Masahiro Yagi

786 total citations
45 papers, 577 citations indexed

About

Masahiro Yagi is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Spectroscopy. According to data from OpenAlex, Masahiro Yagi has authored 45 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Safety, Risk, Reliability and Quality and 6 papers in Spectroscopy. Recurrent topics in Masahiro Yagi's work include Fire Detection and Safety Systems (6 papers), Oceanographic and Atmospheric Processes (5 papers) and Analytical Chemistry and Chromatography (4 papers). Masahiro Yagi is often cited by papers focused on Fire Detection and Safety Systems (6 papers), Oceanographic and Atmospheric Processes (5 papers) and Analytical Chemistry and Chromatography (4 papers). Masahiro Yagi collaborates with scholars based in Japan, United States and Russia. Masahiro Yagi's co-authors include V. Lumelsky, Ichiro Yasuda, Yoshimitsu Nagao, Eiichi Fujita, Tatsuo Yamauchi, Itsuo Nishioka, Yukihiro Shoyama, Motoo Shiro, Masahiro Nishikawa and Kentaro Watanabe and has published in prestigious journals such as Journal of the American Chemical Society, Geophysical Research Letters and The Journal of Organic Chemistry.

In The Last Decade

Masahiro Yagi

38 papers receiving 544 citations

Peers

Masahiro Yagi
Comparison fields: 5 of 99
  • Molecular Biology 115
  • Biomedical Engineering 115
  • Organic Chemistry 101
  • Oceanography 93
  • Plant Science 78
Replace Bingxin Liu with:
Bingxin Liu China
Lei Xia China
Qiong Pan China
David Herman Czechia
Elisabete F. Dias Portugal
Hongmei Wang China
Tong Yan China
Xin Fan China
Xiaoxiao Zhang China
Bingxin Liu China View profile →
Citations per field, relative to Masahiro Yagi
Masahiro Yagi · 1×
Citations per year, relative to Masahiro Yagi
Masahiro Yagi · 1×

Countries citing papers authored by Masahiro Yagi

Since Specialization
Citations

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

Fields of papers citing papers by Masahiro Yagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiro Yagi

This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Yagi. A scholar is included among the top collaborators of Masahiro Yagi 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 Masahiro Yagi. Masahiro Yagi 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
# Work Indexed citations
1 1
2 1
3 1
4 6
5 5
6 18
7 0
8 37
9 0
10 11
11 2
12 2
13 0
14 2
15 2
16 43
17 10
18 32
19 17
20 7

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026