Koichiro Deguchi

107 papers receiving 1.1k citations

Peers

Koichiro Deguchi
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 904
  • Aerospace Engineering 317
  • Media Technology 217
  • Computational Mechanics 175
  • Biomedical Engineering 117
Replace Gérard Medioni with:
Gérard Medioni United States
J.-Y. Bouguet United States
H. Harlyn Baker United States
Katrin Lasinger Austria
A.Y. Ng United States
Jean‐Charles Bazin South Korea
Saburo Tsuji Japan
Quang-Tuan Luong France
Kejie Li China
Leslie Ikemoto United States
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Citations per field
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Gérard Medioni · 1×
Citations per year

Countries citing papers authored by Koichiro Deguchi

Since Specialization
Citations

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

Fields of papers citing papers by Koichiro Deguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichiro Deguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Koichiro Deguchi. A scholar is included among the top collaborators of Koichiro Deguchi 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 Koichiro Deguchi. Koichiro Deguchi 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
#WorkIndexed citations
1 67
2
3D reconstruction of reflective surface on reflection type tactile sensor using constraints of geometrical optics
6
3
GPU-based high-speed and high-precision visual tracking
1
4 2
5 3
6 8
7 1
8
3-Dimensional Tracking of Multiple Object Motions from Multi-view Images by Mixed-state CONDENSATION Algorithm.
1
9 16
10 5
11 0
12
A Method to Register Multiple Range Images from Unknown Viewing Directions.
2
13
Matching Three or More Images by Trifocal Tensor
1
14 1
15
3-D SHAPE RECONSTRUCTION FROM ENDOSCOPE IMAGE SEQUENCES BY THE FACTORIZATION METHOD
16
16 5
17
3-D SHAPE RECONSTRUCTION FROM CAMERA MOTION WITH INEXACT MOTION PARAMETERS
1
18 2
19 1
20 3

About Koichiro Deguchi

Koichiro Deguchi is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 116 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (61 papers), Image Processing Techniques and Applications (25 papers) and Robotics and Sensor-Based Localization (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (904 citations), Computer Graphics and Computer-Aided Design (91 citations) and Media Technology (217 citations). Koichiro Deguchi has collaborated with scholars based in Japan, India and France. Frequent co-authors include Takayuki Okatani, Satoshi Saga, Takahiro Yoshida, Ken Sakurada, Hidekata Hontani, Yutaka Satoh, ‪Keiji Yanai‬, Keisuke Kinoshita, Ken Fukuda and Shigeru Akamatsu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, PLoS Pathogens and International Journal of Computer Vision.

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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