Ken Hayami

38 papers receiving 498 citations

Peers

Ken Hayami
Comparison fields: 5 of 64
  • Numerical Analysis 149
  • Computational Mathematics 10
  • Modeling and Simulation 63
  • Computational Theory and Mathematics 187
  • Computational Mechanics 149
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Tobias von Petersdorff United States
Fabio Di Benedetto Italy
Giorgio Pini Italy
Jennifer Pestana United Kingdom
Winfried Auzinger Austria
Dirk Laurie South Africa
Gunhild Lindskog Sweden
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Citations per year

Countries citing papers authored by Ken Hayami

Since Specialization
Citations

This map shows the geographic impact of Ken Hayami'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 Ken Hayami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Hayami more than expected).

Fields of papers citing papers by Ken Hayami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Hayami. 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 Ken Hayami. The network helps show where Ken Hayami may publish in the future.

Co-authors

The 23 scholars most cited alongside Ken Hayami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ken Hayami Line = papers co-authored together Ken Hayami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199466
2 200053
3 200546
4 201035
5 201629
6 201628
7 199224
8 201420
9 201320
10 201018
11 202017
12 201517
13 199413
14 202113
15 200312
16 200011
17 201610
18
Implementation of interior-point methods for LP based on Krylov subspace iterative solvers with inner-iteration preconditioning
201910
19 201310
20 20099

About Ken Hayami

Ken Hayami is a scholar working on Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Computational Mechanics, Numerical Analysis and Mechanics of Materials, having authored 39 papers that have together received 552 indexed citations. Recurring topics across this work include Electromagnetic Scattering and Analysis (20 papers), Matrix Theory and Algorithms (19 papers), Numerical methods in engineering (8 papers), Advanced Optimization Algorithms Research (8 papers), Advanced Numerical Methods in Computational Mathematics (8 papers), Sparse and Compressive Sensing Techniques (6 papers), Iterative Methods for Nonlinear Equations (5 papers) and Electromagnetic Simulation and Numerical Methods (5 papers). The work is most often cited by research in Numerical Analysis (149 citations), Computational Mathematics (10 citations), Modeling and Simulation (63 citations), Computational Theory and Mathematics (187 citations) and Computational Mechanics (149 citations). Ken Hayami has collaborated with scholars based in Japan, China and Canada. Frequent co-authors include Jun-Feng Yin, Ning Zheng, Jiong Wang, Kōkichi Sugihara, Yasunori Aoki, Takumi Washio, Masaaki Sugihara, Lothar Reichel, Akihiko Konagaya and Hans De Sterck. Their work appears in journals such as Journal of Computational and Applied Mathematics, SIAM Journal on Matrix Analysis and Applications, SIAM Journal on Scientific Computing, Japan Journal of Industrial and Applied Mathematics and Numerical Linear Algebra with Applications.

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.

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