Gillian R. Hayes

9.8k total citations
202 papers, 6.6k citations indexed

About

Gillian R. Hayes is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Sociology and Political Science. According to data from OpenAlex, Gillian R. Hayes has authored 202 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Human-Computer Interaction, 61 papers in Cognitive Neuroscience and 30 papers in Sociology and Political Science. Recurrent topics in Gillian R. Hayes's work include Innovative Human-Technology Interaction (55 papers), Autism Spectrum Disorder Research (46 papers) and Child Development and Digital Technology (25 papers). Gillian R. Hayes is often cited by papers focused on Innovative Human-Technology Interaction (55 papers), Autism Spectrum Disorder Research (46 papers) and Child Development and Digital Technology (25 papers). Gillian R. Hayes collaborates with scholars based in United States, United Kingdom and Canada. Gillian R. Hayes's co-authors include Jed R. Brubaker, Gregory D. Abowd, Khai N. Truong, Lynn Dombrowski, Oliver L. Haimson, Sen H. Hirano, John Shine, Lisa Selbie, Paul Dourish and David H. Nguyen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Gillian R. Hayes

196 papers receiving 6.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gillian R. Hayes United States 46 1.8k 1.6k 1.2k 990 707 202 6.6k
Krzysztof Z. Gajos United States 40 1.6k 0.9× 925 0.6× 614 0.5× 285 0.3× 246 0.3× 134 5.5k
Rafael A. Calvo Australia 45 905 0.5× 1.4k 0.9× 964 0.8× 848 0.9× 79 0.1× 252 8.7k
Athanasios Drigas Greece 71 258 0.1× 2.0k 1.3× 477 0.4× 3.0k 3.0× 256 0.4× 362 11.3k
Meredith Ringel Morris United States 60 4.6k 2.6× 3.2k 2.0× 1.7k 1.4× 450 0.5× 406 0.6× 202 10.8k
Mark Brosnan United Kingdom 36 171 0.1× 1.7k 1.1× 751 0.6× 993 1.0× 139 0.2× 157 4.0k
James G. Phillips Australia 45 268 0.2× 2.3k 1.5× 2.1k 1.7× 1.1k 1.1× 46 0.1× 244 8.1k
Paul Cairns United Kingdom 45 2.0k 1.1× 772 0.5× 2.0k 1.6× 299 0.3× 21 0.0× 194 8.0k
Klaus Opwis Switzerland 37 904 0.5× 1.1k 0.7× 1.3k 1.1× 286 0.3× 58 0.1× 137 5.6k
Edward Cutrell United States 44 2.2k 1.2× 1.4k 0.9× 517 0.4× 402 0.4× 142 0.2× 133 5.9k
Herbert H. Clark United States 56 1.7k 0.9× 5.1k 3.3× 1.6k 1.3× 872 0.9× 143 0.2× 100 24.5k

Countries citing papers authored by Gillian R. Hayes

Since Specialization
Citations

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

Fields of papers citing papers by Gillian R. Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gillian R. Hayes. 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 Gillian R. Hayes. The network helps show where Gillian R. Hayes may publish in the future.

Co-authorship network of co-authors of Gillian R. Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of Gillian R. Hayes. A scholar is included among the top collaborators of Gillian R. Hayes 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 Gillian R. Hayes. Gillian R. Hayes 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.
Na, Kwangsam, et al.. (2025). Informing the Design of Mobile and Wearable Technology for Noise Sensitivity MHCI017. Proceedings of the ACM on Human-Computer Interaction. 9(5). 1–26.
3.
Draper, Catherine E., et al.. (2024). Young Children’s Mental Well-Being in Low-Income South African Settings: A Qualitative Study. Journal of Child and Family Studies. 33(11). 3455–3471. 1 indexed citations
4.
Hayes, Gillian R., et al.. (2024). Accessibility through Awareness of Noise Sensitivity Management and Regulation Practices. 1–12. 2 indexed citations
5.
Silva, Lucas M., Franceli L. Cibrian, Arpita Bhattacharya, et al.. (2024). Co-Designing Situated Displays for Family Co-Regulation with ADHD Children. Chapman University Digital Commons (Chapman University). 1–19. 11 indexed citations
6.
Silva, Lucas M., Franceli L. Cibrian, Arpita Bhattacharya, et al.. (2023). Unpacking the Lived Experiences of Smartwatch Mediated Self and Co-Regulation with ADHD Children. 1–19. 29 indexed citations
7.
Hayes, Gillian R., et al.. (2023). Supporting Noise Sensitivity and Emotion Regulation with Children. 522–526. 4 indexed citations
8.
Bhattacharya, Arpita, et al.. (2023). Plan For Tomorrow: The Experience of Adolescent and Young Adult Childhood Cancer Survivors as they Transition to Adult Care. Proceedings of the ACM on Human-Computer Interaction. 7(CSCW2). 1–27. 2 indexed citations
9.
Lakes, Kimberley D., et al.. (2022). Digital health interventions for youth with ADHD: A mapping review. Computers in Human Behavior Reports. 6. 100174–100174. 28 indexed citations
10.
Cibrian, Franceli L., et al.. (2022). Me, My Health, and My Watch: How Children with ADHD Understand Smartwatch Health Data. ACM Transactions on Computer-Human Interaction. 30(4). 1–25. 23 indexed citations
11.
Cibrian, Franceli L., Kimberley D. Lakes, Sabrina Schuck, & Gillian R. Hayes. (2021). The potential for emerging technologies to support self-regulation in children with ADHD: A literature review. International Journal of Child-Computer Interaction. 31. 100421–100421. 51 indexed citations
12.
Haimson, Oliver L., Jed R. Brubaker, & Gillian R. Hayes. (2014). DDFSeeks same. 1615–1624. 19 indexed citations
13.
Dey, Anind K., Hao-Hua Chu, & Gillian R. Hayes. (2012). Proceedings of the 2012 ACM Conference on Ubiquitous Computing. 35 indexed citations
14.
Hayes, Gillian R., Charlotte P. Lee, & Paul Dourish. (2011). Organizational routines, innovation, and flexibility: The application of narrative networks to dynamic workflow. International Journal of Medical Informatics. 80(8). e161–e177. 28 indexed citations
15.
Wyche, Susan, et al.. (2006). Technology in spiritual formation. 199–208. 63 indexed citations
16.
Hayes, Gillian R., et al.. (2004). Audience in computer learning: a constructionist interpretation. SMARTech Repository (Georgia Institute of Technology). 605–605. 2 indexed citations
17.
Spratling, Michael & Gillian R. Hayes. (1998). Learning sensory-motor cortical mappings without training.. CogPrints (University of Southampton). 339–344. 1 indexed citations
18.
Spratling, Michael & Gillian R. Hayes. (1998). A self-organising neural network for modelling cortical development.. CogPrints (University of Southampton). 333–338. 1 indexed citations
19.
Demiris, Yiannis & Gillian R. Hayes. (1997). Do Robots Ape. 15 indexed citations
20.
Selbie, Lisa, Gillian R. Hayes, & John Shine. (1989). The Major Dopamine D2 Receptor: Molecular Analysis of the Human D2 A Subtype. DNA. 8(9). 683–689. 79 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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