Koichiro Niinuma

13 papers and 211 indexed citations i.

About

Koichiro Niinuma is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Information Systems. According to data from OpenAlex, Koichiro Niinuma has authored 13 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Experimental and Cognitive Psychology and 2 papers in Information Systems. Recurrent topics in Koichiro Niinuma’s work include Face recognition and analysis (7 papers), Emotion and Mood Recognition (4 papers) and Face and Expression Recognition (4 papers). Koichiro Niinuma is often cited by papers focused on Face recognition and analysis (7 papers), Emotion and Mood Recognition (4 papers) and Face and Expression Recognition (4 papers). Koichiro Niinuma collaborates with scholars based in United States, Japan and The Netherlands. Koichiro Niinuma's co-authors include Anil K. Jain, Unsang Park, Hu Han, Takashi Matsuyama, Atsuto Maki, László A. Jeni, Itır Önal Ertuğrul, Jeffrey F. Cohn, Heng Yu and Tomoki Uchiyama and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, Computer Vision and Image Understanding and Frontiers in Computer Science.

In The Last Decade

Co-authorship network of co-authors of Koichiro Niinuma i

Fields of papers citing papers by Koichiro Niinuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Koichiro Niinuma

Since Specialization
Citations

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