Kazuma Hashimoto

30 papers and 614 indexed citations i.

About

Kazuma Hashimoto is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Kazuma Hashimoto has authored 30 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Kazuma Hashimoto’s work include Topic Modeling (29 papers), Natural Language Processing Techniques (24 papers) and Multimodal Machine Learning Applications (15 papers). Kazuma Hashimoto is often cited by papers focused on Topic Modeling (29 papers), Natural Language Processing Techniques (24 papers) and Multimodal Machine Learning Applications (15 papers). Kazuma Hashimoto collaborates with scholars based in Japan, United States and United Kingdom. Kazuma Hashimoto's co-authors include Yoshimasa Tsuruoka, Akiko Eriguchi, Makoto Miwa, Caiming Xiong, Richard Socher, Sophia Ananiadou, Georgios Kontonatsios, Yingbo Zhou, Akari Asai and Hannaneh Hajishirzi and has published in prestigious journals such as Future Generation Computer Systems, Applied Sciences and Journal of Biomedical Informatics.

In The Last Decade

Co-authorship network of co-authors of Kazuma Hashimoto i

Fields of papers citing papers by Kazuma Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kazuma Hashimoto

Since Specialization
Citations

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