Paul Baxter

2.8k total citations
74 papers, 1.3k citations indexed

About

Paul Baxter is a scholar working on Social Psychology, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Paul Baxter has authored 74 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Social Psychology, 42 papers in Artificial Intelligence and 18 papers in Control and Systems Engineering. Recurrent topics in Paul Baxter's work include Social Robot Interaction and HRI (39 papers), Reinforcement Learning in Robotics (17 papers) and AI in Service Interactions (15 papers). Paul Baxter is often cited by papers focused on Social Robot Interaction and HRI (39 papers), Reinforcement Learning in Robotics (17 papers) and AI in Service Interactions (15 papers). Paul Baxter collaborates with scholars based in United Kingdom, United States and Belgium. Paul Baxter's co-authors include Tony Belpaeme, James Kennedy, Emmanuel Senft, Rachel Wood, Séverin Lemaignan, Emily J Ashurst, Robin Read, Marc Hanheide, Yiannis Demiris and Marco Nalin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neural Networks.

In The Last Decade

Paul Baxter

72 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul Baxter United Kingdom 19 859 707 264 244 206 74 1.3k
Aditi Ramachandran United States 11 802 0.9× 679 1.0× 292 1.1× 168 0.7× 180 0.9× 20 1.3k
Carlos Martinho Portugal 20 1.3k 1.5× 904 1.3× 245 0.9× 191 0.8× 300 1.5× 58 1.8k
James Kennedy United Kingdom 19 1.4k 1.6× 1.1k 1.6× 460 1.7× 262 1.1× 308 1.5× 63 2.1k
Ginevra Castellano Sweden 23 1.3k 1.5× 857 1.2× 223 0.8× 204 0.8× 425 2.1× 92 2.0k
André Pereira Portugal 20 1.1k 1.3× 757 1.1× 186 0.7× 116 0.5× 287 1.4× 47 1.5k
Paul Vogt Netherlands 21 413 0.5× 663 0.9× 192 0.7× 309 1.3× 115 0.6× 93 1.3k
Iain Werry United Kingdom 12 866 1.0× 422 0.6× 259 1.0× 177 0.7× 500 2.4× 12 1.4k
Alessandro Di Nuovo United Kingdom 21 477 0.6× 558 0.8× 200 0.8× 123 0.5× 304 1.5× 103 1.4k
Emilia Barakova Netherlands 23 790 0.9× 518 0.7× 207 0.8× 219 0.9× 739 3.6× 140 1.9k
Samuel Spaulding United States 10 513 0.6× 514 0.7× 160 0.6× 132 0.5× 73 0.4× 22 824

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-authorship network of co-authors of Paul Baxter

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Baxter. A scholar is included among the top collaborators of Paul Baxter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul Baxter. Paul Baxter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
David, Daniel, Paul Baxter, Erik Billing, et al.. (2025). Efficacy and effectiveness of robot-assisted therapy for autism spectrum disorder: From lab to reality. Science Robotics. 10(109). eadl2266–eadl2266.
2.
Baxter, Paul. (2025). Multi-Modal Social Robot Behavioural Alignment and Learning Outcomes in Mediated Child–Robot Interactions. Biomimetics. 10(1). 50–50. 1 indexed citations
3.
Alnajjar, Fady, Christoph Bartneck, Paul Baxter, et al.. (2021). Robots in Education: An Introduction to High-Tech Social Agents, Intelligent Tutors, and Curricular Tools. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
4.
Wang, Huatian, Qinbing Fu, Hongxin Wang, et al.. (2020). A bioinspired angular velocity decoding neural network model for visually guided flights. Neural Networks. 136. 180–193. 6 indexed citations
5.
Baxter, Paul, et al.. (2020). Automatic Assessment and Learning of Robot Social Abilities. Lincoln Repository (University of Lincoln). 561–563. 1 indexed citations
6.
Hanheide, Marc, et al.. (2020). Abstract Visual Programming of Social Robots for Novice Users. Lincoln Repository (University of Lincoln). 154–156. 1 indexed citations
7.
Baxter, Paul, Emily J Ashurst, Robin Read, James Kennedy, & Tony Belpaeme. (2017). Robot education peers in a situated primary school study: Personalisation promotes child learning. PLoS ONE. 12(5). e0178126–e0178126. 119 indexed citations
8.
Baxter, Paul, James Kennedy, Emily J Ashurst, & Tony Belpaeme. (2016). The Effect of Repeating Tasks on Performance Levels in Mediated Child-Robot Interactions. Ghent University Academic Bibliography (Ghent University). 3 indexed citations
9.
Lemaignan, Séverin, James Kennedy, Paul Baxter, & Tony Belpaeme. (2016). Towards ``Machine-Learnable'' Child-Robot Interactions: the PInSoRo Dataset. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
10.
Senft, Emmanuel, Paul Baxter, James Kennedy, Séverin Lemaignan, & Tony Belpaeme. (2016). Providing a Robot with Learning Abilities Improves its Perception by Users. Human-Robot Interaction. 513–514. 2 indexed citations
11.
Baxter, Paul, James Kennedy, Emmanuel Senft, Séverin Lemaignan, & Tony Belpaeme. (2016). From characterising three years of HRI to methodology and reporting recommendations. PEARL (University of Plymouth). 391–398. 89 indexed citations
12.
Senft, Emmanuel, Paul Baxter, James Kennedy, Séverin Lemaignan, & Tony Belpaeme. (2016). Providing a robot with learning abilities improves its perception by users. PEARL (University of Plymouth). 513–514. 3 indexed citations
13.
Senft, Emmanuel, Paul Baxter, & Tony Belpaeme. (2015). Human-guided learning of social action selection for robot-assisted therapy. International Conference on Machine Learning. 15–20. 8 indexed citations
14.
Baxter, Paul & Tony Belpaeme. (2014). Pervasive Memory: the Future of Long-Term Social HRI Lies in the Past. Ghent University Academic Bibliography (Ghent University). 7 indexed citations
15.
Greeff, Joachim de, et al.. (2013). Activity switching in child-robot interaction: a hospital case study. Ghent University Academic Bibliography (Ghent University). 4 indexed citations
16.
Baxter, Paul, Joachim de Greeff, Rachel Wood, & Tony Belpaeme. (2012). “And what is a Seasnake?” Modelling the acquisition of concept prototypes in a developmental framework. Ghent University Academic Bibliography (Ghent University). 1–6. 1 indexed citations
17.
Baxter, Paul, Rachel Wood, Anthony Morse, & Tony Belpaeme. (2011). Memory-Centred Architectures: Perspectives on Human-Level Cognitive Competencies. National Conference on Artificial Intelligence. 5 indexed citations
18.
Baxter, Paul, et al.. (2008). QUALITATIVE CASE STUDY METHODOLOGY: STUDY DESIGN AND IMPLEMENTATION. 13(4). 544–599. 19 indexed citations
19.
Baxter, Paul, et al.. (2004). Less pain, more gain: rapid skill development using old way new way. Journal of Vocational Education and Training. 56(1). 21–50. 8 indexed citations
20.
Baxter, Paul, et al.. (1999). Old habits no longer die hard: Accelerating the development of skilled performance using a novel approach to error and technique correction and habit unlearning. eCite Digital Repository (University of Tasmania). 1 indexed citations

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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