Katsuya Kondo

91 papers receiving 567 citations

Peers

Katsuya Kondo
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 167
  • Biomedical Engineering 153
  • Electrical and Electronic Engineering 72
  • Computational Mechanics 71
  • Mechanical Engineering 70
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Alfred Link Germany
Yang Xiang China
J. B. Abbiss United States
Biao Zhang China
Daniel J. Schroeder United States
Tomoya Takeuchi Japan
P. Guillemain France
Toni Lassila United Kingdom
Radomí­r Chabiniok United Kingdom
E. Yazgan Türkiye
Katsuya Kondo relative to Alfred Link Germany Alfred Link's profile →
Citations per field
00.5×3.3×
Alfred Link · 1×
Citations per year

Countries citing papers authored by Katsuya Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Katsuya Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuya Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Katsuya Kondo. A scholar is included among the top collaborators of Katsuya Kondo 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 Katsuya Kondo. Katsuya Kondo 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 0
2 1
3 5
4 1
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6
Image Synthesis of Twin Camera Using Self Similarity for Nasal Breath Test
0
7
Single Image Super-Resolution based on Reconstruction with Edge Preservation
1
8 1
9 1
10
Computer-Aided Diagnosis of Intracranial Aneurysms in MRA Images with Case-Based Reasoning(Biological Engineering)
6
11 22
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Knowledge-based Automatic Labeling of Cortical Sulci in 3-D Brain MR Images Using Fuzzy Modeling
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13 23
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Rough sets based medical image segmentation with connectedness
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15
Ultrasonography system of implant in bones for orthopedic surgery
4
16 1
17 1
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An Image Classification based on New Similarity Measure in Rough Sets.
1
19
Velocity estimation and moving object's detection by using wavelet transform and parallel Kalman filter
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20
Design of nonlinear cellular neural network filters for detecting linear trajectory signals
0

About Katsuya Kondo

Katsuya Kondo is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Neurology, having authored 111 papers that have together received 601 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (17 papers), Advanced Vision and Imaging (13 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (66 citations), Computer Vision and Pattern Recognition (167 citations) and Biophysics (28 citations). Katsuya Kondo has collaborated with scholars based in Japan, Switzerland and France. Frequent co-authors include Syoji Kobashi, Yutaka Hata, Naoto Kakuta, Yukio Yamada, Hidenobu Arimoto, Kouji Yasuda, Toshiyuki Nohira, Rika Hagiwara, Yutaka Hata and S. Futatani. Their work appears in journals such as Physical Review Letters, Journal of Applied Physics and Journal of The Electrochemical Society.

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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