Mikiko Sato

1.3k citations
53 papers · 985 indexed · 1 hit paper · h-index 11
Topics
Metaheuristic Optimization Algorithms Research (13 papers)Evolutionary Algorithms and Applications (12 papers)Parallel Computing and Optimization Techniques (11 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Mikiko Sato

41 papers receiving 936 citations

Hit Papers

A High-Density Rice Genetic Linkage Map with 2275 Markers...19982026200720161998200400600

Peers

Mikiko Sato
Comparison fields: 5 of 104
  • Plant Science 583
  • Genetics 397
  • Molecular Biology 319
  • Oncology 64
  • Food Science 63
Replace Jane M. Landolin with:
Jane M. Landolin United States
Binay Panda India
Weiwen Chen China
Feng‐Chi Chen Taiwan
Niko Välimäki Finland
Yongtao Yu China
Yue Yuan China
Cheng Shen China
Jiyeon Kweon South Korea
Mikiko Sato relative to Jane M. Landolin United States Jane M. Landolin's profile →
Citations per field
00.5×5.8×
Jane M. Landolin · 1×
Citations per year

Countries citing papers authored by Mikiko Sato

Since Specialization
Citations

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

Fields of papers citing papers by Mikiko Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikiko Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Mikiko Sato. A scholar is included among the top collaborators of Mikiko Sato 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 Mikiko Sato. Mikiko Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 3
5 0
6 13
7 0
8 27
9 6
10 0
11 37
12
Towards Reconfigurable Cache Memory for a Multithreaded Processor.
1
13
A New Model of Reconfigurable Cache for an SMT Processor and its FPGA Implementation
1
14
Development of a Thread Scheduler for SMT Processor Architecture
0
15 1
16 7
17
Implementation and Evaluation of a Thread Library for Multithreaded Architecture.
4
18 47
19 53
20
Testicular development and fertility of mice treated prenatally with AP nitroso-N-ethylurea at various gestational stages : Poster Sessions
1

About Mikiko Sato

Mikiko Sato is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications, having authored 53 papers that have together received 985 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (13 papers), Evolutionary Algorithms and Applications (12 papers) and Parallel Computing and Optimization Techniques (11 papers). The work is most often cited by research in Plant Science (583 citations), Genetics (397 citations) and Molecular Biology (319 citations). Mikiko Sato has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masahiro Yano, S. Y. Lin, Arnold Parco, Ayahiko Shomura, Ning Huang, Yoshiaki Nagamura, G. S. Khush, Hiromi Kajiya‐Kanegae, Yoshiaki Harushima and Tomotoshi Shimano. Their work appears in journals such as Genetics, Chemical Engineering Journal and Frontiers in Microbiology.

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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