Minoru Asada

11.6k total citations
412 papers, 6.6k citations indexed

About

Minoru Asada is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Minoru Asada has authored 412 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Artificial Intelligence, 131 papers in Computer Vision and Pattern Recognition and 117 papers in Cognitive Neuroscience. Recurrent topics in Minoru Asada's work include Reinforcement Learning in Robotics (84 papers), Advanced Vision and Imaging (60 papers) and Robot Manipulation and Learning (58 papers). Minoru Asada is often cited by papers focused on Reinforcement Learning in Robotics (84 papers), Advanced Vision and Imaging (60 papers) and Robot Manipulation and Learning (58 papers). Minoru Asada collaborates with scholars based in Japan, United States and Germany. Minoru Asada's co-authors include Koh Hosoda, Hiroaki Kitano, Yasuo Kuniyoshi, Itsuki Noda, Yukie Nagai, Yuichiro Yoshikawa, Hiroshi Ishiguro, Eiichi Osawa, Yasutake Takahashi and Eiji Uchibe and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Minoru Asada

381 papers receiving 6.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minoru Asada Japan 36 2.2k 1.8k 1.6k 1.5k 1.2k 412 6.6k
Yasuo Kuniyoshi Japan 37 1.5k 0.7× 1.4k 0.8× 1.4k 0.8× 2.3k 1.5× 727 0.6× 318 6.8k
Lorenzo Natale Italy 33 1.0k 0.5× 954 0.5× 1.8k 1.1× 2.1k 1.4× 948 0.8× 175 5.2k
Rolf Pfeifer Switzerland 40 2.2k 1.0× 718 0.4× 2.2k 1.3× 1.5k 1.0× 821 0.7× 161 7.9k
Giulio Sandini Italy 52 1.4k 0.6× 2.3k 1.3× 5.1k 3.1× 2.4k 1.6× 2.0k 1.6× 376 11.2k
Yiannis Demiris United Kingdom 34 1.2k 0.6× 1.3k 0.7× 908 0.6× 1.4k 0.9× 1.2k 0.9× 235 4.3k
Angelo Cangelosi United Kingdom 38 1.9k 0.9× 896 0.5× 1.5k 0.9× 868 0.6× 1.6k 1.3× 300 5.7k
Emanuel Todorov United States 37 2.1k 1.0× 1.2k 0.7× 4.9k 3.0× 3.1k 2.0× 1.4k 1.1× 88 10.3k
Giorgio Metta Italy 48 1.8k 0.8× 1.6k 0.9× 4.2k 2.6× 3.5k 2.3× 1.9k 1.6× 259 10.4k
Helge Ritter Germany 41 2.1k 0.9× 2.0k 1.1× 2.5k 1.5× 1.7k 1.1× 256 0.2× 356 6.9k
Stefan Schaal United States 38 1.9k 0.9× 1.9k 1.0× 1.8k 1.1× 4.7k 3.1× 841 0.7× 91 8.1k

Countries citing papers authored by Minoru Asada

Since Specialization
Citations

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

Fields of papers citing papers by Minoru Asada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minoru Asada

This figure shows the co-authorship network connecting the top 25 collaborators of Minoru Asada. A scholar is included among the top collaborators of Minoru Asada 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 Minoru Asada. Minoru Asada 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.
Kawai, Yuji, Takashi Morita, Jihoon Park, & Minoru Asada. (2025). Oscillations enhance time-series prediction in reservoir computing with feedback. Neurocomputing. 648. 130728–130728. 1 indexed citations
2.
Kawai, Yuji, et al.. (2022). Compensated Integrated Gradients for Reliable Explanation of Electroencephalogram Signal Classification. Brain Sciences. 12(7). 849–849. 6 indexed citations
3.
Morita, Tomoyo, Minoru Asada, & Eiichi Naito. (2021). Examination of the development and aging of brain deactivation using a unimanual motor task. Advanced Robotics. 35(13-14). 842–857. 10 indexed citations
4.
Park, Jihoon, et al.. (2019). Macroscopic Cluster Organizations Change the Complexity of Neural Activity. Entropy. 21(2). 214–214. 11 indexed citations
5.
Amemiya, Kaoru, Tomoyo Morita, Daisuke N. Saito, et al.. (2019). Local-to-distant development of the cerebrocerebellar sensorimotor network in the typically developing human brain: a functional and diffusion MRI study. Brain Structure and Function. 224(3). 1359–1375. 10 indexed citations
6.
Morita, Tomoyo, Minoru Asada, & Eiichi Naito. (2019). Developmental Changes in Task‐Induced Brain Deactivation in Humans Revealed by a Motor Task. Developmental Neurobiology. 79(6). 536–558. 12 indexed citations
7.
Ota, Nobuyuki, Hisashi Ishihara, & Minoru Asada. (2015). 1A1-S07 Cluster analysis of complex and various skin flow fields around human lips for enriching robot facial expressions. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2015(0). _1A1–S07_1. 1 indexed citations
8.
Boedecker, Joschka, et al.. (2011). Between frustration and elation: sense of control regulates the lntrinsic motivation for motor learning. National Conference on Artificial Intelligence. 10–15. 3 indexed citations
9.
Watanabe, Ayako, et al.. (2007). 1A2-O07 Acquiring the early communication based on the reward prediction model. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2007(0). _1A2–O07_1.
10.
Yamashita, Koji, et al.. (2007). Experimental Verification of Real-time Oscillatory Stability Assessment using CRIEPI's Power System Simulator : Prototype development of oscillatory stability assessment system and verification of its fundamental performance. 2007(89). 31–35. 1 indexed citations
11.
Mayer, M., Minoru Asada, Rodrigo da Silva Guerra, & Masaki Ogino. (2005). 1P2-S-045 Stabilizing a biped robot by using a symmetric rotor(Biped Robot 3,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2005(0). 128–128. 2 indexed citations
12.
Yoshikawa, Yuichiro, Koh Hosoda, & Minoru Asada. (2004). Binding tactile and visual sensations via unique association by cross-anchoring between double-touching and self-occlusion. CogPrints (University of Southampton). 5 indexed citations
13.
Yoshikawa, Yoshiaki, et al.. (2003). A constructivist approach to infants' vowel acquisition through mother–infant interaction. Connection Science. 15(4). 245–258. 49 indexed citations
14.
Hosoda, Koh, Yukie Nagai, & Minoru Asada. (2003). Bootstrap for Emergence of Joint Attention. 103(392). 25–30. 1 indexed citations
15.
Yoshikawa, Yuichiro, et al.. (2002). Body Scheme Acquisition by Cross Modal Map Learning among Tactile, Visual, and Proprioceptive Spaces. CogPrints (University of Southampton). 14 indexed citations
16.
Coradeschi, Silvia, Lars Karlsson, Peter Stone, et al.. (2000). Overview of RoboCup-99. AI Magazine. 21(3). 11–18. 8 indexed citations
17.
Asada, Minoru. (1997). Research Issues on Real Robot Reinforcement Learning. 12(6). 831–836. 1 indexed citations
18.
Asada, Minoru. (1987). Determining cylindrical shape from contour and shading. International Joint Conference on Artificial Intelligence. 797–800. 1 indexed citations
19.
Xu, Gang, Saburo Tsuji, & Minoru Asada. (1985). Coarse-to-fine control strategy for matching motion stereo pairs. International Joint Conference on Artificial Intelligence. 892–894. 10 indexed citations
20.
Asada, Minoru & Saburo Tsuji. (1983). Inferring motion of cylindrical object from shape information. International Joint Conference on Artificial Intelligence. 1032–1034. 2 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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