Toru Machida
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- EEG and Brain-Computer Interfaces
- Rehabilitation top 10%
Papers in
-
- Functional Brain Connectivity Studies 5
- Neural dynamics and brain function 4
- Face Recognition and Perception 3
- Memory and Neural Mechanisms 3
-
- Stroke Rehabilitation and Recovery 2
- Co-authors
- Ichiro ShirouzuSeiki KonishiYasushi MiyashitaSatoshi HiroseY. ImaiTakamitsu WatanabeKuni OhtomoTomoyuki Okuaki
- Journals
- NeuroImage (3 papers)Journal of Nuclear Cardiology (2 papers)Investigative Radiology (1 paper)Neuroradiology (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- JapanGermanyUnited Kingdom
In The Last Decade
Toru Machida
18 papers receiving 683 citations
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 318
- Rehabilitation 49
- Behavioral Neuroscience 25
- Radiology, Nuclear Medicine and Imaging 134
- Rheumatology 80
Countries citing papers authored by Toru Machida
This map shows the geographic impact of Toru Machida'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 Toru Machida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Machida more than expected).
Fields of papers citing papers by Toru Machida
This network shows the impact of papers produced by Toru Machida. 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 Toru Machida. The network helps show where Toru Machida may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Toru Machida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2020 | 17 | |
| 3 | 2020 | 2 | |
| 4 | 2016 | 6 | |
| 5 | 2016 | 1 | |
| 6 | 2016 | 35 | |
| 7 | 2014 | 60 | |
| 8 | 2014 | 0 | |
| 9 | 2013 | 116 | |
| 10 | 2012 | 84 | |
| 11 | 2011 | 33 | |
| 12 | 2010 | 24 | |
| 13 | 2009 | 9 | |
| 14 | 2006 | 85 | |
| 15 | 2005 | 92 | |
| 16 | 2004 | 18 | |
| 17 | 2003 | 0 | |
| 18 | 2003 | 51 | |
| 19 | 2000 | 5 | |
| 20 | 2000 | 1 |
About Toru Machida
Toru Machida is a scholar working on Cognitive Neuroscience, Rehabilitation, Developmental Neuroscience, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 21 papers that have together received 701 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Neural dynamics and brain function (4 papers), Medical Imaging Techniques and Applications (4 papers), Face Recognition and Perception (3 papers), Advanced MRI Techniques and Applications (3 papers), Memory and Neural Mechanisms (3 papers), Stroke Rehabilitation and Recovery (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cognitive Neuroscience (318 citations), Rehabilitation (49 citations), Behavioral Neuroscience (25 citations), Radiology, Nuclear Medicine and Imaging (134 citations) and Rheumatology (80 citations). Toru Machida has collaborated with scholars based in Japan, Germany and United Kingdom. Frequent co-authors include Ichiro Shirouzu, Seiki Konishi, Yasushi Miyashita, Satoshi Hirose, Y. Imai, Takamitsu Watanabe, Kuni Ohtomo, Tomoyuki Okuaki, Naoki Masuda and Masaki Katsura. Their work appears in journals such as NeuroImage, Journal of Nuclear Cardiology, Investigative Radiology, Neuroradiology and International Journal of Radiation Oncology*Biology*Physics.
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.