Toshiyuki Gotoh

78 papers receiving 716 citations

Peers

Toshiyuki Gotoh
Comparison fields: 5 of 96
  • Pulmonary and Respiratory Medicine 295
  • Computer Vision and Pattern Recognition 206
  • Radiology, Nuclear Medicine and Imaging 133
  • Atomic and Molecular Physics, and Optics 110
  • Physiology 74
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Countries citing papers authored by Toshiyuki Gotoh

Since Specialization
Citations

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

Fields of papers citing papers by Toshiyuki Gotoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiyuki Gotoh

This figure shows the co-authorship network connecting the top 25 collaborators of Toshiyuki Gotoh. A scholar is included among the top collaborators of Toshiyuki Gotoh 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 Gotoh. Toshiyuki Gotoh 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 19
2 2
3 57
4 25
5 47
6 1
7
Computer aided system for respiratory motion analysis of the lung region by sequential MR images
10
8
Shape Tracking on Chest MR Sequence Images Using Respiratory Patterns
10
9
A Hough Based Eye Direction Detection Algorithm without On-site Calibration
6
10 1
11
Vanishing point and vanishing line estimation with line clustering
14
12 0
13
AUTOMATIC VISUAL INSPECTION SYSTEM FOR INDUSTRIAL PRINTING.
2
14
A Proposal of Normalization for Binaural Recording
1
15
On the Advanced Stereophonic Reproducing System "Ambience Stereo"
1
16
New Precise Calibration Method of Recorded Disc Level Using Laser Beam
0
17 8
18
Design of an Electro-Acoustic Transducer Using Piezoelectric Polymer Film
11
19
Frequency Response Considerations for an Electrostatic Horn Tweeter Using Electret Elements
1
20
On 'Out-of-Head Localization' in Headphone Listening
22

About Toshiyuki Gotoh

Toshiyuki Gotoh is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Geology, having authored 88 papers that have together received 754 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (19 papers), Image and Object Detection Techniques (11 papers) and Medical Imaging Techniques and Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (206 citations), Pulmonary and Respiratory Medicine (295 citations) and Human-Computer Interaction (40 citations). Toshiyuki Gotoh has collaborated with scholars based in Japan, Brazil and Mozambique. Frequent co-authors include Tae Iwasawa, Seiichiro Kagei, Tomio Inoue, Marcos de Sales Guerra Tsuzuki, Takashi Ogura, Akira Asakura, Yuma Iwao, Takuya Yazawa, Tomohisa Baba and Fumikazu Sakai. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Molecular Sciences and European Respiratory Journal.

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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