Kohei Arai

74 papers and 281 indexed citations i.

About

Kohei Arai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Kohei Arai has authored 74 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Aerospace Engineering. Recurrent topics in Kohei Arai’s work include Computer Science and Engineering (4 papers), Remote Sensing and Land Use (4 papers) and Superconductivity in MgB2 and Alloys (3 papers). Kohei Arai is often cited by papers focused on Computer Science and Engineering (4 papers), Remote Sensing and Land Use (4 papers) and Superconductivity in MgB2 and Alloys (3 papers). Kohei Arai collaborates with scholars based in Japan, Indonesia and United States. Kohei Arai's co-authors include Supriya Kapoor, Satoshi Tsuchida, Kurt Thome, Stuart F. Biggar, Takami Matsuo, Makoto Matsuo, Hiroshi Okumura, Akira Fujimaki, Shigeyuki Miyajima and Takekazu Ishida and has published in prestigious journals such as Circulation, PLoS ONE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Kohei Arai i

Fields of papers citing papers by Kohei Arai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kohei Arai

Since Specialization
Citations

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

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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2025