Jun Morimoto

9.6k citations

338 papers · 7.2k · 1 hit paper · h-index 41

Impact in

Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning
Rehabilitation top 0.5%
- Stroke Rehabilitation and Recovery

Papers in

Biomedical Engineering 144
- Prosthetics and Rehabilitation Robotics 71
- Robotic Locomotion and Control 61
- Muscle activation and electromyography studies 56
Control and Systems Engineering 63
- Robot Manipulation and Learning 48

Co-authors: Takamitsu Matsubara (39 shared papers)Gordon Cheng (22 shared papers)Aleš Ude (21 shared papers)Tomoyuki Noda (45 shared papers)Gen Endo (14 shared papers)Sang-Ho Hyon (32 shared papers)Jun Nakanishi (17 shared papers)Kenji Doya (13 shared papers)
Journals: Japanese Journal of Applied Physics (56 papers)Neural Networks (12 papers)IEEE Robotics and Automation Letters (10 papers)Advanced Robotics (6 papers)Robotics and Autonomous Systems (6 papers)
Partner nations: Japan United States India

In The Last Decade

Jun Morimoto

321 papers receiving 6.9k citations

Jun Morimoto's Hit Papers

align trajectories log scale

Deep learning, reinforcement learning, and world models 2022 · 332 citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2022 Neural Networks

Peers

Countries citing papers authored by Jun Morimoto

Since Specialization

Citations

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

Fields of papers citing papers by Jun Morimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Morimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Morimoto Line = papers co-authored together Jun Morimoto links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 338 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Deep learning, reinforcement learning, and world models Neural Networks ·Yutaka Matsuo, Yann LeCun, Maneesh Sahani, Doina Precup, David Lawrence Silver, Masashi Sugiyama, Eiji Uchibe, Jun Morimoto Hit paper breakdown →	2022	332
2	Learning from demonstration and adaptation of biped locomotion Robotics and Autonomous Systems ·Jun Nakanishi, Jun Morimoto, Gen Endo, Gordon Cheng, Stefan Schaal, Mitsuo Kawato	2004	330
3	Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives IEEE Transactions on Robotics ·Aleš Ude, Andrej Gams, Tamim Asfour, Jun Morimoto	2010	311
4	A small number of abnormal brain connections predicts adult autism spectrum disorder Nature Communications ·Noriaki Yahata, Jun Morimoto, Ryuichiro Hashimoto, Giuseppe Lisi, Kazuhisa Shibata, Yuki Kawakubo, Hitoshi Kuwabara, Miho Kuroda	2016	234
5	CB: a humanoid research platform for exploring neuroscience Advanced Robotics ·Gordon Cheng, Sang-Ho Hyon, Jun Morimoto, Aleš Ude, Joshua G. Hale, G.E. Colvin, Wayco Scroggin, Stephen C. Jacobsen	2007	186
6	Learning CPG-based Biped Locomotion with a Policy Gradient Method: Application to a Humanoid Robot The International Journal of Robotics Research ·Gen Endo, Jun Morimoto, Takamitsu Matsubara, Jun Nakanishi, Gordon Cheng	2008	170
7	Orientation in Cartesian space dynamic movement primitives Aleš Ude, Bojan Nemec, Tadej Petrič, Jun Morimoto	2014	163
8	Bilinear Modeling of EMG Signals to Extract User-Independent Features for Multiuser Myoelectric Interface IEEE Transactions on Biomedical Engineering ·Takamitsu Matsubara, Jun Morimoto	2013	149
9	Robust Reinforcement Learning Neural Computation ·Jun Morimoto, Kenji Doya	2005	143
10	Adaptive Control of Exoskeleton Robots for Periodic Assistive Behaviours Based on EMG Feedback Minimisation PLoS ONE ·Luka Peternel, Tomoyuki Noda, Tadej Petrič, Aleš Ude, Jun Morimoto, Ján Babic	2016	139
11	Anti-high mobility group box 1 antibody exerts neuroprotection in a rat model of Parkinson's disease Experimental Neurology ·Tatsuya Sasaki, Keyue Liu, Takashi Agari, Takao Yasuhara, Jun Morimoto, Mihoko Okazaki, Hayato Takeuchi, Atsuhiko Toyoshima	2015	123
12	Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias PLoS Biology ·Ayumu Yamashita, Noriaki Yahata, Takashi Itahashi, Giuseppe Lisi, Naho Ichikawa, Masahiro Takamura, Yujiro Yoshihara, Akira Kunimatsu	2019	123
13	EMG-Based Model Predictive Control for Physical Human–Robot Interaction: Application for Assist-As-Needed Control IEEE Robotics and Automation Letters ·Tatsuya Teramae, Tomoyuki Noda, Jun Morimoto	2017	119
14	Experimental Studies of a Neural Oscillator for Biped Locomotion with QRIO mediaTUM (Technical University of Munich) ·Gen Endo, Jun Nakanishi, Jun Morimoto, Gordon Cheng	2006	109
15	Minimax differential dynamic programming: application to a biped walking robot Jun Morimoto, Garth J. Zeglin, Christopher G. Atkeson	2003	97
16	Intra-Arterial Transplantation of Allogeneic Mesenchymal Stem Cells Mounts Neuroprotective Effects in a Transient Ischemic Stroke Model in Rats: Analyses of Therapeutic Time Window and Its Mechanisms PLoS ONE ·Atsuhiko Toyoshima, Takao Yasuhara, Masahiro Kameda, Jun Morimoto, Hayato Takeuchi, Feifei Wang, Tatsuya Sasaki, Susumu Sasada	2015	96
17	A Biologically Inspired Biped Locomotion Strategy for Humanoid Robots: Modulation of Sinusoidal Patterns by a Coupled Oscillator Model IEEE Transactions on Robotics ·Jun Morimoto, Gen Endo, Jun Nakanishi, Gordon Cheng	2008	94
18	An empirical exploration of a neural oscillator for biped locomotion control Institutional Repositories DataBase (IRDB) ·Gen Endo, Jun Morimoto, Jun Nakanishi, Gordon Cheng	2004	92
19	Learning parametric dynamic movement primitives from multiple demonstrations Neural Networks ·Takamitsu Matsubara, Sang-Ho Hyon, Jun Morimoto	2011	90
20	On-line motion synthesis and adaptation using a trajectory database Robotics and Autonomous Systems ·Denis Forte, Andrej Gams, Jun Morimoto, Aleš Ude	2012	87

