Toshiyuki Imamura

948 citations
62 papers · 431 indexed · h-index 11
Topics
Parallel Computing and Optimization Techniques (20 papers)Matrix Theory and Algorithms (13 papers)Distributed and Parallel Computing Systems (8 papers)
Journals
SHILAP Revista de lepidopterologíaGeophysical Research LettersHuman Reproduction
Partner nations
JapanUnited StatesFrance

In The Last Decade

Toshiyuki Imamura

55 papers receiving 419 citations

Peers

Toshiyuki Imamura
Comparison fields: 5 of 87
  • Hardware and Architecture 91
  • Atmospheric Science 83
  • Computational Theory and Mathematics 82
  • Computer Networks and Communications 78
  • Global and Planetary Change 71
Replace David Medina with:
David Medina United States
Michael Resch Germany
Daniel Sunderland United States
Jinzhe Yang China
Valentin Churavy United States
Miwako Tsuji Japan
Eike H. Müller United Kingdom
Yukio Endo Japan
William Spotz United States
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Toshiyuki Imamura relative to David Medina United States David Medina's profile →
Citations per field
00.5×3.7×
David Medina · 1×
Citations per year

Countries citing papers authored by Toshiyuki Imamura

Since Specialization
Citations

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

Fields of papers citing papers by Toshiyuki Imamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiyuki Imamura

This figure shows the co-authorship network connecting the top 25 collaborators of Toshiyuki Imamura. A scholar is included among the top collaborators of Toshiyuki Imamura 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 Toshiyuki Imamura. Toshiyuki Imamura 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 2
4 4
5 1
6 1
7 0
8 15
9 6
10 7
11 5
12 22
13 2
14 10
15 45
16 17
17 7
18 5
19 3
20
[ARDS: circulatory factors and their evaluation].
2

About Toshiyuki Imamura

Toshiyuki Imamura is a scholar working on Hardware and Architecture, Computational Mathematics and Computational Theory and Mathematics, having authored 62 papers that have together received 431 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (20 papers), Matrix Theory and Algorithms (13 papers) and Distributed and Parallel Computing Systems (8 papers). The work is most often cited by research in Hardware and Architecture (91 citations), Computational Mathematics (5 citations) and Computational Theory and Mathematics (82 citations). Toshiyuki Imamura has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Takemasa Miyoshi, Masahiko Machida, Keiichi Kondo, Susumu Yamada, Yasuhiro Idomura, Yuji Sugita, S. Yamada, Tetsuya Ishimaru, Keigo Nitadori and Akira Fujishita. Their work appears in journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Human Reproduction.

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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