Hiroyasu Miwa

1.3k total citations
67 papers, 874 citations indexed

About

Hiroyasu Miwa is a scholar working on Social Psychology, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Hiroyasu Miwa has authored 67 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Social Psychology, 16 papers in Control and Systems Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Hiroyasu Miwa's work include Social Robot Interaction and HRI (21 papers), Robotics and Automated Systems (11 papers) and Gaze Tracking and Assistive Technology (7 papers). Hiroyasu Miwa is often cited by papers focused on Social Robot Interaction and HRI (21 papers), Robotics and Automated Systems (11 papers) and Gaze Tracking and Assistive Technology (7 papers). Hiroyasu Miwa collaborates with scholars based in Japan, Italy and Australia. Hiroyasu Miwa's co-authors include Atsuo Takanishi, Hideaki TAKANOBU, Kazuko Itoh, Maria Chiara Carrozza, Paolo Dario, Stefano Roccella, Massimiliano Zecca, Mitsuharu Matsumoto, Toshihiro Matsui and Shinichiro Sasahara and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Affective Disorders.

In The Last Decade

Hiroyasu Miwa

62 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hiroyasu Miwa Japan	17	425	286	200	170	165	67	874
Kazuyoshi Wada Japan	18	565 1.3×	199 0.7×	93 0.5×	145 0.9×	278 1.7×	85	1.2k
Eris Chinellato Spain	16	252 0.6×	258 0.9×	180 0.9×	103 0.6×	119 0.7×	45	754
María Malfáz Spain	16	387 0.9×	177 0.6×	51 0.3×	169 1.0×	360 2.2×	57	795
Takashi Minato Japan	19	870 2.0×	420 1.5×	181 0.9×	229 1.3×	382 2.3×	115	1.4k
Jeff Lieberman United States	13	405 1.0×	225 0.8×	139 0.7×	124 0.7×	214 1.3×	14	933
Olivier Sigaud France	17	119 0.3×	265 0.9×	116 0.6×	81 0.5×	403 2.4×	50	906
Momotaz Begum United States	13	251 0.6×	65 0.2×	30 0.1×	229 1.3×	219 1.3×	54	853
Martin Saerbeck Singapore	10	391 0.9×	192 0.7×	80 0.4×	197 1.2×	240 1.5×	22	758
Luc Berthouze United Kingdom	19	116 0.3×	147 0.5×	145 0.7×	74 0.4×	165 1.0×	80	956
Olov Engwall Sweden	17	133 0.3×	101 0.4×	32 0.2×	158 0.9×	497 3.0×	84	997

Countries citing papers authored by Hiroyasu Miwa

Since Specialization

Citations

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

Fields of papers citing papers by Hiroyasu Miwa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroyasu Miwa

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

All Works

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20 of 20 papers shown

Miwa, Hiroyasu, et al.. (2025). Datasets, Machine Learning Recognition Performance, and Key Issues in Nursing Care Activity Recognition: A Systematic Review. IEEE Access. 13. 47570–47586.

Watanabe, Kentaro, et al.. (2024). Adopting the service system view toward successful implementation of assistive technologies. Geriatrics and gerontology international. 24(S1). 74–80. 1 indexed citations

Ikeuchi, Tomoko, et al.. (2023). Does Smartphone Use Make Older Adults Feel Younger? A Cross-Sectional Online Survey during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 20(3). 1710–1710. 5 indexed citations

Ikeuchi, Tomoko, et al.. (2021). Preferable Use of Information and Communication Technologies in Long-term Care Settings: A Vignette Survey of Japan. Innovation in Aging. 5(Supplement_1). 539–539. 1 indexed citations

Watanabe, Kentaro, et al.. (2021). Proposing Remote Video Conversation System "PARAPPA": Delivering the Gesture and Body Posture with Rotary Screen. 58. 1060–1065. 2 indexed citations

Miwa, Hiroyasu, Kentaro Watanabe, & Marketta Niemelä. (2021). Classification of Care Assistive Technology Based on the Relationship Between Users and Technologies. Journal of Robotics and Mechatronics. 33(4). 858–867.

Endô, Hiroshi, et al.. (2020). Effects of age and gender on swallowing activity assessed by electromyography and laryngeal elevation. Journal of Oral Rehabilitation. 47(11). 1358–1367. 11 indexed citations

Sutoh, Chihiro, Hiroyasu Miwa, Hiroyuki Hamada, et al.. (2018). Gender-specific associations of depression and anxiety symptoms with mental rotation. Journal of Affective Disorders. 235. 277–284. 10 indexed citations

Watanabe, Kentaro, Marketta Niemelä, Hiroyasu Miwa, et al.. (2016). Meaningful technology for seniors: viewpoints for sustainable care service systems. 1 indexed citations

10.

Miwa, Hiroyasu, Kentaro Watanabe, Tomohiro Fukuhara, Masato Nakajima, & Takuichi Nishimura. (2015). Measurement and description of nursing-care service process. SHILAP Revista de lepidopterología. 81(822). 14–207. 1 indexed citations

11.

Itoh, Kazuko, Hiroyasu Miwa, Massimiliano Zecca, et al.. (2006). Behavior generation of humanoid robots depending on mood. 965–972. 4 indexed citations

12.

Itoh, Kazuko, et al.. (2006). Development of face robot to express the individual face by optimizing the facial features. 412–417. 4 indexed citations

13.

Matsubayashi, Tadashi, et al.. (2006). Percutaneous cardiopulmonary support in a child with enterovirus 71 encephalitis. Pediatrics International. 48(3). 327–329. 6 indexed citations

14.

Hayashi, Kenjiro, et al.. (2006). Development and evaluation of face robot to express various face shape. 481–486. 12 indexed citations

15.

Ishii, Hiroyuki, et al.. (2005). Accelerating rat's learning speed using a robot - the robot autonomously shows rats its functions. 229–234. 6 indexed citations

16.

Itoh, Kazuko, Hiroyasu Miwa, Hideaki TAKANOBU, & Atsuo Takanishi. (2005). Application of neural network to humanoid robots—development of co-associative memory model. Neural Networks. 18(5-6). 666–673. 6 indexed citations

17.

Miwa, Hiroyasu, Kazuko Itoh, Daisuke Ito, Hideaki TAKANOBU, & Atsuo Takanishi. (2004). Introduction of the need model for humanoid robots to generate active behavior. 2. 1400–1406. 22 indexed citations

18.

Asaka, Toru, Hiroyasu Miwa, & Yoshiaki Tanaka. (2003). Distributed Web caching using hash-based query caching method. 2. 1620–1625. 5 indexed citations

19.

Aoki, Takashi, et al.. (2002). An animal psychological approach for personal robot design-interaction between a rat and a rat-robot. 1. 365–370. 4 indexed citations

20.

Nishihara, Hirofumi, Hiroyasu Miwa, Masayuki Watanabe, et al.. (1997). Random Amplified Polymorphic DNA (RAPD) Analyses for Discriminating Genotypes ofMicrocystisCyanobacteria. Bioscience Biotechnology and Biochemistry. 61(7). 1067–1072. 35 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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