Kazuya Kawakami

5 papers and 2.0k indexed citations i.

About

Kazuya Kawakami is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Kazuya Kawakami has authored 5 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Kazuya Kawakami’s work include Speech and Audio Processing (2 papers), Multimodal Machine Learning Applications (2 papers) and Topic Modeling (2 papers). Kazuya Kawakami is often cited by papers focused on Speech and Audio Processing (2 papers), Multimodal Machine Learning Applications (2 papers) and Topic Modeling (2 papers). Kazuya Kawakami collaborates with scholars based in United Kingdom, Spain and United States. Kazuya Kawakami's co-authors include Chris Dyer, Guillaume Lample, Sandeep Subramanian, Miguel Ballesteros, Phil Blunsom, Aäron van den Oord, Luyu Wang, Bryan Routledge and Noah A. Smith and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Kazuya Kawakami i

Fields of papers citing papers by Kazuya Kawakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kazuya Kawakami

Since Specialization
Citations

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