Hideki Nakayama

55 papers and 1.0k indexed citations i.

About

Hideki Nakayama is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hideki Nakayama has authored 55 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hideki Nakayama’s work include Multimodal Machine Learning Applications (17 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Topic Modeling (12 papers). Hideki Nakayama is often cited by papers focused on Multimodal Machine Learning Applications (17 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Topic Modeling (12 papers). Hideki Nakayama collaborates with scholars based in Japan, United Kingdom and Italy. Hideki Nakayama's co-authors include Leonardo Rundo, Changhee Han, Giancarlo Mauri, Yujiro Furukawa, Ryosuke Araki, H. Hayashi, Yudai Nagano, Raphael Shu, Wataru Shimoda and Ryuichiro Hataya and has published in prestigious journals such as SLEEP, BMC Bioinformatics and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Hideki Nakayama i

Fields of papers citing papers by Hideki Nakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hideki Nakayama

Since Specialization
Citations

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