Jun Tani
Impact in
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- Embodied and Extended Cognition
- Motor Control and Adaptation
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- Robot Manipulation and Learning
Papers in
-
- Neural dynamics and brain function 56
- Embodied and Extended Cognition 21
- Motor Control and Adaptation 18
- EEG and Brain-Computer Interfaces 16
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- Neural Networks and Applications 58
- Reinforcement Learning in Robotics 32
- Co-authors
- Yuichi Yamashita (17 shared papers)Masato Ito (10 shared papers)Yuuya Sugita (10 shared papers)Tetsuya Ogata (41 shared papers)Masato Ito (1 shared paper)Rainer W. Paine (5 shared papers)Hiroshi G. Okuno (24 shared papers)Hiroaki Arie (20 shared papers)
- Journals
- Neural Networks (20 papers)Adaptive Behavior (8 papers)Advanced Robotics (6 papers)PLoS Computational Biology (3 papers)Biological Cybernetics (2 papers)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Jun Tani
175 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 110
- Cognitive Neuroscience 1.5k
- Control and Systems Engineering 1.1k
- Social Psychology 951
- Artificial Intelligence 1.6k
- Computer Vision and Pattern Recognition 650
Countries citing papers authored by Jun Tani
This map shows the geographic impact of Jun Tani'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 Tani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tani more than expected).
Fields of papers citing papers by Jun Tani
This network shows the impact of papers produced by Jun Tani. 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 Tani. The network helps show where Jun Tani may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Tani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 355 | |
| 2 | 1996 | 265 | |
| 3 | 2003 | 164 | |
| 4 | 2004 | 161 | |
| 5 | 2005 | 134 | |
| 6 | 2003 | 122 | |
| 7 | 2010 | 119 | |
| 8 | 2006 | 101 | |
| 9 | 2017 | 90 | |
| 10 | 2004 | 85 | |
| 11 | 2005 | 81 | |
| 12 | 2016 | 75 | |
| 13 | An Interpretation of the "Self" From the Dynamical Systems Perspective: A Constructivist Approach | 1998 | 63 |
| 14 | 1999 | 53 | |
| 15 | 2013 | 52 | |
| 16 | 2004 | 51 | |
| 17 | 1994 | 51 | |
| 18 | 2007 | 51 | |
| 19 | 2012 | 39 | |
| 20 | 2015 | 38 |
About Jun Tani
Jun Tani is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Control and Systems Engineering, Social Psychology and Computer Vision and Pattern Recognition, having authored 186 papers that have together received 3.6k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (62 papers), Neural Networks and Applications (58 papers), Neural dynamics and brain function (56 papers), Action Observation and Synchronization (46 papers), Reinforcement Learning in Robotics (32 papers), Embodied and Extended Cognition (21 papers), Motor Control and Adaptation (18 papers) and EEG and Brain-Computer Interfaces (16 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Control and Systems Engineering (1.1k citations), Social Psychology (951 citations), Artificial Intelligence (1.6k citations) and Computer Vision and Pattern Recognition (650 citations). Jun Tani has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Yuichi Yamashita, Masato Ito, Yuuya Sugita, Tetsuya Ogata, Masato Ito, Rainer W. Paine, Hiroshi G. Okuno, Hiroaki Arie, Shigeki Sugano and Stefano Nolfi. Their work appears in journals such as Neural Networks, Adaptive Behavior, Advanced Robotics, PLoS Computational Biology and Biological Cybernetics.
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.