Gary McKeown

3.3k total citations
55 papers, 1.9k citations indexed

About

Gary McKeown is a scholar working on Social Psychology, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Gary McKeown has authored 55 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Social Psychology, 29 papers in Experimental and Cognitive Psychology and 10 papers in Artificial Intelligence. Recurrent topics in Gary McKeown's work include Emotion and Mood Recognition (19 papers), Humor Studies and Applications (12 papers) and Emotions and Moral Behavior (6 papers). Gary McKeown is often cited by papers focused on Emotion and Mood Recognition (19 papers), Humor Studies and Applications (12 papers) and Emotions and Moral Behavior (6 papers). Gary McKeown collaborates with scholars based in United Kingdom, Germany and Netherlands. Gary McKeown's co-authors include Roddy Cowie, Maja Pantić, Michel Valstar, Markus Schröder, Ian Sneddon, William J. Curran, Margaret McRorie, Ruth F. Hunter, Frank Kee and Aisling Gough and has published in prestigious journals such as PLoS ONE, American Journal of Public Health and Frontiers in Psychology.

In The Last Decade

Gary McKeown

53 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gary McKeown United Kingdom 20 1.1k 573 505 497 298 55 1.9k
Gabriella M. Harari United States 21 882 0.8× 365 0.6× 211 0.4× 204 0.4× 171 0.6× 53 2.4k
Maria Wolters United Kingdom 22 474 0.4× 168 0.3× 681 1.3× 96 0.2× 262 0.9× 130 1.8k
Isabella Poggi Italy 21 644 0.6× 720 1.3× 479 0.9× 197 0.4× 230 0.8× 93 1.6k
Marianne Schmid Mast Switzerland 19 557 0.5× 557 1.0× 218 0.4× 171 0.3× 365 1.2× 28 1.6k
Asta Roseway United States 19 277 0.3× 225 0.4× 169 0.3× 333 0.7× 352 1.2× 47 1.8k
Afsaneh Doryab United States 19 498 0.5× 151 0.3× 113 0.2× 270 0.5× 132 0.4× 50 1.4k
Joyce H. D. M. Westerink Netherlands 23 539 0.5× 478 0.8× 84 0.2× 182 0.4× 470 1.6× 80 1.7k
Mashfiqui Rabbi United States 17 429 0.4× 134 0.2× 108 0.2× 218 0.4× 226 0.8× 31 1.7k
Saeed Abdullah United States 19 587 0.5× 260 0.5× 185 0.4× 110 0.2× 205 0.7× 72 1.6k
Koen Lamberts United Kingdom 23 325 0.3× 348 0.6× 243 0.5× 90 0.2× 917 3.1× 65 2.0k

Countries citing papers authored by Gary McKeown

Since Specialization
Citations

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

Fields of papers citing papers by Gary McKeown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary McKeown

This figure shows the co-authorship network connecting the top 25 collaborators of Gary McKeown. A scholar is included among the top collaborators of Gary McKeown 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 Gary McKeown. Gary McKeown 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.
Cleland, Claire, Mehdi Moeinaddini, Frank Kee, et al.. (2023). Complex interventions to reduce car use and change travel behaviour: An umbrella review.. Journal of Transport & Health. 31. 101652–101652. 8 indexed citations
2.
Hunter, Ruth F., Claire Cleland, Frank Kee, et al.. (2021). Developing System-Oriented Interventions and Policies to Reduce Car Dependency for Improved Population Health in Belfast: Study Protocol. Systems. 9(3). 62–62. 7 indexed citations
3.
McKeown, Gary, et al.. (2020). Analysis of physiological changes related to emotions during a zipline activity. Sports Engineering. 23(1). 4 indexed citations
4.
Krumhuber, Eva G., et al.. (2020). A performance comparison of eight commercially available automatic classifiers for facial affect recognition. PLoS ONE. 15(4). e0231968–e0231968. 104 indexed citations
5.
McKeown, Gary, et al.. (2019). Context matters: protocol ordering effects on physiological arousal and experienced stress during a simulated driving task. Research Portal (Queen's University Belfast). 19. 1–7. 2 indexed citations
6.
McKeown, Gary, et al.. (2018). Accuracy of three commercial automatic emotion recognition systems across different individuals and their facial expressions. Research Portal (Queen's University Belfast). 627–632. 19 indexed citations
7.
Curran, William J., Gary McKeown, Magdalena Rychlowska, et al.. (2018). Social Context Disambiguates the Interpretation of Laughter. Frontiers in Psychology. 8. 2342–2342. 29 indexed citations
8.
Main, Alexandra, et al.. (2018). Towards the development of a coding scheme for empathic effort and dyadic empathic alignment. Research Portal (Queen's University Belfast).
9.
Gough, Aisling, Ruth F. Hunter, Oluwaseun Ajao, et al.. (2017). Tweet for Behavior Change: Using Social Media for the Dissemination of Public Health Messages. JMIR Public Health and Surveillance. 3(1). e14–e14. 181 indexed citations
10.
Ochs, Magalie, Catherine Pélachaud, & Gary McKeown. (2017). A User Perception--Based Approach to Create Smiling Embodied Conversational Agents. ACM Transactions on Interactive Intelligent Systems. 7(1). 1–33. 30 indexed citations
11.
Dupont, Stéphane, Hüseyin Çakmak, Thierry Dutoit, et al.. (2016). Laughter Research: A Review of the ILHAIRE Project. Intelligent systems reference library. 147–181. 11 indexed citations
12.
Valstar, Michel, Gary McKeown, Marc Méhu, et al.. (2015). FERA 2014 chairs' welcome. Research Portal (Queen's University Belfast). iii–iii. 1 indexed citations
13.
McKeown, Gary, Ian Sneddon, & William J. Curran. (2014). Gender Differences in the Perceptions of Genuine and Simulated Laughter and Amused Facial Expressions. Emotion Review. 7(1). 30–38. 37 indexed citations
14.
McKeown, Gary & Ian Sneddon. (2013). Modeling continuous self-report measures of perceived emotion using generalized additive mixed models.. Psychological Methods. 19(1). 155–174. 40 indexed citations
15.
Griffin, Harry J., Min Hane Aung, Bernardino Romera‐Paredes, et al.. (2013). Laughter Type Recognition from Whole Body Motion. Research Portal (Queen's University Belfast). 349–355. 29 indexed citations
16.
Gormley, Gerry, et al.. (2012). Keeping it real! Enhancing realism in standardised patient OSCE stations. The Clinical Teacher. 9(6). 382–386. 22 indexed citations
17.
Sneddon, Ian, et al.. (2011). Cross-Cultural Patterns in Dynamic Ratings of Positive and Negative Natural Emotional Behaviour. PLoS ONE. 6(2). e14679–e14679. 23 indexed citations
18.
McRorie, Margaret, Ian Sneddon, Gary McKeown, et al.. (2011). Evaluation of Four Designed Virtual Agent Personalities. IEEE Transactions on Affective Computing. 3(3). 311–322. 40 indexed citations
19.
McKeown, Gary. (2010). Considering Social and Emotional Artificial Intelligence. 20–23. 8 indexed citations
20.
McKeown, Gary & Noel Sheehy. (2005). Visualising Textual Knowledge about Risks to Aid Risk Communication. Research Portal (Queen's University Belfast). 1 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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