Joe Saunders

57 papers receiving 962 citations

Peers

Joe Saunders
Comparison fields: 5 of 90
  • Social Psychology 496
  • Human-Computer Interaction 78
  • Artificial Intelligence 433
  • Developmental and Educational Psychology 158
  • Control and Systems Engineering 280
Replace Ivana Kruijff‐Korbayová with:
Ivana Kruijff‐Korbayová Germany
Maha Ben Salem United Kingdom
Joseph Bates United States
Andrew N. Marshall United States
Justin Hart United States
Raquel Ros Spain
Barbara Bruno Switzerland
Zsófia Ruttkay Netherlands
Aurélie Clodic France
Bernd Kiefer Germany
Joe Saunders relative to Ivana Kruijff‐Korbayová Germany Ivana Kruijff‐Korbayová's profile →
Citations per field
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Ivana Kruijff‐Korbayová · 1×
Citations per year

Countries citing papers authored by Joe Saunders

Since Specialization
Citations

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

Fields of papers citing papers by Joe Saunders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010126
2 2015105
3 2006104
4 201560
5 200739
6 201339
7 201138
8 201732
9 201329
10
Formal Verification of an Autonomous Personal Robotic Assistant
201427
11 201226
12 201526
13 201525
14 201324
15 201723
16 201218
17 201418
18 201418
19 201017
20 200616

About Joe Saunders

Joe Saunders is a scholar working on Social Psychology, Developmental and Educational Psychology, Cultural Studies, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 1.0k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (25 papers), Language and cultural evolution (13 papers), Child and Animal Learning Development (11 papers), Speech and dialogue systems (11 papers), Language Development and Disorders (8 papers), Action Observation and Synchronization (8 papers), Robot Manipulation and Learning (8 papers) and Reinforcement Learning in Robotics (6 papers). The work is most often cited by research in Social Psychology (496 citations), Human-Computer Interaction (78 citations), Artificial Intelligence (433 citations), Developmental and Educational Psychology (158 citations) and Control and Systems Engineering (280 citations). Joe Saunders has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Kerstin Dautenhahn, Chrystopher L. Nehaniv, Kheng Lee Koay, Dag Sverre Syrdal, Kerstin Fischer, Britta Wrede, Katharina J. Rohlfing, Clare Dixon, Michael Fisher and Matt Webster. Their work appears in journals such as IEEE Transactions on Human-Machine Systems, Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems, Connection Science, Topics in Cognitive Science and Journalism Practice.

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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