Haruhisa Okuda

26 papers receiving 235 citations

Peers

Haruhisa Okuda
Comparison fields: 5 of 36
  • Control and Systems Engineering 157
  • Computer Vision and Pattern Recognition 121
  • Aerospace Engineering 86
  • Biomedical Engineering 74
  • Industrial and Manufacturing Engineering 63
Replace Arul Selvam Periyasamy with:
Arul Selvam Periyasamy Germany
Riccardo Caccavale Italy
Kai Krieger Germany
Oliver Birbach Germany
Hiromu Onda Japan
Xuehe Zhang China
Hongjie Fang China
Xinke Deng United States
Mohammad M. Aref Finland
Jan Czarnowski United Kingdom
Haruhisa Okuda relative to Arul Selvam Periyasamy Germany Arul Selvam Periyasamy's profile →
Citations per field
00.5×4.2×
Arul Selvam Periyasamy · 1×
Citations per year

Countries citing papers authored by Haruhisa Okuda

Since Specialization
Citations

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

Fields of papers citing papers by Haruhisa Okuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haruhisa Okuda

This figure shows the co-authorship network connecting the top 25 collaborators of Haruhisa Okuda. A scholar is included among the top collaborators of Haruhisa Okuda 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 Haruhisa Okuda. Haruhisa Okuda 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 6
2
Novel Intelligent Technologies for Industrial Robot in Manufacturing - Architectures and Applications
2
3 4
4 1
5 2
6 21
7 3
8 7
9 23
10 5
11 10
12 2
13 2
14 8
15
Vehicle Detection using Gaussian Mixture Model from IR Image
1
16 2
17 3
18
Image Registration based on Optimization of Partial Template Arrangement with Least Median of Squares Regression
0
19 10
20
Three-Level Broad-Edge Template Matching and Its Application to Real-Time Vision System
1

About Haruhisa Okuda

Haruhisa Okuda is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 29 papers that have together received 260 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), Advanced Vision and Imaging (9 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Control and Systems Engineering (157 citations), Industrial and Manufacturing Engineering (63 citations) and Computer Vision and Pattern Recognition (121 citations). Haruhisa Okuda has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Kazuhiko Sumi, Yuichi Taguchi, Yukiyasu Domae, Takashi Hirai, Akio Noda, Shun’ichi Kaneko, Oncel Tuzel, Ashok Veeraraghavan, Manabu Hashimoto and Tim K. Marks. Their work appears in journals such as Advanced Robotics, IEICE Transactions on Information and Systems and IEEJ Transactions on Industry Applications.

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