ACM Transactions on Human-Robot Interaction

327 papers and 3.0k indexed citations

About

The 327 papers published in ACM Transactions on Human-Robot Interaction in the last decades have received a total of 3.0k indexed citations. Papers published in ACM Transactions on Human-Robot Interaction usually cover Social Psychology (223 papers), Artificial Intelligence (120 papers) and Control and Systems Engineering (70 papers) specifically the topics of Social Robot Interaction and HRI (163 papers), Human-Automation Interaction and Safety (70 papers) and AI in Service Interactions (69 papers). The most active scholars publishing in ACM Transactions on Human-Robot Interaction are Natasha Randall, Malte Jung, Pamela Hinds, Guy Hoffman, Laurel D. Riek, Kerstin Dautenhahn, Siddarth Jain, Brenna Argall, Kerstin Fischer and Xuan Zhao.

In The Last Decade

ACM Transactions on Human-Robot Interaction

252 papers receiving 2.8k citations

Fields of papers published in ACM Transactions on Human-Robot Interaction

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACM Transactions on Human-Robot Interaction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in ACM Transactions on Human-Robot Interaction.

Countries where authors publish in ACM Transactions on Human-Robot Interaction

Since Specialization
Citations

This map shows the geographic impact of research published in ACM Transactions on Human-Robot Interaction. 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 papers published in ACM Transactions on Human-Robot Interaction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ACM Transactions on Human-Robot Interaction 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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2026