Heather E. Gary

674 citations
15 papers · 507 · h-index 9

Impact in

Papers in

Heather E. Gary

15 papers receiving 487 citations

Peers

Heather E. Gary
Comparison fields: 5 of 58
  • Social Psychology 346
  • Safety Research 128
  • Human-Computer Interaction 67
  • Cognitive Neuroscience 159
  • Developmental and Educational Psychology 69
Replace Laura L. Hoffmann with:
Laura L. Hoffmann Germany
Giulia Perugia Netherlands
Nicolas Spatola France
Anna-Lisa Vollmer Germany
Massimiliano Lorenzo Cappuccio Australia
Federico Manzi Italy
Àlex Barco Netherlands
Denise Y. Geiskkovitch Canada
Markus Häring Germany
Caroline L. van Straten Netherlands
Heather E. Gary relative to Laura L. Hoffmann Germany Laura L. Hoffmann's profile →
Citations per field
00.5×1.5×1.8×
Laura L. Hoffmann · 1×
Citations per year

Countries citing papers authored by Heather E. Gary

Since Specialization
Citations

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

Fields of papers citing papers by Heather E. Gary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather E. Gary. 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 Heather E. Gary. The network helps show where Heather E. Gary may publish in the future.

Co-authors

The 10 scholars most cited alongside Heather E. Gary, 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 Heather E. Gary Line = papers co-authored together Heather E. Gary links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2012131
2 201196
3 201295
4 201548
5 201637
6 201635
7 201312
8
Psychological Intimacy with Robots? Using interaction patterns to uncover depth of relation
201511
9 201010
10 20138
11 20147
12 20147
13 20135
14 20194
15
Autonomous Movement Predicts Children's Moral Regard and Prosocial Behavior Towards a Social Robot Dog.
20141

About Heather E. Gary

Heather E. Gary is a scholar working on Social Psychology, Human-Computer Interaction, Cognitive Neuroscience, Safety Research and Developmental and Educational Psychology, having authored 15 papers that have together received 507 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (11 papers), AI in Service Interactions (5 papers), Child and Animal Learning Development (3 papers), Ethics and Social Impacts of AI (3 papers), Human-Animal Interaction Studies (3 papers), Psychology of Moral and Emotional Judgment (2 papers), Persona Design and Applications (2 papers) and Neuroethics, Human Enhancement, Biomedical Innovations (1 paper). The work is most often cited by research in Social Psychology (346 citations), Safety Research (128 citations), Human-Computer Interaction (67 citations), Cognitive Neuroscience (159 citations) and Developmental and Educational Psychology (69 citations). Heather E. Gary has collaborated with scholars based in United States and Japan. Frequent co-authors include Peter H. Kahn, Solace Shen, H. Ishiguro, Jolina H. Ruckert, Takayuki Kanda, Brian T. Gill, Aimee L. Reichert, Nadia Chernyak, Nathan G. Freier and Rachel L. Severson. Their work appears in journals such as Early Education and Development, Cognitive Science, Human Development, Child Development Perspectives and Human-Robot Interaction.

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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