Paul Baxter

3.0k citations
78 papers · 1.5k · h-index 20

Impact in

Papers in

Paul Baxter

76 papers receiving 1.4k citations

Peers

Paul Baxter
Comparison fields: 5 of 102
  • Social Psychology 982
  • Computer Science Applications 169
  • Human-Computer Interaction 136
  • Artificial Intelligence 773
  • Developmental and Educational Psychology 265
Replace Aditi Ramachandran with:
Aditi Ramachandran United States
Ginevra Castellano Sweden
Carlos Martinho Portugal
James Kennedy United Kingdom
André Pereira Portugal
Sarah Woods United Kingdom
Ruth Aylett United Kingdom
Fumihide Tanaka Japan
Jeonghye Han South Korea
Patrícia Alves‐Oliveira Portugal
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Citations per field
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Citations per year

Countries citing papers authored by Paul Baxter

Since Specialization
Citations

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

Fields of papers citing papers by Paul Baxter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015172
2 2017124
3 2014114
4 201696
5 201690
6 201175
7
Social robot tutoring for child second language learning
201658
8 201156
9
From characterising three years of HRI to methodology and reporting recommendations
201645
10 201936
11
Long-term human-robot interaction with young users
201135
12 201932
13 201232
14 200231
15 201430
16
L2TOR - Second Language Tutoring using Social Robots
201530
17 201628
18 201727
19 201724
20 201622

About Paul Baxter

Paul Baxter is a scholar working on Social Psychology, Artificial Intelligence, Control and Systems Engineering, Developmental and Educational Psychology and Cognitive Neuroscience, having authored 78 papers that have together received 1.5k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (42 papers), AI in Service Interactions (17 papers), Reinforcement Learning in Robotics (17 papers), Child and Animal Learning Development (11 papers), Robot Manipulation and Learning (11 papers), Robotics and Automated Systems (9 papers), Speech and dialogue systems (7 papers) and Teaching and Learning Programming (7 papers). The work is most often cited by research in Social Psychology (982 citations), Computer Science Applications (169 citations), Human-Computer Interaction (136 citations), Artificial Intelligence (773 citations) and Developmental and Educational Psychology (265 citations). Paul Baxter has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Tony Belpaeme, James Kennedy, Emmanuel Senft, Séverin Lemaignan, Rachel Wood, Emily J Ashurst, Robin Read, Marc Hanheide, Yiannis Demiris and Marco Nalin. Their work appears in journals such as Science Robotics, International Journal of Social Robotics, Pattern Recognition Letters, The Sport Psychologist and PLoS ONE.

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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