Masaru Sakurai

7.6k citations
223 papers · 3.9k indexed · h-index 36
Topics
Advanced Image Processing Techniques (30 papers)Advanced Vision and Imaging (20 papers)Image and Signal Denoising Methods (19 papers)
Journals
CirculationSHILAP Revista de lepidopterologíaGastroenterology
Partner nations
JapanUnited StatesChina

In The Last Decade

Masaru Sakurai

208 papers receiving 3.8k citations

Peers

Masaru Sakurai
Comparison fields: 5 of 165
  • Epidemiology 828
  • Endocrinology, Diabetes and Metabolism 739
  • Physiology 698
  • Public Health, Environmental and Occupational Health 521
  • Surgery 470
Replace Michael Griswold with:
Michael Griswold United States
Yiyi Zhang United States
Di Zhao United States
Jhi‐Joung Wang Taiwan
Mahyar Etminan Canada
Daniel G. Hackam Canada
Guangliang Shan China
Yuan‐Teh Lee Taiwan
R. Fellin Italy
Rutai Hui China
Masaru Sakurai relative to Michael Griswold United States Michael Griswold's profile →
Citations per field
00.5×1.5×
Michael Griswold · 1×
Citations per year

Countries citing papers authored by Masaru Sakurai

Since Specialization
Citations

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

Fields of papers citing papers by Masaru Sakurai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaru Sakurai

This figure shows the co-authorship network connecting the top 25 collaborators of Masaru Sakurai. A scholar is included among the top collaborators of Masaru Sakurai 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 Masaru Sakurai. Masaru Sakurai 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 5
2 1
3 1
4 0
5 2
6 33
7 33
8
Characteristics of smoking cessation in former smokers in a rural area of Japan
6
9 34
10 7
11 1
12 49
13 54
14 69
15
ACCURACY OF HUMAN MILK ANALYSER
1
16
1
17 39
18
1
19 1
20
Article Extraction and Classification of TV News Using Image and Speech Processing.
5

About Masaru Sakurai

Masaru Sakurai is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Endocrinology, Diabetes and Metabolism, having authored 223 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (30 papers), Advanced Vision and Imaging (20 papers) and Image and Signal Denoising Methods (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (739 citations), Physiology (698 citations) and Neurology (372 citations). Masaru Sakurai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hideaki Nakagawa, Teruhiko Kido, Katsuyuki Miura, Yuko Morikawa, Toshinari Takamura, Masao Ishizaki, Koshi Nakamura, Yuchi Naruse, Yasushi Suwazono and Shuichi Kaneko. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Gastroenterology.

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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