Samuel Spaulding

1.2k total citations
22 papers, 824 citations indexed

About

Samuel Spaulding is a scholar working on Artificial Intelligence, Social Psychology and Computer Science Applications. According to data from OpenAlex, Samuel Spaulding has authored 22 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Social Psychology and 6 papers in Computer Science Applications. Recurrent topics in Samuel Spaulding's work include Social Robot Interaction and HRI (13 papers), Intelligent Tutoring Systems and Adaptive Learning (9 papers) and AI in Service Interactions (6 papers). Samuel Spaulding is often cited by papers focused on Social Robot Interaction and HRI (13 papers), Intelligent Tutoring Systems and Adaptive Learning (9 papers) and AI in Service Interactions (6 papers). Samuel Spaulding collaborates with scholars based in United States, Israel and United Kingdom. Samuel Spaulding's co-authors include Brian Scassellati, Cynthia Breazeal, Mariya Toneva, Goren Gordon, Jacqueline Kory Westlund, Jin Joo Lee, Madhurima Das, Hae Won Park, Ishaan Grover and Aditi Ramachandran and has published in prestigious journals such as Cognitive Science, Autonomous Agents and Multi-Agent Systems and Frontiers in Robotics and AI.

In The Last Decade

Samuel Spaulding

21 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Spaulding United States 10 514 513 160 150 132 22 824
Jin Joo Lee United States 12 363 0.7× 485 0.9× 120 0.8× 73 0.5× 84 0.6× 26 822
Patrícia Alves‐Oliveira Portugal 17 311 0.6× 490 1.0× 107 0.7× 137 0.9× 77 0.6× 60 849
Aditi Ramachandran United States 11 679 1.3× 802 1.6× 292 1.8× 210 1.4× 168 1.3× 20 1.3k
Emmanuel Senft United Kingdom 15 358 0.7× 437 0.9× 146 0.9× 42 0.3× 55 0.4× 48 742
Birgit Lugrin Germany 13 227 0.4× 312 0.6× 76 0.5× 47 0.3× 69 0.5× 80 591
Marina Fridin Israel 7 170 0.3× 232 0.5× 119 0.7× 144 1.0× 84 0.6× 8 542
Sandra Y. Okita United States 15 154 0.3× 213 0.4× 88 0.6× 113 0.8× 198 1.5× 30 588
Martin Saerbeck Singapore 10 240 0.5× 391 0.8× 192 1.2× 52 0.3× 119 0.9× 22 758
Cristen Torrey United States 9 380 0.7× 571 1.1× 89 0.6× 47 0.3× 42 0.3× 14 854
Shizuko Matsuzoe Japan 8 186 0.4× 268 0.5× 114 0.7× 88 0.6× 70 0.5× 10 406

Countries citing papers authored by Samuel Spaulding

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Spaulding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Spaulding

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Spaulding. A scholar is included among the top collaborators of Samuel Spaulding 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 Samuel Spaulding. Samuel Spaulding 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.
Spaulding, Samuel, et al.. (2021). Towards Transferrable Personalized Student Models in Educational Games. Autonomous Agents and Multi-Agent Systems. 1245–1253. 2 indexed citations
2.
Spaulding, Samuel, et al.. (2021). Lifelong Personalization via Gaussian Process Modeling for Long-Term HRI. Frontiers in Robotics and AI. 8. 683066–683066. 8 indexed citations
3.
Irfan, Bahar, Aditi Ramachandran, Samuel Spaulding, et al.. (2021). Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI). OpenMETU (Middle East Technical University). 724–727. 8 indexed citations
4.
Spaulding, Samuel. (2020). Towards Transferrable Affective Models for Educational Play. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 16(1). 340–342.
5.
Bailey, Alison L., et al.. (2019). A robotic interface for the administration of language, literacy, and speech pathology assessments for children.. 41–42. 4 indexed citations
6.
Spaulding, Samuel & Cynthia Breazeal. (2019). Frustratingly Easy Personalization for Real-time Affect Interpretation of Facial Expression. 531–537. 7 indexed citations
7.
Irfan, Bahar, Aditi Ramachandran, Samuel Spaulding, et al.. (2019). Personalization in Long-Term Human-Robot Interaction. PEARL (University of Plymouth). 685–686. 36 indexed citations
8.
Park, Hae Won, et al.. (2019). A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 687–694. 93 indexed citations
9.
Spaulding, Samuel & Cynthia Breazeal. (2019). Pronunciation-Based Child-Robot Game Interactions to Promote Literacy Skills. 554–555. 2 indexed citations
10.
Spaulding, Samuel, et al.. (2018). A Social Robot System for Modeling Children's Word Pronunciation: Socially Interactive Agents Track. Adaptive Agents and Multi-Agents Systems. 1658–1666. 12 indexed citations
11.
Spaulding, Samuel, et al.. (2018). A Social Robot System for Modeling Children's Word Pronunciation. Autonomous Agents and Multi-Agent Systems. 4 indexed citations
12.
Spaulding, Samuel. (2018). Personalized Robot Tutors that Learn from Multimodal Data. Adaptive Agents and Multi-Agents Systems. 1781–1783. 3 indexed citations
13.
Spaulding, Samuel, Goren Gordon, & Cynthia Breazeal. (2016). Affect-Aware Student Models for Robot Tutors. Adaptive Agents and Multi-Agents Systems. 864–872. 24 indexed citations
14.
Knox, W. Bradley, Samuel Spaulding, & Cynthia Breazeal. (2016). Learning from the Wizard: Programming Social Interaction through Teleoperated Demonstrations (Extended Abstract). Adaptive Agents and Multi-Agents Systems. 1309–1310. 1 indexed citations
15.
Gordon, Goren, Samuel Spaulding, Jacqueline Kory Westlund, et al.. (2016). Affective Personalization of a Social Robot Tutor for Children’s Second Language Skills. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 222 indexed citations
16.
Westlund, Jacqueline Kory, Jin Joo Lee, Jesse Gray, et al.. (2016). Tega: A social robot. 561–561. 23 indexed citations
17.
Westlund, Jacqueline Kory, Goren Gordon, Samuel Spaulding, et al.. (2016). Lessons from teachers on performing HRI studies with young children in schools. DSpace@MIT (Massachusetts Institute of Technology). 383–390. 33 indexed citations
18.
Spaulding, Samuel & Cynthia Breazeal. (2015). Towards Affect-Awareness for Social Robots.. National Conference on Artificial Intelligence. 128–130. 2 indexed citations
19.
Spaulding, Samuel, et al.. (2014). Personalizing robot tutors to individuals' learning differences. 423–430. 152 indexed citations
20.
Spaulding, Samuel, et al.. (2012). The Physical Presence of a Robot Tutor Increases Cognitive Learning Gains. Cognitive Science. 34(34). 173 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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