Caitlyn Clabaugh
- Social Psychology top 10%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Occupational Therapy top 5%
- Control and Systems Engineering
- Co-authors
- Maja J. MatarićGisele RagusaEric DengMaja MatarićDavid BecerraFei ShaElaine Schaertl ShortAmin Atrash
- Topics
- Social Robot Interaction and HRI (10 papers)Autism Spectrum Disorder Research (6 papers)Assistive Technology in Communication and Mobility (5 papers)
- Journals
- Science RoboticsFrontiers in Robotics and AIHuman-Robot Interaction
- Partner nations
- United States
In The Last Decade
Caitlyn Clabaugh
14 papers receiving 323 citations
Peers
Comparison fields: 5 of 65
- Social Psychology 167
- Cognitive Neuroscience 140
- Artificial Intelligence 112
- Occupational Therapy 62
- Control and Systems Engineering 41
Countries citing papers authored by Caitlyn Clabaugh
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 89 | |
| 3 | 31 | |
| 4 | 19 | |
| 5 | Attentiveness of Children with Diverse Needs to a Socially Assistive Robot in the Home | 3 |
| 6 | 22 | |
| 7 | 49 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | Estimating Visual Focus of Attention in Dyadic Human-Robot Interaction for Planar Tasks | 1 |
| 11 | 30 | |
| 12 | Towards a Personalized Model of Number Concepts Learning in Preschool Children | 3 |
| 13 | Socially Assistive Robotics for Personalized Education for Children | 8 |
| 14 | Building Blocks of Social Intelligence: Enabling Autonomy for Socially Intelligent and Assistive Robots | 3 |
About Caitlyn Clabaugh
Caitlyn Clabaugh is a scholar working on Occupational Therapy, Social Psychology and Computer Science Applications, having authored 14 papers that have together received 330 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (10 papers), Autism Spectrum Disorder Research (6 papers) and Assistive Technology in Communication and Mobility (5 papers). The work is most often cited by research in Occupational Therapy (62 citations), Social Psychology (167 citations) and Cognitive Neuroscience (140 citations). Caitlyn Clabaugh has collaborated with scholars based in United States. Frequent co-authors include Maja J. Matarić, Gisele Ragusa, Eric Deng, Maja Matarić, David Becerra, Fei Sha, Elaine Schaertl Short, Amin Atrash and Ross Mead. Their work appears in journals such as Science Robotics, Frontiers in Robotics and AI and Human-Robot Interaction.
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.