Yasutoshi Yajima

577 citations
22 papers · 395 indexed · h-index 9
Topics
Advanced Optimization Algorithms Research (11 papers)Optimization and Variational Analysis (7 papers)Face and Expression Recognition (7 papers)
Partner nations
Japan

In The Last Decade

Yasutoshi Yajima

19 papers receiving 372 citations

Peers

Yasutoshi Yajima
Comparison fields: 5 of 53
  • Numerical Analysis 286
  • Computational Theory and Mathematics 261
  • Control and Systems Engineering 137
  • Artificial Intelligence 53
  • Industrial and Manufacturing Engineering 47
Replace Phan Thiên Thach with:
Phan Thiên Thach Vietnam
Hong-Xuan Huang China
István Maros United Kingdom
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Andreas Löhne Germany
Wenxun Xing China
Laura Martein Italy
Jiayu Zhang China
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Yasutoshi Yajima relative to Phan Thiên Thach Vietnam Phan Thiên Thach's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yasutoshi Yajima

Since Specialization
Citations

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

Fields of papers citing papers by Yasutoshi Yajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasutoshi Yajima

This figure shows the co-authorship network connecting the top 25 collaborators of Yasutoshi Yajima. A scholar is included among the top collaborators of Yasutoshi Yajima 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 Yasutoshi Yajima. Yasutoshi Yajima 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 13
2 1
3 1
4 7
5 11
6 20
7 2
8 3
9
Cuts and SemidefiniteRelaxations for N onconvex Quadratic Problems
1
10 2
11 31
12 5
13 1
14 5
15 65
16 3
17 8
18 52
19 23
20 126

About Yasutoshi Yajima

Yasutoshi Yajima is a scholar working on Numerical Analysis, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 22 papers that have together received 395 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (11 papers), Optimization and Variational Analysis (7 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Numerical Analysis (286 citations), Computational Theory and Mathematics (261 citations) and Control and Systems Engineering (137 citations). Yasutoshi Yajima has collaborated with scholars based in Japan. Frequent co-authors include Hiroshi Konno, Takahito Kuno, Tomomi Matsui, Tetsuya Fujie, Yoshitsugu Yamamoto, Masao Mori, Mikio Kubo, Takao Enkawa, Pãnos M. Pardalos and Motakuri V. Ramana. Their work appears in journals such as European Journal of Operational Research, International Journal of Intelligent Systems and Journal of Global Optimization.

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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