Kiyoshi Sudo

3 papers and 83 indexed citations i.

About

Kiyoshi Sudo is a scholar working on Artificial Intelligence, Management Science and Operations Research and Biomedical Engineering. According to data from OpenAlex, Kiyoshi Sudo has authored 3 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 1 paper in Biomedical Engineering. Recurrent topics in Kiyoshi Sudo’s work include Data Quality and Management (2 papers), Semantic Web and Ontologies (2 papers) and Natural Language Processing Techniques (1 paper). Kiyoshi Sudo is often cited by papers focused on Data Quality and Management (2 papers), Semantic Web and Ontologies (2 papers) and Natural Language Processing Techniques (1 paper). Kiyoshi Sudo collaborates with scholars based in United States. Kiyoshi Sudo's co-authors include Satoshi Sekine, Chikashi Nobata, Ralph Grishman, Hitoshi Isahara, Yusuke Shinyama and Kiyotaka Uchimoto and has published in prestigious journals such as Language Resources and Evaluation, CiteSeer X (The Pennsylvania State University) and NTCIR.

In The Last Decade

Co-authorship network of co-authors of Kiyoshi Sudo i

Fields of papers citing papers by Kiyoshi Sudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kiyoshi Sudo

Since Specialization
Citations

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