S. Inokuchi

1.0k citations
62 papers · 675 · h-index 13

Impact in

Papers in

S. Inokuchi

54 papers receiving 619 citations

Peers

S. Inokuchi
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 416
  • Instrumentation 65
  • Computer Graphics and Computer-Aided Design 48
  • Geology 71
  • Media Technology 85
Replace Seungkyu Lee with:
Seungkyu Lee South Korea
Shinsaku Hiura Japan
Takuya Funatomi Japan
Xin Fan China
Henning Zimmer Switzerland
Heinz Hügli Switzerland
Tongbo Chen Germany
Baoyuan Wang China
Chia‐Kai Liang Taiwan
Theo Moons Belgium
S. Inokuchi relative to Seungkyu Lee South Korea Seungkyu Lee's profile →
Citations per field
00.5×1.5×2.4×
Seungkyu Lee · 1×
Citations per year

Countries citing papers authored by S. Inokuchi

Since Specialization
Citations

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

Fields of papers citing papers by S. Inokuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Range-imaging system for 3-D object recognition
1984162
2
Three-dimensional surface measurement by space encoding range imaging
198590
3 200240
4 200238
5 200337
6 200236
7 199727
8 200217
9 198515
10 200213
11 200213
12 199612
13 200212
14 198410
15 199010
16 19969
17 19849
18 19919
19 20008
20 19908

About S. Inokuchi

S. Inokuchi is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Aerospace Engineering and Electronic, Optical and Magnetic Materials, having authored 62 papers that have together received 675 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (15 papers), Robotics and Sensor-Based Localization (8 papers), Magneto-Optical Properties and Applications (7 papers), Magnetic Properties and Applications (7 papers), Optical measurement and interference techniques (6 papers), Magnetic properties of thin films (6 papers), Color Science and Applications (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (416 citations), Instrumentation (65 citations), Computer Graphics and Computer-Aided Design (48 citations), Geology (71 citations) and Media Technology (85 citations). S. Inokuchi has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Kousuke Sato, Haruhiro Katayose, Kosuke Sato, T. Numata, Yoshifumi Manabe, Atsushi Nakazawa, Hiroharu Kato, Masayuki Imai, Yasushi Sakurai and Shinsaku Hiura. Their work appears in journals such as IEEE Transactions on Magnetics, IEEE Transactions on Visualization and Computer Graphics, Knowledge-Based Systems, IEEE/ASME Transactions on Mechatronics and Journal of Applied Physics.

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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