Question 1

Which countries lead Social Robot Interaction and HRI research?

Accepted Answer

By volume, the United States and China publish the most (1k and 843 works in 2022-now).

Question 2

Which institutions lead Social Robot Interaction and HRI research?

Accepted Answer

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Social Robot Interaction and HRI research, followed by Tsinghua University and The University of Tokyo.

Question 3

Who are the leading researchers in Social Robot Interaction and HRI?

Accepted Answer

The most-cited researchers publishing on Social Robot Interaction and HRI include Yann LeCun, Li Fei-Fei and Trevor J. Darrell.

Question 4

Where is Social Robot Interaction and HRI research done?

Accepted Answer

The largest centres of Social Robot Interaction and HRI research in 2022-now are Tokyo (Japan), Beijing (China), Seoul (South Korea) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Genoa.

Question 5

Where is the best place to study Social Robot Interaction and HRI?

Accepted Answer

Among universities, judged by research, KTH Royal Institute of Technology, Hong Kong Polytechnic University and Carnegie Mellon University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

Question 6

Is Social Robot Interaction and HRI research growing?

Accepted Answer

Output in 2022-2025 was 70% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Social Robot Interaction and HRI.

Question 7

What are the most cited papers in Social Robot Interaction and HRI?

Accepted Answer

The most cited paper in Social Robot Interaction and HRI is "ROS: an open-source Robot Operating System" (Morgan Quigley, 2009), with 7,166 citations. Next come "An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller" (5,630) and "IEMOCAP: interactive emotional dyadic motion capture database" (3,844).