Alan Chamberlain

2.4k total citations
122 papers, 1.5k citations indexed

About

Alan Chamberlain is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Alan Chamberlain has authored 122 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Human-Computer Interaction, 52 papers in Computer Vision and Pattern Recognition and 15 papers in Sociology and Political Science. Recurrent topics in Alan Chamberlain's work include Innovative Human-Technology Interaction (53 papers), Music Technology and Sound Studies (31 papers) and Interactive and Immersive Displays (21 papers). Alan Chamberlain is often cited by papers focused on Innovative Human-Technology Interaction (53 papers), Music Technology and Sound Studies (31 papers) and Interactive and Immersive Displays (21 papers). Alan Chamberlain collaborates with scholars based in United Kingdom, China and United States. Alan Chamberlain's co-authors include Andy Crabtree, Steve Benford, Eiman Kanjo, Tom Rodden, Matt Jones, Konstantinos Papangelis, Yvonne Rogers, Alessio Malizia, Adrian Hazzard and Chris Greenhalgh and has published in prestigious journals such as Modern Language Journal, ACM Transactions on Computer-Human Interaction and Human-Computer Interaction.

In The Last Decade

Alan Chamberlain

110 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Alan Chamberlain 679 354 229 186 154 122 1.5k
Jason Wiese 421 0.6× 207 0.6× 458 2.0× 141 0.8× 210 1.4× 55 1.4k
Panagiotis Petridis 528 0.8× 557 1.6× 376 1.6× 168 0.9× 89 0.6× 70 1.8k
Sonja Pedell 977 1.4× 167 0.5× 318 1.4× 173 0.9× 187 1.2× 87 1.9k
Andruid Kerne 467 0.7× 322 0.9× 668 2.9× 170 0.9× 102 0.7× 89 1.5k
Paul Coulton 1.3k 1.8× 495 1.4× 540 2.4× 133 0.7× 173 1.1× 243 2.4k
M. Cecí­lia C. Baranauskas 598 0.9× 167 0.5× 422 1.8× 120 0.6× 155 1.0× 257 1.4k
Martin Tomitsch 984 1.4× 392 1.1× 179 0.8× 71 0.4× 242 1.6× 127 1.8k
Josep Blat 295 0.4× 310 0.9× 287 1.3× 98 0.5× 87 0.6× 139 2.0k
Simo Hosio 835 1.2× 378 1.1× 466 2.0× 252 1.4× 230 1.5× 137 2.5k
Daniel Buschek 674 1.0× 257 0.7× 231 1.0× 245 1.3× 244 1.6× 85 1.5k

Countries citing papers authored by Alan Chamberlain

Since Specialization
Citations

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

Fields of papers citing papers by Alan Chamberlain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Chamberlain

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Chamberlain. A scholar is included among the top collaborators of Alan Chamberlain 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 Alan Chamberlain. Alan Chamberlain 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.
Malizia, Alessio, et al.. (2025). Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition). University of Twente Research Information. 172–174. 1 indexed citations
2.
Crabtree, Andy, et al.. (2025). Experiencing the future mundane: configuring design fiction as breaching experiment. Human-Computer Interaction. 1–30. 1 indexed citations
3.
Bryan–Kinns, Nick, Helen Kennedy, Alan Chamberlain, et al.. (2024). Explainable AI for the Arts 2 (XAIxArts2). Creativity and Cognition. 86–92. 3 indexed citations
4.
Crabtree, Andy, et al.. (2024). Making of an Adaptive Podcast that Engenders Trust through Data Negotiability. Repository@Nottingham (University of Nottingham). 334–341. 1 indexed citations
5.
Coulton, Paul, et al.. (2024). Designing Prosocial More-Than-Human Rhetoric within Experiential Futures. Repository@Nottingham (University of Nottingham). 36–45.
6.
Benford, Steve, Adrian Hazzard, Helena Webb, et al.. (2023). Five Provocations for a More Creative TAS. Repository@Nottingham (University of Nottingham). 1–10. 5 indexed citations
7.
Bryan–Kinns, Nick, Alan Chamberlain, Steve Benford, et al.. (2023). Explainable AI for the Arts: XAIxArts. Creativity and Cognition. 1–7. 14 indexed citations
8.
Chamberlain, Alan, Joel E. Fischer, Steve Benford, et al.. (2023). TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals. ePrints Soton (University of Southampton). 1–5. 4 indexed citations
9.
Turchet, Luca, et al.. (2023). Personal and ubiquitous computing, special issue: “Sonic experiences: interaction, connectivity, and multi-sensory technologies”. Personal and Ubiquitous Computing. 27(5). 1779–1781.
10.
Borsci, Simone, et al.. (2023). Ciao AI: the Italian adaptation and validation of the Chatbot Usability Scale. Personal and Ubiquitous Computing. 27(6). 2161–2170. 4 indexed citations
11.
Papangelis, Konstantinos, et al.. (2020). Crowdsourcing in China: Exploring the Work Experiences of Solo Crowdworkers and Crowdfarm Workers. City Research Online (City University London). 1–13. 12 indexed citations
12.
Greenhalgh, Chris, et al.. (2019). Encumbered Interaction. Repository@Nottingham (University of Nottingham). 1–13. 13 indexed citations
13.
Chamberlain, Alan, Steve Benford, & Alan Dix. (2018). Re-Thinking Immersive Technologies for Audiences of the Future. 1–3. 1 indexed citations
14.
Bødker, Mads & Alan Chamberlain. (2016). AFFECT THEORY AND AUTOETHNOGRAPHY IN ORDINARY INFORMATION SYSTEMS. CBS Research Portal (Copenhagen Business School). 178. 11 indexed citations
15.
Papangelis, Konstantinos, Alan Chamberlain, & Hai‐Ning Liang. (2016). Co-Design for Harm Reduction Systems with Online Communities of Bodybuilding Steroid Users. Repository@Nottingham (University of Nottingham). 35–42.
16.
Haniff, David J., Alan Chamberlain, Louise Moody, & Sara de Freitas. (2014). Virtual environments for mental health issues: A review. 3(1). 1–10. 7 indexed citations
17.
Greenhalgh, Chris, et al.. (2014). Displaying Locality. Repository@Nottingham (University of Nottingham). 62–67. 5 indexed citations
18.
Kanjo, Eiman, et al.. (2013). Shopmobia: An Emotion-Based Shop Rating System. 11. 745–750. 20 indexed citations
19.
Foster, Jonathan, Steve Benford, Alan Chamberlain, Duncan Rowland, & Gabriella Giannachi. (2010). Riders Have Spoken: A practice-based approach to developing an information architecture for the archiving and replay of a mixed reality performance. International Journal of Performance Arts and Digital Media. 6(2). 209–223. 1 indexed citations
20.
Connolly, John, Alan Chamberlain, & Iain Phillips. (2008). An approach to context in human-computer communication. Semiotica. 169. 45–70. 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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