Akihide Kimura

487 citations
13 papers · 417 indexed · h-index 7

Impact in

Papers in

Akihide Kimura

13 papers receiving 389 citations

Peers

Akihide Kimura
Comparison fields: 5 of 21
  • Computer Vision and Pattern Recognition 204
  • Mechanical Engineering 358
  • Statistics, Probability and Uncertainty 57
  • Computational Mechanics 155
  • Surfaces, Coatings and Films 50
Replace Tae Bong Eom with:
Tae Bong Eom South Korea
Rainer Köning Germany
Paul Köchert Germany
Gerd Jäger Germany
Sonko Osawa Japan
Roland Füßl Germany
Gaopeng Xue China
Enzheng Zhang China
Heui-Jae Pahk South Korea
Wenmei Hou China
Akihide Kimura relative to Tae Bong Eom South Korea Tae Bong Eom's profile →
Citations per field
00.5×4.5×
Tae Bong Eom · 1×
Citations per year

Countries citing papers authored by Akihide Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Akihide Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Akihide Kimura, 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 Akihide Kimura Line = papers co-authored together Akihide Kimura links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20252
2 2012118
3 20126
4 20115
5 201113
6 201038
7
A multi-probe surface encoder for mosaic XY grating
20101
8 201042
9 200990
10 20081
11
A two-degree-of-freedom linear encoder for measurement of position and straightness
20084
12
Design and Construction of a Surface Encoder with Dual Sine-Grids
200713
13 200784

About Akihide Kimura

Akihide Kimura is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Mechanical Engineering, Surfaces, Coatings and Films and Statistics, Probability and Uncertainty, having authored 13 papers that have together received 417 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (10 papers), Optical measurement and interference techniques (6 papers), Surface Roughness and Optical Measurements (5 papers), Advanced Surface Polishing Techniques (3 papers), Sensor Technology and Measurement Systems (2 papers), Photonic and Optical Devices (1 paper), Advanced Numerical Analysis Techniques (1 paper) and Synthesis and Properties of Aromatic Compounds (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (204 citations), Mechanical Engineering (358 citations), Statistics, Probability and Uncertainty (57 citations), Computational Mechanics (155 citations) and Surfaces, Coatings and Films (50 citations). Akihide Kimura has collaborated with scholars based in Japan and China. Frequent co-authors include Wei Gao, Yoshikazu Arai, Yuki Shimizu, Koji Hosono, Lijiang Zeng, Lei Shi, Woo‐Jae Kim, Satoshi KIYONO, In Soo Ko and Munetaka Iwamura. Their work appears in journals such as Precision Engineering, International Journal of Precision Engineering and Manufacturing, CIRP Annals, Chemical Science and Measurement Science and Technology.

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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2026