Caroline Jay

2.3k total citations
142 papers, 1.3k citations indexed

About

Caroline Jay is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Information Systems. According to data from OpenAlex, Caroline Jay has authored 142 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Human-Computer Interaction, 29 papers in Cognitive Neuroscience and 24 papers in Information Systems. Recurrent topics in Caroline Jay's work include Tactile and Sensory Interactions (18 papers), Digital Accessibility for Disabilities (15 papers) and Data Visualization and Analytics (14 papers). Caroline Jay is often cited by papers focused on Tactile and Sensory Interactions (18 papers), Digital Accessibility for Disabilities (15 papers) and Data Visualization and Analytics (14 papers). Caroline Jay collaborates with scholars based in United Kingdom, United States and Saudi Arabia. Caroline Jay's co-authors include Simon Harper, Roger Hubbold, Mashhuda Glencross, Markel Vigo, Andy Brown, Robert Stevens, Alan Davies, Niels Peek, Julia Mueller and Chris Todd and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Caroline Jay

126 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Jay United Kingdom 18 352 226 220 194 162 142 1.3k
Frode Eika Sandnes Norway 19 340 1.0× 313 1.4× 363 1.6× 248 1.3× 200 1.2× 190 1.6k
Jeff Sauro United States 14 795 2.3× 313 1.4× 172 0.8× 398 2.1× 226 1.4× 31 2.2k
Marco Winckler France 14 306 0.9× 132 0.6× 115 0.5× 183 0.9× 105 0.6× 96 849
William Albert United States 10 433 1.2× 164 0.7× 95 0.4× 234 1.2× 85 0.5× 21 1.3k
Carmelo Ardito Italy 19 652 1.9× 357 1.6× 131 0.6× 412 2.1× 163 1.0× 96 1.6k
Adam Fourney United States 18 281 0.8× 231 1.0× 128 0.6× 264 1.4× 636 3.9× 54 1.5k
Nikola Banović United States 17 306 0.9× 139 0.6× 217 1.0× 63 0.3× 154 1.0× 43 797
Thomas S. Tullis United States 15 764 2.2× 286 1.3× 176 0.8× 435 2.2× 172 1.1× 36 2.1k
Simone Diniz Junqueira Barbosa Brazil 20 546 1.6× 191 0.8× 76 0.3× 537 2.8× 305 1.9× 181 1.5k
Shah Khusro Pakistan 17 150 0.4× 191 0.8× 197 0.9× 303 1.6× 221 1.4× 97 939

Countries citing papers authored by Caroline Jay

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Jay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Jay

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Jay. A scholar is included among the top collaborators of Caroline Jay 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 Caroline Jay. Caroline Jay 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.
Sun, Yuan, Sarah Lindley, Caroline Jay, et al.. (2025). Integration and execution of Community Land Model Urban (CLMU) in a containerized environment. Environmental Modelling & Software. 188. 106391–106391. 1 indexed citations
3.
Body, Richard, et al.. (2024). Attitudes of clinicians to a ‘human-like’ explainable AI based on pseudo-colouring of ECGs that exposes life-threatening anomalies. Journal of Electrocardiology. 85. 4–4. 1 indexed citations
4.
Jay, Caroline, Ian Crawford, Scott Archer‐Nicholls, et al.. (2024). Prioritize environmental sustainability in use of AI and data science methods. Nature Geoscience. 17(2). 106–108. 8 indexed citations
5.
Davies, Alan, et al.. (2023). Novel methods for enhancing ECG visualization research. Journal of Electrocardiology. 78. 15–16.
6.
Jay, Caroline, et al.. (2023). Choropleth maps can convey absolute magnitude through the range of the accompanying colour legend. Behaviour and Information Technology. 43(12). 2821–2837. 1 indexed citations
7.
Smith, Nathan, Dorian Peters, Caroline Jay, et al.. (2023). Off-World Mental Health: Considerations for the Design of Well-being–Supportive Technologies for Deep Space Exploration. JMIR Formative Research. 7. e37784–e37784. 4 indexed citations
8.
Lowe, Douglas, David Topping, Ian Hall, et al.. (2023). A comparison of experience sampled hay fever symptom severity across rural and urban areas of the UK. Scientific Reports. 13(1). 3060–3060. 5 indexed citations
10.
Gilmore, Abigail, et al.. (2021). The impact of COVID-19 on digital data practices in museums and art galleries in the UK and the US. Humanities and Social Sciences Communications. 8(1). 41 indexed citations
11.
Clinch, Sarah, et al.. (2021). Device uses and device stereotypes. Computers in Human Behavior Reports. 4. 100100–100100. 2 indexed citations
12.
Jay, Caroline, et al.. (2021). How has the COVID-19 pandemic affected working conditions for research software engineers?. Figshare. 1 indexed citations
13.
Davies, Alan, et al.. (2020). Pseudo-colouring an ECG enables lay people to detect QT-interval prolongation regardless of heart rate. PLoS ONE. 15(8). e0237854–e0237854. 4 indexed citations
15.
Mueller, Julia, Caroline Jay, Simon Harper, & Chris Todd. (2017). The Role of Web-Based Health Information in Help-Seeking Behavior Prior to a Diagnosis of Lung Cancer: A Mixed-Methods Study. Journal of Medical Internet Research. 19(6). e189–e189. 17 indexed citations
16.
Davies, Alan, Gavin Brown, Markel Vigo, et al.. (2016). Exploring the Relationship Between Eye Movements and Electrocardiogram Interpretation Accuracy. Scientific Reports. 6(1). 38227–38227. 11 indexed citations
17.
Jay, Caroline, et al.. (2014). Understanding the division of attention between TV and companion content: experiment 2, without eye-tracking. Research Explorer (The University of Manchester). 3 indexed citations
18.
Vigo, Markel, et al.. (2014). Overcoming the pitfalls of ontology authoring: Strategies and implications for tool design. International Journal of Human-Computer Studies. 72(12). 835–845. 35 indexed citations
19.
Sherstyuk, A., Dale S. Vincent, & Caroline Jay. (2008). Sliding Viewport for Interactive Virtual Environments. Research Explorer (The University of Manchester). 3 indexed citations
20.
Jay, Caroline & Roger Hubbold. (2005). Delayed Visual and Haptic Feedback in a Reciprocal Tapping Task. 655–656. 32 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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