Satoshi Nishimura

1.2k citations
97 papers · 863 indexed · h-index 16
Topics
Advanced Adaptive Filtering Techniques (23 papers)Image and Signal Denoising Methods (10 papers)Structural Health Monitoring Techniques (9 papers)

In The Last Decade

Satoshi Nishimura

86 papers receiving 813 citations

Peers

Satoshi Nishimura
Comparison fields: 5 of 123
  • Molecular Biology 273
  • Computational Mechanics 129
  • Plant Science 121
  • Signal Processing 118
  • Oncology 99
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Citations per field
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Citations per year

Countries citing papers authored by Satoshi Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Nishimura

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Nishimura. A scholar is included among the top collaborators of Satoshi Nishimura 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 Satoshi Nishimura. Satoshi Nishimura 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 15
3
Knowledge Explication: Current Situation and Future Prospects.
0
4 3
5 8
6
Development of a P2P Live Streaming System and its Performance Evaluation through Live Streaming Trials in 2012 London Olympics
0
7 1
8
1
9 79
10
Language, Violence, and Irrevocability: Speech Acts in "Tess of the D 'Urbervilles."
2
11 1
12 36
13 7
14 9
15 2
16
PMML: A Music Description Language Supporting Algorithmic Representation of Musical Expression
0
17 60
18
[Establishment of a new scirrhous gastric cancer cell line OCUM-2M from a primary gastric tumor].
2
19 50
20
A convenient method of tissue culture by plastic tissue support and teflon membrane in adventitious bud culture of tomato
3

About Satoshi Nishimura

Satoshi Nishimura is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 97 papers that have together received 863 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (23 papers), Image and Signal Denoising Methods (10 papers) and Structural Health Monitoring Techniques (9 papers). The work is most often cited by research in Signal Processing (118 citations), Immunology and Allergy (52 citations) and Computational Mechanics (129 citations). Satoshi Nishimura has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Katsuya Hirano, Sushmita Mitra, Masakazu Yashiro, Mineo Yamazaki, Emi Okuyama, K H Chung, Tetsuji Sawada, Toru Inoue, Michio Sowa and Kiyoshi Maeda. Their work appears in journals such as Gut, Biochemical and Biophysical Research Communications and Applied Microbiology and Biotechnology.

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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