Kazuo Hiraki

5.7k total citations
150 papers, 3.8k citations indexed

About

Kazuo Hiraki is a scholar working on Cognitive Neuroscience, Social Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Kazuo Hiraki has authored 150 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Cognitive Neuroscience, 48 papers in Social Psychology and 25 papers in Developmental and Educational Psychology. Recurrent topics in Kazuo Hiraki's work include Neural and Behavioral Psychology Studies (23 papers), Action Observation and Synchronization (20 papers) and Child and Animal Learning Development (19 papers). Kazuo Hiraki is often cited by papers focused on Neural and Behavioral Psychology Studies (23 papers), Action Observation and Synchronization (20 papers) and Child and Animal Learning Development (19 papers). Kazuo Hiraki collaborates with scholars based in Japan, United States and Netherlands. Kazuo Hiraki's co-authors include Sotaro Shimada, Yusuke Moriguchi, Goh Matsuda, Hirokata Fukushima, Masahiro Hirai, Kensuke Fukuda, Hiroshi Ishiguro, Takayuki Kanda, Adisack Nhouyvanisvong and Michael S. Ayers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Kazuo Hiraki

138 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazuo Hiraki Japan 30 2.1k 1.2k 778 487 335 150 3.8k
Howard Bowman United Kingdom 28 2.1k 1.0× 270 0.2× 122 0.2× 337 0.7× 425 1.3× 160 3.1k
Dav Clark United States 15 1.3k 0.6× 193 0.2× 180 0.2× 272 0.6× 164 0.5× 20 3.2k
Charles Cresson Wood United States 33 5.8k 2.7× 512 0.4× 954 1.2× 1.3k 2.7× 282 0.8× 107 7.4k
Markus Hofmann Germany 26 1.5k 0.7× 470 0.4× 620 0.8× 773 1.6× 272 0.8× 114 2.8k
Yang Jiang United States 31 2.6k 1.2× 402 0.3× 167 0.2× 522 1.1× 97 0.3× 153 3.7k
Randall Frank United States 7 681 0.3× 263 0.2× 110 0.1× 195 0.4× 45 0.1× 10 1.7k
Saul Sternberg United States 16 5.9k 2.8× 980 0.8× 1.7k 2.2× 2.4k 5.0× 870 2.6× 24 8.6k
Alessandro D’Ausilio Italy 28 2.3k 1.1× 1.6k 1.3× 633 0.8× 858 1.8× 95 0.3× 104 3.2k
Herbert Bauer Austria 26 1.4k 0.7× 265 0.2× 144 0.2× 343 0.7× 43 0.1× 76 2.1k
Robert West United States 29 3.3k 1.5× 418 0.3× 415 0.5× 1.3k 2.7× 281 0.8× 135 4.9k

Countries citing papers authored by Kazuo Hiraki

Since Specialization
Citations

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

Fields of papers citing papers by Kazuo Hiraki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuo Hiraki

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuo Hiraki. A scholar is included among the top collaborators of Kazuo Hiraki 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 Kazuo Hiraki. Kazuo Hiraki 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.
Alimardani, Maryam, et al.. (2023). Social robots as effective language tutors for children: empirical evidence from neuroscience. Frontiers in Neurorobotics. 17. 1260999–1260999. 1 indexed citations
2.
Alimardani, Maryam, et al.. (2023). Mother-child inter-brain synchrony during a mutual visual search task: A study of feedback valence and role. Social Neuroscience. 18(4). 232–244. 4 indexed citations
3.
Gunji, Atsuko, Yuichi Takei, Yuu Kaneko, et al.. (2020). Timing of phase‐amplitude coupling is essential for neuronal and functional maturation of audiovisual integration in adolescents. Brain and Behavior. 10(6). e01635–e01635. 6 indexed citations
4.
Bidet-Ildei, Christel, et al.. (2019). Does watching Han Solo or C-3PO similarly influence our language processing?. Psychological Research. 84(6). 1572–1585. 6 indexed citations
5.
Hiraki, Kazuo, et al.. (2013). Physiological and accident prevention effects of sleep alert systems: Comparative study of eye closure and heart rate based alarms. 1 indexed citations
6.
Matsuda, Goh, et al.. (2013). Visual Effect of "Speed Lines" in Manga : An Experimental Study on Spatial Attention. Cognitive Studies | Études cognitives. 20(1). 79–89. 1 indexed citations
7.
Bidet-Ildei, Christel, et al.. (2013). Observation and action priming in anticipative tasks implying biological movements.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 67(4). 253–259. 1 indexed citations
8.
Matsuda, Goh, et al.. (2012). Visual cognition of "speed lines" in comics: Experimental study on speed perception.. Cognitive Science. 1 indexed citations
9.
Yasumura, Akira, Naomi Kokubo, Yusuke Moriguchi, et al.. (2012). Neurobehavioral and Hemodynamic Evaluation of Cognitive Shifting in Children with Autism Spectrum Disorder. Journal of Behavioral and Brain Science. 2(4). 463–470. 13 indexed citations
10.
Moriguchi, Yusuke & Kazuo Hiraki. (2011). Longitudinaldevelopment of prefrontalfunction during earlychildhood. 79 indexed citations
11.
Sugano, Yusuke, et al.. (2011). Evaluating Conventional Saliency Map Models for Estimating Human Egocentric Visual Attention. IEICE Technical Report; IEICE Tech. Rep.. 110(422). 81–86. 2 indexed citations
13.
Shimada, Sotaro & Kazuo Hiraki. (2005). The effect of temporal consistency between visual and proprioceptive feedbacks on self-body recognition -- *. 105(341). 33–38. 3 indexed citations
14.
Komatsu, Takanori, et al.. (2003). Toward a mutual adaptive interface: An interface induces a user’s adaptation and utilizes this induced adaptation, and vice versa. eScholarship (California Digital Library). 25(25). 3 indexed citations
15.
Komatsu, Takanori, et al.. (2003). An Adaptive Interface System Based on a Speech Meaning Acquisition Model. Transactions of the Institute of Systems Control and Information Engineers. 16(6). 260–269.
16.
Suzuki, Hiroaki, et al.. (2001). Cue-Readiness in Insight Problem-Solving. eScholarship (California Digital Library). 23(23). 10 indexed citations
17.
Imai, Michita, Kazuo Hiraki, & Tsutomu Miyasato. (1999). Physical constraints on human robot interaction. International Joint Conference on Artificial Intelligence. 2. 1124–1130. 7 indexed citations
18.
Yuba, Toshitsugu, Kazuo Hiraki, Takahiro Shimada, Satoshi Sekiguchi, & Kenji Nishida. (1987). The SIGMA-1 dataflow computer. 578–585. 7 indexed citations
19.
Hiraki, Kazuo, Takahiro Shimada, & Keiichiro Nishida. (1986). A hardware design of the SIGMA-1, a data flow computer for scientific computations. IEEE Computer Society Press eBooks. 61–68. 17 indexed citations
20.
Hiraki, Kazuo, et al.. (1969). Fluorometric Determination of Scandium with 5, 7-Dichlorooxine. Nippon kagaku zassi. 90(5). 483–486. 1 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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