E. Aiyoshi

527 citations
19 papers · 360 · h-index 8

Impact in

Papers in

E. Aiyoshi

15 papers receiving 338 citations

Peers

E. Aiyoshi
Comparison fields: 5 of 69
  • Numerical Analysis 81
  • Computational Theory and Mathematics 182
  • Control and Systems Engineering 153
  • Management Science and Operations Research 68
  • Statistics, Probability and Uncertainty 27
Replace Qian Yu with:
Qian Yu China
Mark W. Hauschild United States
Alessandro Lazaric Italy
Borhan Kazimipour Australia
Rodica Ioana Lung Romania
Jingda Deng Hong Kong
Farid Nouioua France
Gary Pamparà South Africa
Abdelmonem M. Ibrahim Egypt
E. Aiyoshi relative to Qian Yu China Qian Yu's profile →
Citations per field
00.5×4.5×
Qian Yu · 1×
Citations per year

Countries citing papers authored by E. Aiyoshi

Since Specialization
Citations

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

Fields of papers citing papers by E. Aiyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside E. Aiyoshi, 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 E. Aiyoshi Line = papers co-authored together E. Aiyoshi links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1984101
2 198095
3 198174
4 199936
5 198113
6 198310
7 20039
8 20038
9 20025
10 20023
11
Global optimization method using chaos of discrete inertial gradient dynamics
20032
12 20041
13
Estimation of periodic points in chaos of discrete gradient models for global optimization
20031
14 20051
15 20041
16 20040
17 20040
18 20020
19 20110

About E. Aiyoshi

E. Aiyoshi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Aerospace Engineering, Computer Networks and Communications and Numerical Analysis, having authored 19 papers that have together received 360 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (5 papers), Nuclear reactor physics and engineering (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Advanced Optimization Algorithms Research (3 papers), Chaos control and synchronization (3 papers), Nuclear Materials and Properties (2 papers), Advanced Control Systems Optimization (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Numerical Analysis (81 citations), Computational Theory and Mathematics (182 citations), Control and Systems Engineering (153 citations), Management Science and Operations Research (68 citations) and Statistics, Probability and Uncertainty (27 citations). E. Aiyoshi has collaborated with scholars based in Japan and United States. Frequent co-authors include K. Shimizu, E.L. Keller, Sanjoy Das, K. MASUDA and Yôko Kobayashi. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Optimization Theory and Applications, Neural Networks, IEEJ Transactions on Electronics Information and Systems and American Control Conference.

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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