Caitlyn Clabaugh

497 total citations
14 papers, 330 citations indexed

About

Caitlyn Clabaugh is a scholar working on Social Psychology, Cognitive Neuroscience and Occupational Therapy. According to data from OpenAlex, Caitlyn Clabaugh has authored 14 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Social Psychology, 7 papers in Cognitive Neuroscience and 5 papers in Occupational Therapy. Recurrent topics in Caitlyn Clabaugh's work include Social Robot Interaction and HRI (10 papers), Autism Spectrum Disorder Research (6 papers) and Assistive Technology in Communication and Mobility (5 papers). Caitlyn Clabaugh is often cited by papers focused on Social Robot Interaction and HRI (10 papers), Autism Spectrum Disorder Research (6 papers) and Assistive Technology in Communication and Mobility (5 papers). Caitlyn Clabaugh collaborates with scholars based in United States. Caitlyn Clabaugh's co-authors include Maja J. Matarić, Gisele Ragusa, Eric Deng, Maja Matarić, David Becerra, Fei Sha, Elaine Schaertl Short, Amin Atrash and Ross Mead and has published in prestigious journals such as Science Robotics, Frontiers in Robotics and AI and Human-Robot Interaction.

In The Last Decade

Caitlyn Clabaugh

14 papers receiving 323 citations

Peers

Caitlyn Clabaugh

SP

CN

AI

OT

CSE

Eric Deng United States

Greet Van de Perre Belgium

Giuseppe Palestra Italy

Tamie Salter Canada

N.A. Mirza United Kingdom

Jaeryoung Lee Japan

Amir Aly United Kingdom

Erik Billing Sweden

Laura Boccanfuso United States

Andreea Peca Romania

Eric Deng United States

Caitlyn Clabaugh

210 ×1.3

SP

117 ×0.8

CN

136 ×1.2

AI

42 ×0.7

OT

56 ×1.4

CSE

Citations per year, relative to Caitlyn Clabaugh Caitlyn Clabaugh (= 1×) peers Eric Deng

Countries citing papers authored by Caitlyn Clabaugh

Since Specialization

Citations

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

Fields of papers citing papers by Caitlyn Clabaugh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caitlyn Clabaugh

This figure shows the co-authorship network connecting the top 25 collaborators of Caitlyn Clabaugh. A scholar is included among the top collaborators of Caitlyn Clabaugh 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 Caitlyn Clabaugh. Caitlyn Clabaugh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Clabaugh, Caitlyn, et al.. (2020). Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders. Science Robotics. 5(39). 60 indexed citations

2.

Clabaugh, Caitlyn, et al.. (2019). Long-Term Personalization of an In-Home Socially Assistive Robot for Children With Autism Spectrum Disorders. Frontiers in Robotics and AI. 6. 110–110. 89 indexed citations

3.

Clabaugh, Caitlyn & Maja Matarić. (2019). Escaping Oz: Autonomy in Socially Assistive Robotics. 2(1). 33–61. 31 indexed citations

4.

Clabaugh, Caitlyn, et al.. (2019). Designing a Socially Assistive Robot for Long-Term In-Home Use for Children with Autism Spectrum Disorders. 1–7. 19 indexed citations

5.

Clabaugh, Caitlyn, et al.. (2018). Attentiveness of Children with Diverse Needs to a Socially Assistive Robot in the Home. 3 indexed citations

6.

Clabaugh, Caitlyn, David Becerra, Eric Deng, Gisele Ragusa, & Maja J. Matarić. (2018). Month-long, In-home Case Study of a Socially Assistive Robot for Children with Autism Spectrum Disorder. 87–88. 22 indexed citations

7.

Clabaugh, Caitlyn & Maja J. Matarić. (2018). Robots for the people, by the people: Personalizing human-machine interaction. Science Robotics. 3(21). 49 indexed citations

8.

Clabaugh, Caitlyn. (2017). Interactive Personalization for Socially Assistive Robots. 339–340. 3 indexed citations

9.

Clabaugh, Caitlyn & Maja J. Matarić. (2016). Exploring elicitation frequency of learning-sensitive information by a robotic tutor for interactive personalization. 968–973. 9 indexed citations

10.

Clabaugh, Caitlyn, et al.. (2015). Estimating Visual Focus of Attention in Dyadic Human-Robot Interaction for Planar Tasks. 1 indexed citations

11.

Clabaugh, Caitlyn, Gisele Ragusa, Fei Sha, & Maja J. Matarić. (2015). Designing a socially assistive robot for personalized number concepts learning in preschool children. 314–319. 30 indexed citations

12.

Clabaugh, Caitlyn, Fei Sha, Gisele Ragusa, & Maja J. Matarić. (2015). Towards a Personalized Model of Number Concepts Learning in Preschool Children. 3 indexed citations

13.

Short, Elaine Schaertl, et al.. (2014). Socially Assistive Robotics for Personalized Education for Children. Human-Robot Interaction. 8 indexed citations

14.

Mead, Ross, et al.. (2014). Building Blocks of Social Intelligence: Enabling Autonomy for Socially Intelligent and Assistive Robots. Human-Robot Interaction. 3 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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