Masahiro Shiomi

5.1k total citations
197 papers, 3.4k citations indexed

About

Masahiro Shiomi is a scholar working on Social Psychology, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Masahiro Shiomi has authored 197 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Social Psychology, 54 papers in Artificial Intelligence and 52 papers in Control and Systems Engineering. Recurrent topics in Masahiro Shiomi's work include Social Robot Interaction and HRI (134 papers), Robotics and Automated Systems (44 papers) and AI in Service Interactions (30 papers). Masahiro Shiomi is often cited by papers focused on Social Robot Interaction and HRI (134 papers), Robotics and Automated Systems (44 papers) and AI in Service Interactions (30 papers). Masahiro Shiomi collaborates with scholars based in Japan, United States and Sweden. Masahiro Shiomi's co-authors include Norihiro Hagita, Takayuki Kanda, Hiroshi Ishiguro, Zenta Miyashita, Kotaro Hayashi, Takamasa Iio, Kazuhiko Shinozawa, Dylan F. Glas, Norihiro Hagita and Katsunori Shimohara and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Masahiro Shiomi

179 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Masahiro Shiomi Japan 29 2.3k 1.2k 834 710 573 197 3.4k
Michael L. Walters United Kingdom 28 2.4k 1.1× 1.4k 1.2× 700 0.8× 378 0.5× 486 0.8× 66 3.1k
Kheng Lee Koay United Kingdom 29 2.4k 1.1× 1.5k 1.3× 714 0.9× 394 0.6× 489 0.9× 67 3.1k
Aaron Steinfeld United States 31 1.6k 0.7× 1.0k 0.9× 505 0.6× 604 0.9× 729 1.3× 146 3.7k
Michita Imai Japan 26 1.6k 0.7× 807 0.7× 981 1.2× 766 1.1× 839 1.5× 179 2.8k
Guy Hoffman United States 36 2.4k 1.0× 1.3k 1.1× 1.1k 1.3× 576 0.8× 760 1.3× 121 3.8k
Leila Takayama United States 31 1.8k 0.8× 930 0.8× 581 0.7× 594 0.8× 1.3k 2.3× 89 3.7k
Goldie Nejat Canada 30 1.2k 0.5× 1.1k 1.0× 589 0.7× 1.2k 1.7× 267 0.5× 172 3.5k
Jessie Y. C. Chen United States 25 3.0k 1.3× 1.0k 0.9× 496 0.6× 344 0.5× 433 0.8× 79 4.4k
Wendy Ju United States 36 2.8k 1.2× 670 0.6× 407 0.5× 467 0.7× 1.2k 2.1× 215 4.3k
Selma Šabanović United States 31 2.3k 1.0× 1.3k 1.1× 405 0.5× 401 0.6× 816 1.4× 183 3.6k

Countries citing papers authored by Masahiro Shiomi

Since Specialization
Citations

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

Fields of papers citing papers by Masahiro Shiomi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiro Shiomi

This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Shiomi. A scholar is included among the top collaborators of Masahiro Shiomi 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 Masahiro Shiomi. Masahiro Shiomi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ishiguro, Hiroshi, et al.. (2025). Baby schema in human-robot physical interaction: Influence of baby likeness in a communication robot on caregiving behavior. SHILAP Revista de lepidopterología. 4. 100150–100150.
2.
Shiomi, Masahiro, et al.. (2025). Effects of a robot’s head-tilting motion and hand gesture on the feeling of kawaii toward the robot and its outfit. Advanced Robotics. 39(19-20). 1234–1246.
3.
Iio, Takamasa, et al.. (2024). Speed effects in touching behaviours: impact on perceived relationships in robot-robot interactions. Advanced Robotics. 38(7). 492–509. 2 indexed citations
4.
Sumioka, Hidenobu, et al.. (2023). Moffuly-II: A Robot that Hugs and Rubs Heads. International Journal of Social Robotics. 16(2). 299–309. 5 indexed citations
5.
Iio, Takamasa, et al.. (2023). Two is better than one: Apologies from two robots are preferred. PLoS ONE. 18(2). e0281604–e0281604. 18 indexed citations
6.
Shiomi, Masahiro, et al.. (2023). A Broad View on Robot Self-Defense: Rapid Scoping Review and Cultural Comparison. Robotics. 12(2). 43–43. 9 indexed citations
7.
Sumioka, Hidenobu, et al.. (2023). Designing a Robot which Touches the User's Head with Intra-Hug Gestures. 314–317. 1 indexed citations
8.
Iio, Takamasa, et al.. (2023). Is Politeness Better than Impoliteness? Comparisons of Robot's Encouragement Effects Toward Performance, Moods, and Propagation. International Journal of Social Robotics. 15(5). 717–729. 4 indexed citations
9.
Shiomi, Masahiro. (2023). A systematic survey of multiple social robots as a passive- and interactive-social medium. Advanced Robotics. 38(7). 440–454. 7 indexed citations
10.
Shiomi, Masahiro, Rina Hayashi, & Hiroshi Nittono. (2023). Is two cuter than one? number and relationship effects on the feeling of kawaii toward social robots. PLoS ONE. 18(10). e0290433–e0290433. 9 indexed citations
11.
Doi, Satomi, Aya Isumi, Yui Yamaoka, et al.. (2023). The effect of breathing relaxation to improve poor sleep quality in adults using a huggable human-shaped device: a randomized controlled trial. Sleep And Breathing. 28(1). 429–439. 1 indexed citations
12.
Sumioka, Hidenobu, et al.. (2023). Practical Development of a Robot to Assist Cognitive Reconstruction in Psychiatric Day Care. 572–575. 4 indexed citations
13.
Shiomi, Masahiro, et al.. (2022). Stay away from me: Coughing increases social distance even in a virtual environment. PLoS ONE. 17(12). e0279717–e0279717. 3 indexed citations
14.
Nakanishi, Junya, et al.. (2021). A Robot That Encourages Self-Disclosure to Reduce Anger Mood. IEEE Robotics and Automation Letters. 6(4). 7925–7932. 23 indexed citations
15.
Shiomi, Masahiro, et al.. (2020). Two is better than one: Social rewards from two agents enhance offline improvements in motor skills more than single agent. PLoS ONE. 15(11). e0240622–e0240622. 24 indexed citations
16.
Shiomi, Masahiro, et al.. (2020). Modeling the Timing and Duration of Grip Behavior to Express Emotions for a Social Robot. IEEE Robotics and Automation Letters. 6(1). 159–166. 14 indexed citations
17.
Shiomi, Masahiro, et al.. (2019). What Kinds of Robot's Touch Will Match Expressed Emotions?. IEEE Robotics and Automation Letters. 5(1). 127–134. 38 indexed citations
18.
Shiomi, Masahiro & Norihiro Hagita. (2019). Audio-Visual Stimuli Change not Only Robot’s Hug Impressions but Also Its Stress-Buffering Effects. International Journal of Social Robotics. 13(3). 469–476. 21 indexed citations
19.
Ishi, Carlos Toshinori, et al.. (2016). Analysis of laughter events and social status of children in classrooms. 1004–1008. 1 indexed citations
20.
Kidokoro, Hiroyuki, Takayuki Kanda, Dražen Brščić, & Masahiro Shiomi. (2013). Will i bother here?: a robot anticipating its influence on pedestrian walking comfort. Human-Robot Interaction. 259–266. 23 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.

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