Toshiyuki Okada

2.6k citations
84 papers · 1.9k indexed · h-index 29
Topics
Medical Image Segmentation Techniques (11 papers)Medical Imaging and Analysis (10 papers)Advanced X-ray and CT Imaging (9 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaApplied Physics Letters

In The Last Decade

Toshiyuki Okada

80 papers receiving 1.8k citations

Peers

Toshiyuki Okada
Comparison fields: 5 of 151
  • Biomedical Engineering 485
  • Surgery 383
  • Computer Vision and Pattern Recognition 367
  • Molecular Biology 322
  • Radiology, Nuclear Medicine and Imaging 287
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Citations per field
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Countries citing papers authored by Toshiyuki Okada

Since Specialization
Citations

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

Fields of papers citing papers by Toshiyuki Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiyuki Okada

This figure shows the co-authorship network connecting the top 25 collaborators of Toshiyuki Okada. A scholar is included among the top collaborators of Toshiyuki Okada 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 Toshiyuki Okada. Toshiyuki Okada 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 8
2 23
3 30
4 45
5 84
6 5
7
Automated segmentation of the upper digestive tract from abdominal contrast-enhanced CT data using hierarchical statistical modeling of organ inter-relations
1
8 32
9
Determination of optimal shape of guidewire based on guidewire simulation
4
10
A scope cylinder rotation tracking method for oblique-viewing endoscopes without attached sensing device
5
11
Comparison of accuracy on camera calibration method with distortion correction for oblique-viewing endoscope for computer assisted endoscopic surgery
1
12 115
13 0
14
Preoperative Planning of Femur Fracture Reduction Based on Contralateral Bone Using 3-D CT Data and Its Accuracy Validation
1
15 14
16 28
17 0
18 1
19
1
20 6

About Toshiyuki Okada

Toshiyuki Okada is a scholar working on Computer Vision and Pattern Recognition, Surfaces, Coatings and Films and Biomaterials, having authored 84 papers that have together received 1.9k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Medical Imaging and Analysis (10 papers) and Advanced X-ray and CT Imaging (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (367 citations), Biomaterials (235 citations) and Surfaces, Coatings and Films (110 citations). Toshiyuki Okada has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Yoshito Ikada, Yoshinobu Sato, Masatoshi Hori, Masahiko Nakamoto, Noriyuki Tomiyama, Hironobu Nakamura, Emiko Mizoguchi, Yen‐Wei Chen, Marius George Linguraru and Ronald M. Summers. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Applied Physics Letters.

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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