About Jun Morimoto

Jun Morimoto is a scholar working on Biomedical Engineering, Control and Systems Engineering, Cognitive Neuroscience, Rehabilitation and Electrical and Electronic Engineering, having authored 338 papers that have together received 7.2k indexed citations. Recurring topics across this work include Prosthetics and Rehabilitation Robotics (71 papers), Robotic Locomotion and Control (61 papers), Muscle activation and electromyography studies (56 papers), Robot Manipulation and Learning (48 papers), Reinforcement Learning in Robotics (36 papers), Stroke Rehabilitation and Recovery (27 papers), Thermography and Photoacoustic Techniques (24 papers) and EEG and Brain-Computer Interfaces (24 papers). The work is most often cited by research in Control and Systems Engineering (2.1k citations), Rehabilitation (514 citations), Biomedical Engineering (3.1k citations), Cognitive Neuroscience (1.2k citations) and Artificial Intelligence (1.2k citations). Jun Morimoto has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Takamitsu Matsubara, Gordon Cheng, Aleš Ude, Tomoyuki Noda, Gen Endo, Sang-Ho Hyon, Jun Nakanishi, Kenji Doya, Christopher G. Atkeson and Tatsuya Teramae. Their work appears in journals such as Japanese Journal of Applied Physics, Neural Networks, IEEE Robotics and Automation Letters, Advanced Robotics and Robotics and Autonomous Systems.

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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Jun Morimoto

Jun Morimoto's Hit Papers

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Fields of papers citing papers by Jun Morimoto

All Works

About Jun Morimoto

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