Kazuki Irie

19 papers and 309 indexed citations i.

About

Kazuki Irie is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kazuki Irie has authored 19 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kazuki Irie’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Speech Recognition and Synthesis (11 papers). Kazuki Irie is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Speech Recognition and Synthesis (11 papers). Kazuki Irie collaborates with scholars based in Germany, Switzerland and United States. Kazuki Irie's co-authors include Hermann Ney, Ralf Schlüter, Albert Zeyer, Parnia Bahar, Zoltán Tüske, Juergen Schmidhuber, Tamer Alkhouli, Martin Sundermeyer, Wei Zhou and Wilfried Michel and has published in prestigious journals such as Neuron, Neural Computation and Computer Speech & Language.

In The Last Decade

Co-authorship network of co-authors of Kazuki Irie i

Fields of papers citing papers by Kazuki Irie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kazuki Irie

Since Specialization
Citations

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