Rachel Eardley

815 citations
21 papers · 474 · h-index 12

Impact in

Papers in

Rachel Eardley

21 papers receiving 459 citations

Peers

Rachel Eardley
Comparison fields: 5 of 91
  • Human-Computer Interaction 216
  • Neuropsychology and Physiological Psychology 11
  • Demography 67
  • Applied Psychology 17
  • Cognitive Neuroscience 63
Replace Iohanna Nicenboim with:
Iohanna Nicenboim Netherlands
Natalie Freed United States
Joseph P. Salisbury United States
Outi Tuisku Finland
Stephen Forshaw United Kingdom
Daniel Ullrich Germany
Lara S. G. Piccolo United Kingdom
Elina Koivisto Finland
Cayla Key United Kingdom
Bei Yuan China
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Citations per field
00.5×10×12.7×
Iohanna Nicenboim · 1×
Citations per year

Countries citing papers authored by Rachel Eardley

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Eardley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rachel Eardley, 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 Rachel Eardley Line = papers co-authored together Rachel Eardley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009108
2 200681
3 200643
4 201742
5 200425
6 201822
7 202017
8 202216
9 202314
10 201814
11
The Everyday Problems of Working Parents: Implications for New Technologies
200414
12 202012
13 202211
14 201611
15 20239
16 20219
17 20228
18 20067
19 20236
20 20043

About Rachel Eardley

Rachel Eardley is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Sociology and Political Science, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 21 papers that have together received 474 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (8 papers), Interactive and Immersive Displays (6 papers), Tactile and Sensory Interactions (5 papers), Context-Aware Activity Recognition Systems (3 papers), Digital Mental Health Interventions (3 papers), Technology Use by Older Adults (3 papers), Usability and User Interface Design (3 papers) and Ethics and Social Impacts of AI (2 papers). The work is most often cited by research in Human-Computer Interaction (216 citations), Neuropsychology and Physiological Psychology (11 citations), Demography (67 citations), Applied Psychology (17 citations) and Cognitive Neuroscience (63 citations). Rachel Eardley has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Abigail Sellen, Richard Harper, Shahram Izadi, Steve Gill, Stephen Thompson, Alex Taylor, Ken Wood, Anne Roudaut, Aisling Ann O’Kane and Tim Regan. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, BMJ Open, PLoS Genetics and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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