Ryotaro Kamimura

1.4k total citations
114 papers, 777 citations indexed

About

Ryotaro Kamimura is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Ryotaro Kamimura has authored 114 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Artificial Intelligence, 37 papers in Computer Vision and Pattern Recognition and 12 papers in Cognitive Neuroscience. Recurrent topics in Ryotaro Kamimura's work include Neural Networks and Applications (91 papers), Face and Expression Recognition (28 papers) and Fuzzy Logic and Control Systems (16 papers). Ryotaro Kamimura is often cited by papers focused on Neural Networks and Applications (91 papers), Face and Expression Recognition (28 papers) and Fuzzy Logic and Control Systems (16 papers). Ryotaro Kamimura collaborates with scholars based in Japan, Canada and China. Ryotaro Kamimura's co-authors include Keizo Yamashita, Taeko Kamimura, Osamu Uchida, Haruhiko Takeuchi, Thomas R. Shultz, M Kadoya, Kazuo Kitagawa, Mitsuko Suzuki, Tsutomu Takashima and Osamu Matsui and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Radiology.

In The Last Decade

Ryotaro Kamimura

95 papers receiving 728 citations

Peers

Ryotaro Kamimura
Comparison fields: 5 of 150
  • Artificial Intelligence 405
  • Computer Vision and Pattern Recognition 174
  • Molecular Biology 64
  • Cognitive Neuroscience 57
  • Surgery 52
Replace Randal S. Olson with:
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Citations per field, relative to Ryotaro Kamimura
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Citations per year, relative to Ryotaro Kamimura
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Countries citing papers authored by Ryotaro Kamimura

Since Specialization
Citations

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

Fields of papers citing papers by Ryotaro Kamimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryotaro Kamimura

This figure shows the co-authorship network connecting the top 25 collaborators of Ryotaro Kamimura. A scholar is included among the top collaborators of Ryotaro Kamimura 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 Ryotaro Kamimura. Ryotaro Kamimura 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 0
2 0
3 6
4 2
5 3
6 2
7 7
8 10
9 5
10
Free energy-based competitive learning for self-organizing maps
6
11 8
12 3
13 18
14 32
15 1
16
Unification of Information Maximization and Minimization
1
17
Kernel Hidden Unit Analysis--Network Size Reduction by Entropy Minimization--
3
18
Maximum Entropy Principle : Improving Generalization Performance by Maximizing the Number of Internal Representations
1
19 8
20
Simultaneous detection of intercellular adhesion molecule-1 (CD54) and carcinoembryonic antigen in lung adenocarcinoma.
3

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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