Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Socially Assistive Robotics
2005624 citationsDavid Feil-Seifer, Maja J. Matarićprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by David Feil-Seifer
Since
Specialization
Citations
This map shows the geographic impact of David Feil-Seifer'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 David Feil-Seifer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Feil-Seifer more than expected).
Fields of papers citing papers by David Feil-Seifer
This network shows the impact of papers produced by David Feil-Seifer. 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 David Feil-Seifer. The network helps show where David Feil-Seifer may publish in the future.
Co-authorship network of co-authors of David Feil-Seifer
This figure shows the co-authorship network connecting the top 25 collaborators of David Feil-Seifer.
A scholar is included among the top collaborators of David Feil-Seifer 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 David Feil-Seifer. David Feil-Seifer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sengupta, Shamik, et al.. (2018). Unplugged Robotics as a Platform for Cybersecurity Education in the Elementary Classroom. Information Systems Education Journal. 6(2). 18–18.2 indexed citations
6.
Feil-Seifer, David, et al.. (2018). Search and Rescue Operations with Mesh Networked Robots.5 indexed citations
7.
Feil-Seifer, David, et al.. (2016). Socially-Aware Navigation: Action Discrimination to Select Appropriate Behavior.. National Conference on Artificial Intelligence.3 indexed citations
Admoni, Henny, Bradley Hayes, David Feil-Seifer, Daniel Ullman, & Brian Scassellati. (2013). Dancing With Myself: The effect of majority group size on perceptions of majority and minority robot group members. Cognitive Science. 35(35).5 indexed citations
Feil-Seifer, David & Maja J. Matarić. (2011). Using Robots to Augment (not Replace) People in Therapeutic Settings.3 indexed citations
13.
Feil-Seifer, David & Maja J. Matarić. (2011). Ethical Principles for Socially Assistive Robotics. IEEE Robotics & Automation Magazine. 18(1). 24–31.23 indexed citations
14.
Feil-Seifer, David & Maja J. Matarić. (2010). Dry Your Eyes: Examining the Roles of Robots for Childcare Applications. IEEE Intelligent Systems. 11(2). 208–213.1 indexed citations
Feil-Seifer, David & Maja J. Matarić. (2009). Towards the integration of socially assistive robots into the lives of children with ASD. Human-Robot Interaction.11 indexed citations
17.
Feil-Seifer, David. (2008). Socially Assistive Robot-Based Intervention for Children with Autism Spectrum Disorder. International Conference on Robotics and Automation. 10–11.4 indexed citations
18.
Matarić, Maja J., Nathan Koenig, & David Feil-Seifer. (2007). Materials for Enabling Hands-On Robotics and STEM Education. National Conference on Artificial Intelligence. 99–102.89 indexed citations
Kollar, Thomas, et al.. (2002). Mabel: building a robot designed for human interaction. UR Research (University of Rochester). 24–31.4 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.