Kenichiro Yamamura
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- Numerical Methods and Algorithms 18
- Numerical Analysis top 5%
- Iterative Methods for Nonlinear Equations 7
- Modeling and Simulation top 5%
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- Coronary Artery Anomalies 9
- Tracheal and airway disorders 6
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- Kawasaki Disease and Coronary Complications 15
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- Congenital Heart Disease Studies 13
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- Low-power high-performance VLSI design 12
- VLSI and FPGA Design Techniques 6
- Co-authors
- Toshiro HaraYoshiyuki InoueKazumi HoriuchiYasunari SakaiR. KanekoHazumu NagataYumi MizunoKenji Ihara
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Kenichiro Yamamura
76 papers receiving 788 citations
Peers
Comparison fields: 5 of 92
- Computational Theory and Mathematics 293
- Numerical Analysis 94
- Modeling and Simulation 42
- Pulmonary and Respiratory Medicine 184
- Statistical and Nonlinear Physics 63
Countries citing papers authored by Kenichiro Yamamura
This map shows the geographic impact of Kenichiro Yamamura'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 Kenichiro Yamamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenichiro Yamamura more than expected).
Fields of papers citing papers by Kenichiro Yamamura
This network shows the impact of papers produced by Kenichiro Yamamura. 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 Kenichiro Yamamura. The network helps show where Kenichiro Yamamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenichiro Yamamura, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 0 | |
| 7 | 2021 | 6 | |
| 8 | 2018 | 12 | |
| 9 | 2018 | 3 | |
| 10 | 2017 | 1 | |
| 11 | 2017 | 5 | |
| 12 | 2013 | 6 | |
| 13 | 2012 | 24 | |
| 14 | 2012 | 4 | |
| 15 | 2012 | 2 | |
| 16 | 2012 | 16 | |
| 17 | 2011 | 4 | |
| 18 | 2011 | 1 | |
| 19 | 2009 | 6 | |
| 20 | Exploiting separability in numerical analisis of nonlinear systems | 1992 | 2 |
About Kenichiro Yamamura
Kenichiro Yamamura is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Modeling and Simulation, having authored 84 papers that have together received 805 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (18 papers), Kawasaki Disease and Coronary Complications (15 papers), Congenital Heart Disease Studies (13 papers), Low-power high-performance VLSI design (12 papers), Coronary Artery Anomalies (9 papers), Iterative Methods for Nonlinear Equations (7 papers), Tracheal and airway disorders (6 papers) and VLSI and FPGA Design Techniques (6 papers). The work is most often cited by research in Computational Theory and Mathematics (293 citations), Numerical Analysis (94 citations) and Modeling and Simulation (42 citations). Kenichiro Yamamura has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Toshiro Hara, Yoshiyuki Inoue, Kazumi Horiuchi, Yasunari Sakai, R. Kaneko, Hazumu Nagata, Yumi Mizuno, Kenji Ihara, Kazuyuki Ikeda and Shouichi Ohga. Their work appears in journals such as Circulation, PLoS ONE and European Heart Journal.
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.