Daniel J. Rea

546 citations
29 papers · 310 · h-index 12

Impact in

Papers in

Daniel J. Rea

27 papers receiving 300 citations

Peers

Daniel J. Rea
Comparison fields: 5 of 56
  • Human-Computer Interaction 80
  • Social Psychology 155
  • Cognitive Neuroscience 68
  • Safety Research 23
  • Computer Vision and Pattern Recognition 52
Replace Michiel Joosse with:
Michiel Joosse Netherlands
Stela H. Seo Canada
Martim Brandão United Kingdom
AJung Moon Canada
Andrea Bönsch Germany
Hannah Pelikan Sweden
Paulo Martins Portugal
Samantha Reig United States
Dylan Moore United States
Katrin S. Lohan United Kingdom
Daniel J. Rea relative to Michiel Joosse Netherlands Michiel Joosse's profile →
Citations per field
00.5×1.5×1.9×
Michiel Joosse · 1×
Citations per year

Countries citing papers authored by Daniel J. Rea

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Rea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Rea. 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 Daniel J. Rea. The network helps show where Daniel J. Rea may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202241
2 201236
3 202126
4 201621
5 201420
6 201718
7 201717
8 201215
9 202013
10 201512
11 201911
12 201711
13 201810
14 201910
15 20238
16 20207
17 20177
18 20246
19 20246
20 20174

About Daniel J. Rea

Daniel J. Rea is a scholar working on Social Psychology, Human-Computer Interaction, Artificial Intelligence, Cognitive Neuroscience and Safety Research, having authored 29 papers that have together received 310 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (17 papers), Virtual Reality Applications and Impacts (6 papers), Human-Automation Interaction and Safety (6 papers), Ethics and Social Impacts of AI (5 papers), AI in Service Interactions (4 papers), Tactile and Sensory Interactions (4 papers), Teleoperation and Haptic Systems (3 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Human-Computer Interaction (80 citations), Social Psychology (155 citations), Cognitive Neuroscience (68 citations), Safety Research (23 citations) and Computer Vision and Pattern Recognition (52 citations). Daniel J. Rea has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include James E. Young, Stela H. Seo, Takayuki Kanda, Sebastian Schneider, Ehud Sharlin, Pourang Irani, Denise Y. Geiskkovitch, Francesco Zanlungo, Tetsushi Ikeda and Masahiro Shiomi. Their work appears in journals such as Nature Communications, International Journal of Social Robotics, Frontiers in Robotics and AI, ACM Transactions on Human-Robot Interaction and Mspace (University of Manitoba).

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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