Saburo Tsuji

124 papers receiving 1.6k citations

Peers

Saburo Tsuji
Comparison fields: 5 of 113
  • Computer Vision and Pattern Recognition 1.5k
  • Aerospace Engineering 604
  • Media Technology 188
  • Artificial Intelligence 134
  • Control and Systems Engineering 123
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Daniel DeMenthon United States
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Citations per field
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Citations per year

Countries citing papers authored by Saburo Tsuji

Since Specialization
Citations

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

Fields of papers citing papers by Saburo Tsuji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saburo Tsuji

This figure shows the co-authorship network connecting the top 25 collaborators of Saburo Tsuji. A scholar is included among the top collaborators of Saburo Tsuji 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 Saburo Tsuji. Saburo Tsuji 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
Detection and pose estimation of human face with multiple model images
4
2
Determining robot egomotion from motion parallax observed by an active camera
4
3
Mobile robot navigation by an active control of the vision system
5
4 8
5
Visual path planning by a mobile robot
21
6
Recovering surface shape from boundary
2
7
Coarse-to-fine control strategy for matching motion stereo pairs
10
8
Utilization of a stripe pattern for dynamic scene analysis
6
9
Inferring motion of cylindrical object from shape information
2
10 6
11
Toward Generation of 3-Dimensional Models of Objects Using 2-Dimensional Figures and Explanations in Language.
1
12
Toward a learning of object models using analogical objects and verbal instruction
4
13 45
14
Knowledge-based identification of artery branches in cine-angiograms
10
15
Description of textures by a structural analysis
10
16
Boundary detection of textured regions
1
17
Understanding a simple cartoon film by a computer vision system
27
18
A machine vision for complex industrial parts with learning capability
9
19
Detection of homogeneous regions by structural analysis
22
20 5

About Saburo Tsuji

Saburo Tsuji is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Aerospace Engineering, having authored 133 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (62 papers), Robotics and Sensor-Based Localization (56 papers) and Advanced Image and Video Retrieval Techniques (29 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Computer Graphics and Computer-Aided Design (98 citations) and Aerospace Engineering (604 citations). Saburo Tsuji has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Fumiaki Tomita, Minoru Asada, Jiang Yu Zheng, Masahiko Yachida, Gang Xu, Hiroshi Ishiguro, Yasushi Yagi, Shinjiro Kawato, Yoshiaki Shirai and Yong‐Xin Guo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Biochemical and Biophysical Research Communications and Pattern Recognition.

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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