Tomoko Izumi

30 papers and 108 indexed citations i.

About

Tomoko Izumi is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tomoko Izumi has authored 30 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 10 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tomoko Izumi’s work include Natural Language Processing Techniques (7 papers), Distributed systems and fault tolerance (6 papers) and Topic Modeling (5 papers). Tomoko Izumi is often cited by papers focused on Natural Language Processing Techniques (7 papers), Distributed systems and fault tolerance (6 papers) and Topic Modeling (5 papers). Tomoko Izumi collaborates with scholars based in Japan, Canada and France. Tomoko Izumi's co-authors include Taisuke Izumi, Fukuhito Ooshita, Toshimitsu Masuzawa, Hirotsugu Kakugawa, Sayaka Kamei, Koichi Wada, Kenji Imamura, Hiroshi Tsutsui, Yukihiro Nakamura and Ryuichiro Higashinaka and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Theoretical Computer Science and Ad Hoc Networks.

In The Last Decade

Co-authorship network of co-authors of Tomoko Izumi i

Fields of papers citing papers by Tomoko Izumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomoko Izumi

Since Specialization
Citations

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