T. Asakura

164 papers receiving 2.2k citations

Peers

T. Asakura
Comparison fields: 5 of 120
  • Acoustics and Ultrasonics 176
  • Computational Mechanics 912
  • Instrumentation 127
  • Computer Vision and Pattern Recognition 672
  • Media Technology 220
Replace Toshimitsu Asakura with:
Toshimitsu Asakura Japan
Steen G. Hanson Denmark
H. T. Yura United States
K. A. O’Donnell United States
James E. Harvey United States
J.D.C. Jones United Kingdom
Virendra N. Mahajan United States
Hideki Ina Japan
R. Dändliker Switzerland
Robert K. Tyson United States
T. Asakura relative to Toshimitsu Asakura Japan Toshimitsu Asakura's profile →
Citations per field
00.5×1.7×
Toshimitsu Asakura · 1×
Citations per year

Countries citing papers authored by T. Asakura

Since Specialization
Citations

This map shows the geographic impact of T. Asakura'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 T. Asakura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Asakura more than expected).

Fields of papers citing papers by T. Asakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T. Asakura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Asakura Line = papers co-authored together T. Asakura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981174
2 1991139
3 1974127
4
Dynamic Laser Speckles and their Application to Velocity Measurements of the Diffuse Object
198198
5 198775
6 197674
7 197464
8 199663
9 197552
10 198049
11 197548
12 197647
13 199242
14 198340
15 199339
16 197436
17 197834
18 198929
19 198428
20 198027

About T. Asakura

T. Asakura is a scholar working on Biomedical Engineering, Computational Mechanics, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 169 papers that have together received 2.4k indexed citations. Recurring topics across this work include Surface Roughness and Optical Measurements (57 papers), Optical measurement and interference techniques (46 papers), Optical Polarization and Ellipsometry (40 papers), Advanced Measurement and Metrology Techniques (20 papers), Orbital Angular Momentum in Optics (19 papers), Advanced Optical Imaging Technologies (19 papers), Photonic and Optical Devices (14 papers) and Optical Coherence Tomography Applications (13 papers). The work is most often cited by research in Acoustics and Ultrasonics (176 citations), Computational Mechanics (912 citations), Instrumentation (127 citations), Computer Vision and Pattern Recognition (672 citations) and Media Technology (220 citations). T. Asakura has collaborated with scholars based in Japan, Finland and Germany. Frequent co-authors include Nobuharù Takai, Hitoshi Fujii, Yoshihisa Aizu, Jun Uozumi, Toshiaki Iwai, Takahiro Iwai, Junji Ohtsubo, Hiromichi Mishina, Kai-Erik Peiponen∥ and Y. Shindo. Their work appears in journals such as Optics Communications, Optics & Laser Technology, Optical and Quantum Electronics, Pure and Applied Optics Journal of the European Optical Society Part A and Applied Physics B.

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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