Caroline Jay

2.3k citations
154 papers · 1.5k · h-index 20

Impact in

Papers in

Caroline Jay

142 papers receiving 1.4k citations

Peers

Caroline Jay
Comparison fields: 5 of 136
  • Human-Computer Interaction 407
  • Human Factors and Ergonomics 110
  • Computer Science Applications 99
  • Cognitive Neuroscience 244
  • Health Informatics 17
Replace Hugo Paredes with:
Hugo Paredes Portugal
Marco Roccetti Italy
Mohit Jain India
Hend S. Al‐Khalifa Saudi Arabia
Luis A. Guerrero Costa Rica
Ehud Reiter United Kingdom
Alberto Raposo Brazil
Mark Dunlop United Kingdom
Adam Fourney United States
Muhammad Nazrul Islam Bangladesh
Caroline Jay relative to Hugo Paredes Portugal Hugo Paredes's profile →
Citations per field
00.5×2.8×
Hugo Paredes · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Caroline Jay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caroline Jay Line = papers co-authored together Caroline Jay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007113
2 201476
3 201565
4 201750
5 202149
6 201446
7 200844
8 201444
9 200338
10 201836
11 201435
12 200534
13 201227
14 201726
15 200825
16 201324
17 201121
18 201419
19 201719
20 201019

About Caroline Jay

Caroline Jay is a scholar working on Human-Computer Interaction, Information Systems, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 154 papers that have together received 1.5k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (19 papers), Data Visualization and Analytics (16 papers), Digital Accessibility for Disabilities (15 papers), Biomedical Text Mining and Ontologies (14 papers), Semantic Web and Ontologies (13 papers), Scientific Computing and Data Management (12 papers), Gaze Tracking and Assistive Technology (11 papers) and Virtual Reality Applications and Impacts (10 papers). The work is most often cited by research in Human-Computer Interaction (407 citations), Human Factors and Ergonomics (110 citations), Computer Science Applications (99 citations), Cognitive Neuroscience (244 citations) and Health Informatics (17 citations). Caroline Jay has collaborated with scholars based in United Kingdom, United States and Saudi Arabia. Frequent co-authors include Simon Harper, Roger Hubbold, Markel Vigo, Mashhuda Glencross, Robert Stevens, Andy Brown, Alan Davies, Julia Mueller, Chris Todd and Niels Peek. Their work appears in journals such as International Journal of Human-Computer Studies, Scientific Reports, Journal of Medical Internet Research, Journal of Systems and Software and Drug Discovery Today.

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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