Atsushi Matsubara
- Mechanical Engineering top 1%
- Biomedical Engineering top 5%
- Computational Mechanics top 2%
- Industrial and Manufacturing Engineering top 1%
- Control and Systems Engineering top 5%
- Co-authors
- Soichi IbarakiDaisuke KonoIwao YAMAJITetsuya MatsushitaYoshiaki KAKINOCefu HongMohammad UddinKotaro Mori
- Topics
- Advanced machining processes and optimization (93 papers)Advanced Measurement and Metrology Techniques (66 papers)Advanced Surface Polishing Techniques (51 papers)
- Journals
- Physical Review LettersPhysical review. B, Condensed matterThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Atsushi Matsubara
190 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 140
- Mechanical Engineering 1.7k
- Biomedical Engineering 644
- Computational Mechanics 479
- Industrial and Manufacturing Engineering 450
- Control and Systems Engineering 331
Countries citing papers authored by Atsushi Matsubara
This map shows the geographic impact of Atsushi Matsubara'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 Atsushi Matsubara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Matsubara more than expected).
Fields of papers citing papers by Atsushi Matsubara
This network shows the impact of papers produced by Atsushi Matsubara. 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 Atsushi Matsubara. The network helps show where Atsushi Matsubara may publish in the future.
Co-authorship network of co-authors of Atsushi Matsubara
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Matsubara. A scholar is included among the top collaborators of Atsushi Matsubara 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 Atsushi Matsubara. Atsushi Matsubara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 18 | |
| 5 | Measurement of Spindle Stiffness for the Development of Intelligent Spindle | 1 |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 28 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | High Speed and High Acceleration Feed Drive System for NC Machine Tools | 9 |
About Atsushi Matsubara
Atsushi Matsubara is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 223 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (93 papers), Advanced Measurement and Metrology Techniques (66 papers) and Advanced Surface Polishing Techniques (51 papers). The work is most often cited by research in Mechanical Engineering (1.7k citations), Industrial and Manufacturing Engineering (450 citations) and Computational Mechanics (479 citations). Atsushi Matsubara has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Soichi Ibaraki, Daisuke Kono, Iwao YAMAJI, Tetsuya Matsushita, Yoshiaki KAKINO, Cefu Hong, Mohammad Uddin, Kotaro Mori, Masahiro Sawada and Yusuke Koike. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and The Journal of Clinical Endocrinology & Metabolism.
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.