Naonori Ueda

123 papers and 2.5k indexed citations i.

About

Naonori Ueda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Naonori Ueda has authored 123 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 16 papers in Environmental Engineering. Recurrent topics in Naonori Ueda’s work include Bayesian Methods and Mixture Models (15 papers), Complex Network Analysis Techniques (12 papers) and Text and Document Classification Technologies (11 papers). Naonori Ueda is often cited by papers focused on Bayesian Methods and Mixture Models (15 papers), Complex Network Analysis Techniques (12 papers) and Text and Document Classification Technologies (11 papers). Naonori Ueda collaborates with scholars based in Japan, Malaysia and Iran. Naonori Ueda's co-authors include Ryohei Nakano, Bahareh Kalantar, Kazumi Saito, Zoubin Ghahramani, Vahideh Saeidi, Alfian Abdul Halin, Tomoharu Iwata, Takeshi Yamada, Geoffrey E. Hinton and Kourosh Ahmadi and has published in prestigious journals such as Nature Communications, PLoS ONE and Geophysical Journal International.

In The Last Decade

Co-authorship network of co-authors of Naonori Ueda i

Fields of papers citing papers by Naonori Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Naonori Ueda

Since Specialization
Citations

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