Koh Kakusho

500 total citations
57 papers, 261 citations indexed

About

Koh Kakusho is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Koh Kakusho has authored 57 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Control and Systems Engineering. Recurrent topics in Koh Kakusho's work include Advanced Vision and Imaging (11 papers), Optical measurement and interference techniques (7 papers) and Robotics and Sensor-Based Localization (7 papers). Koh Kakusho is often cited by papers focused on Advanced Vision and Imaging (11 papers), Optical measurement and interference techniques (7 papers) and Robotics and Sensor-Based Localization (7 papers). Koh Kakusho collaborates with scholars based in Japan, Taiwan and United States. Koh Kakusho's co-authors include Michihiko Minoh, Takuya Funatomi, Hsiu‐Ping Yueh, Masaaki Iiyama, Masayuki Murakami, Weijane Lin, Yiling Liu, Yoko Yamakata, Atsushi Hashimoto and Takeshi Okadome and has published in prestigious journals such as Scientific Reports, IEEE Access and Information Sciences.

In The Last Decade

Koh Kakusho

48 papers receiving 233 citations

Peers

Koh Kakusho
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 85
  • Artificial Intelligence 46
  • Education 36
  • Biomedical Engineering 34
  • Information Systems 27
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Citations per field, relative to Koh Kakusho
Koh Kakusho · 1×
Citations per year, relative to Koh Kakusho
Koh Kakusho · 1×

Countries citing papers authored by Koh Kakusho

Since Specialization
Citations

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

Fields of papers citing papers by Koh Kakusho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koh Kakusho

This figure shows the co-authorship network connecting the top 25 collaborators of Koh Kakusho. A scholar is included among the top collaborators of Koh Kakusho 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 Koh Kakusho. Koh Kakusho 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
# Work Indexed citations
1 4
2 17
3 2
4 3
5 3
6 5
7 0
8
Constructing a full-support online project-based learning environment
2
9
D-12-75 Region and Color Extraction for Food Product by Background Image Control
0
10
Silhouette Refining for the Volume Intersection Method with Random Pattern Backgrounds
1
11 51
12
Simulating realistic force and shape of virtual cloth with adaptive meshes and its parallel implementation in OpenMP.
2
13
A-16-17 Utilizing knowledge about Visual Feature Transition and Possible Cooking Operation for Recognitine Food Production Process
0
14 0
15 2
16
適応としてのHAI( HAI : ヒューマンエージェントインタラクション)
1
17 3
18 1
19
A Multi-Agent Based Method for Extracting Characters and Character Strings
0
20 2

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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