Sonko Osawa

824 citations
55 papers · 669 indexed · h-index 14

Impact in

Papers in

Sonko Osawa

53 papers receiving 579 citations

Peers

Sonko Osawa
Comparison fields: 5 of 46
  • Statistics, Probability and Uncertainty 184
  • Mechanical Engineering 576
  • Computer Vision and Pattern Recognition 211
  • Computational Mechanics 168
  • Instrumentation 15
Replace Marek Dobosz with:
Marek Dobosz Poland
Jong-Ahn Kim South Korea
Mitsuo Goto Japan
Tae Bong Eom South Korea
Yindi Cai China
A. Abou‐Zeid Germany
Enzheng Zhang China
F. Wäldele Germany
Qiangxian Huang China
Gerd Jäger Germany
Sonko Osawa relative to Marek Dobosz Poland Marek Dobosz's profile →
Citations per field
00.5×3.4×
Marek Dobosz · 1×
Citations per year

Countries citing papers authored by Sonko Osawa

Since Specialization
Citations

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

Fields of papers citing papers by Sonko Osawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sonko Osawa, 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 Sonko Osawa Line = papers co-authored together Sonko Osawa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20161
2 201513
3 20152
4 20146
5 20111
6 20094
7 200916
8 20081
9 200817
10 20062
11 20061
12 200585
13 20052
14 20043
15 20024
16 200211
17 20012
18 20019
19
Technical Report Initial performance check of NRLM's CMM using NML's 300mm ball-plate
20002
20
Joint experiments on the calibration of the ball-plate by Poland and Japan
20001

About Sonko Osawa

Sonko Osawa is a scholar working on Statistics, Probability and Uncertainty, Mechanical Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering and Industrial and Manufacturing Engineering, having authored 55 papers that have together received 669 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (50 papers), Optical measurement and interference techniques (23 papers), Scientific Measurement and Uncertainty Evaluation (17 papers), Gear and Bearing Dynamics Analysis (10 papers), Advanced machining processes and optimization (10 papers), Advanced Sensor Technologies Research (9 papers), Surface Roughness and Optical Measurements (4 papers) and Tribology and Lubrication Engineering (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (184 citations), Mechanical Engineering (576 citations), Computer Vision and Pattern Recognition (211 citations), Computational Mechanics (168 citations) and Instrumentation (15 citations). Sonko Osawa has collaborated with scholars based in Japan, Germany and Australia. Frequent co-authors include Toshiyuki Takatsuji, Osamu Satô, Tomizo Kurosawa, Masaharu KOMORI, Kiyoshi Takamasu, Satoru Takahashi, Aizoh KUBO, Mitsuo Goto, Ping Yang and Tomoaki Yano. Their work appears in journals such as Precision Engineering, Measurement Science and Technology, Journal of Mechanical Design, International Journal of Automation Technology and Measurement.

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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