M. Koishi
- Mechanics of Materials top 5%
- Mechanical Engineering top 10%
- Civil and Structural Engineering top 5%
- Biomedical Engineering
- Materials Chemistry
- Topics
- Mechanical Engineering and Vibrations Research (7 papers)Numerical methods in engineering (6 papers)Elasticity and Material Modeling (4 papers)
- Journals
- Computer Methods in Applied Mechanics and EngineeringInternational Journal for Numerical Methods in EngineeringComputational Mechanics
- Partner nations
- JapanUnited States
In The Last Decade
M. Koishi
18 papers receiving 534 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Mechanics of Materials 323
- Mechanical Engineering 202
- Civil and Structural Engineering 173
- Biomedical Engineering 114
- Materials Chemistry 97
Countries citing papers authored by M. Koishi
This map shows the geographic impact of M. Koishi'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 M. Koishi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Koishi more than expected).
Fields of papers citing papers by M. Koishi
This network shows the impact of papers produced by M. Koishi. 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 M. Koishi. The network helps show where M. Koishi may publish in the future.
Co-authorship network of co-authors of M. Koishi
This figure shows the co-authorship network connecting the top 25 collaborators of M. Koishi. A scholar is included among the top collaborators of M. Koishi 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 M. Koishi. M. Koishi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 10 | |
| 3 | A deep material network for multiscale topology learning and accelerated nonlinear modeling of heterogeneous materialsbreakdown → | 234 |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 44 | |
| 7 | 7 | |
| 8 | 23 | |
| 9 | 34 | |
| 10 | 9 | |
| 11 | 19 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 32 | |
| 16 | 54 | |
| 17 | 33 | |
| 18 | 7 |
About M. Koishi
M. Koishi is a scholar working on Mechanics of Materials, Computational Mechanics and Civil and Structural Engineering, having authored 18 papers that have together received 588 indexed citations. Recurring topics across this work include Mechanical Engineering and Vibrations Research (7 papers), Numerical methods in engineering (6 papers) and Elasticity and Material Modeling (4 papers). The work is most often cited by research in Mechanics of Materials (323 citations), Civil and Structural Engineering (173 citations) and Automotive Engineering (88 citations). M. Koishi has collaborated with scholars based in Japan and United States. Frequent co-authors include Zeliang Liu, Cheng Wu, C.T. Wu, Wei Hu, M. Shiratori, Sanjay Govindjee, Junichiro Yamabe, Yuji Kodama, Youcai Wu and Takashi Kojima. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and Computational Mechanics.
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.