Jesse Gray

24 papers receiving 869 citations

Peers

Jesse Gray
Comparison fields: 5 of 70
  • Social Psychology 584
  • Human-Computer Interaction 125
  • Control and Systems Engineering 368
  • Artificial Intelligence 371
  • Cognitive Neuroscience 168
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Justin Hart United States
Marek P. Michalowski United States
C. Kaouri United Kingdom
Emmanuel Senft United Kingdom
Kazuhiko Shinozawa Japan
Keiichi Yamazaki Japan
Joe Saunders United Kingdom
Maha Salem United Kingdom
Martin Saerbeck Singapore
Akiko Yamazaki Japan
Jesse Gray relative to Justin Hart United States Justin Hart's profile →
Citations per field
00.5×2.9×
Justin Hart · 1×
Citations per year

Countries citing papers authored by Jesse Gray

Since Specialization
Citations

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

Fields of papers citing papers by Jesse Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005159
2 2004103
3 200682
4 200978
5 200674
6
HUMANOID ROBOTS AS COOPERATIVE PARTNERS FOR PEOPLE
200468
7 200354
8
Perspective taking: an organizing principle for learning in human-robot interaction
200648
9 200544
10 200639
11 200437
12 201030
13 200824
14 201623
15 200423
16 200222
17 200519
18 201418
19 200410
20
Learning From and About Others: Towards Using Imitation to Bootstrap the Social Competence of Robots
20034

About Jesse Gray

Jesse Gray is a scholar working on Social Psychology, Control and Systems Engineering, Computer Vision and Pattern Recognition, Developmental and Educational Psychology and Artificial Intelligence, having authored 24 papers that have together received 969 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (14 papers), Human Motion and Animation (7 papers), Action Observation and Synchronization (7 papers), Child and Animal Learning Development (6 papers), Human Pose and Action Recognition (4 papers), Interactive and Immersive Displays (3 papers), Speech and dialogue systems (3 papers) and Robotics and Automated Systems (3 papers). The work is most often cited by research in Social Psychology (584 citations), Human-Computer Interaction (125 citations), Control and Systems Engineering (368 citations), Artificial Intelligence (371 citations) and Cognitive Neuroscience (168 citations). Jesse Gray has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Cynthia Breazeal, Andrëw G. Brööks, Matt Berlin, Guy Hoffman, Jeff Lieberman, Bruce Blumberg, Daphna Buchsbaum, Andrea Lockerd, Cory D. Kidd and Hans C. Lee. Their work appears in journals such as Robotics and Autonomous Systems, Artificial Life, International Journal of Social Robotics, The International Journal of Robotics Research and Communications of the ACM.

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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