Taku Kudo

21 papers and 2.4k indexed citations i.

About

Taku Kudo is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Taku Kudo has authored 21 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Taku Kudo’s work include Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers) and Text and Document Classification Technologies (4 papers). Taku Kudo is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers) and Text and Document Classification Technologies (4 papers). Taku Kudo collaborates with scholars based in Japan, United States and Germany. Taku Kudo's co-authors include John T. E. Richardson, Yūji Matsumoto, Kaoru Yamamoto, Koji Tsuda, Sebastian Nowozin, Eisaku Maeda, Tadashi Kadowaki, Hiroto Saigo, Takeaki Uno and Gökhan Bakır and has published in prestigious journals such as Environmental Science & Technology, Bioinformatics and eLife.

In The Last Decade

Co-authorship network of co-authors of Taku Kudo i

Fields of papers citing papers by Taku Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Taku Kudo

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025