Akio Kimura

413 total citations
35 papers, 305 citations indexed

About

Akio Kimura is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Genetics. According to data from OpenAlex, Akio Kimura has authored 35 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Akio Kimura's work include Image and Object Detection Techniques (5 papers), Image Processing and 3D Reconstruction (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Akio Kimura is often cited by papers focused on Image and Object Detection Techniques (5 papers), Image Processing and 3D Reconstruction (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Akio Kimura collaborates with scholars based in Japan, Philippines and United Arab Emirates. Akio Kimura's co-authors include Panagiotis Karanis, Yasuhiro Kusuhara, Takashi Watanabe, Yasuhiko Suzuki, Kimiko Tomioka, Chie Nakajima, Hiroshi Miyamoto, S. Akita, Satoru Maruyama and Masatoshi Ichikawa and has published in prestigious journals such as Bioinformatics, International Journal of Cancer and International Journal of Environmental Research and Public Health.

In The Last Decade

Akio Kimura

31 papers receiving 286 citations

Peers

Akio Kimura
Comparison fields: 5 of 67
  • Endocrinology 177
  • Molecular Biology 132
  • Health, Toxicology and Mutagenesis 74
  • Biomedical Engineering 33
  • Computer Vision and Pattern Recognition 33
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Citations per field, relative to Akio Kimura
Akio Kimura · 1×
Citations per year, relative to Akio Kimura
Akio Kimura · 1×

Countries citing papers authored by Akio Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Akio Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Kimura. A scholar is included among the top collaborators of Akio Kimura 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 Akio Kimura. Akio Kimura 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 5
4
A Deep Learning Method to Impute Missing Values and Compress Genome-ide Polymorphism Data in Rice.
2
5 2
6 2
7 2
8 3
9 6
10 108
11 3
12 58
13 1
14 17
15 1
16 8
17 5
18 1
19 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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