Brian Scassellati

120 papers and 5.3k indexed citations i.

About

Brian Scassellati is a scholar working on Social Psychology, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Brian Scassellati has authored 120 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Social Psychology, 53 papers in Artificial Intelligence and 35 papers in Cognitive Neuroscience. Recurrent topics in Brian Scassellati’s work include Social Robot Interaction and HRI (57 papers), Robot Manipulation and Learning (30 papers) and Reinforcement Learning in Robotics (26 papers). Brian Scassellati is often cited by papers focused on Social Robot Interaction and HRI (57 papers), Robot Manipulation and Learning (30 papers) and Reinforcement Learning in Robotics (26 papers). Brian Scassellati collaborates with scholars based in United States, United Kingdom and Japan. Brian Scassellati's co-authors include Cynthia Breazeal, Maja J. Matarić, Henny Admoni, Aditi Ramachandran, Frederick Shic, Fumihide Tanaka, Tony Belpaeme, James Kennedy, Elizabeth S. Kim and Justin Hart and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Trends in Cognitive Sciences and Brain Research.

In The Last Decade

Co-authorship network of co-authors of Brian Scassellati i

Fields of papers citing papers by Brian Scassellati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Brian Scassellati

Since Specialization
Citations

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

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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