Koichi Niijima

About

Koichi Niijima is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics and Computational Mechanics. According to data from OpenAlex, Koichi Niijima has authored 22 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Applied Mathematics and 5 papers in Computational Mechanics. Recurrent topics in Koichi Niijima’s work include Image and Signal Denoising Methods (7 papers), Differential Equations and Numerical Methods (5 papers) and Neural Networks and Applications (4 papers). Koichi Niijima is often cited by papers focused on Image and Signal Denoising Methods (7 papers), Differential Equations and Numerical Methods (5 papers) and Neural Networks and Applications (4 papers). Koichi Niijima collaborates with scholars based in Japan, Saudi Arabia and China. Koichi Niijima's co-authors include Shigeru Takano, Muhammad Hussain, Y. Okada, Yoshihiro Okada, Nobuhiro Ohta and Naoto Nakamura and has published in prestigious journals such as IEEE Transactions on Signal Processing, Mathematics of Computation and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Koichi Niijima i

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Fields of papers citing papers by Koichi Niijima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Koichi Niijima

Since Specialization

Citations

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