human Interaction. 31(2). 1–59. 16 indexed citations
9.
Lyon, Aaron R., Sean A. Munson, Madhu Reddy, et al.. (2023). Bridging HCI and Implementation Science for Innovation Adoption and Public Health Impact. PubMed. 2023. 1–7. 15 indexed citations
10.
Nadal, Camille, et al.. (2023). Using Thematic Analysis in Healthcare HCI at CHI: A Scoping Review. Figshare. 1–18. 41 indexed citations
11.
Nadal, Camille, Corina Sas, & Gavin Doherty. (2020). Technology Acceptance in Mobile Health: Scoping Review of Definitions, Models, and Measurement. Journal of Medical Internet Research. 22(7). e17256–e17256. 182 indexed citations
12.
Doherty, Kevin, Marguerite Barry, José S Marcano Belisario, et al.. (2018). A Mobile App for the Self-Report of Psychological Well-Being During Pregnancy (BrightSelf): Qualitative Design Study. JMIR Mental Health. 5(4). e10007–e10007. 35 indexed citations
13.
Matthews, Mark, Elizabeth L. Murnane, Jaime Snyder, et al.. (2017). The double-edged sword: A mixed methods study of the interplay between bipolar disorder and technology use. Computers in Human Behavior. 75. 288–300. 32 indexed citations
14.
Richards, Derek, Thomas Richardson, Ladislav Timulák, et al.. (2016). Predictors of depression severity in a treatment-seeking sample. International Journal of Clinical and Health Psychology. 16(3). 221–229. 15 indexed citations
15.
16.
17.
Coyle, David & Gavin Doherty. (2010). Stepped care and mental health technologies. Bristol Research (University of Bristol). 99–102. 1 indexed citations
18.
Schlögl, Stephan, et al.. (2010). Observing the wizard: in search of a generic interface for Wizard of Oz studies. 3 indexed citations
19.
Doherty, Gavin, et al.. (2009). Including User Behavior as Model Checking Analysis. CTIT technical reports series. 2 indexed citations
20.
Coyle, David & Gavin Doherty. (2008). Designing adaptable technologies for talk-based mental health interventions.. Bristol Research (University of Bristol). 3 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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