Tomoko Ohkuma

32 papers and 328 indexed citations i.

About

Tomoko Ohkuma is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Tomoko Ohkuma has authored 32 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 8 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Tomoko Ohkuma’s work include Topic Modeling (18 papers), Natural Language Processing Techniques (18 papers) and Biomedical Text Mining and Ontologies (8 papers). Tomoko Ohkuma is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (18 papers) and Biomedical Text Mining and Ontologies (8 papers). Tomoko Ohkuma collaborates with scholars based in Japan, Singapore and United States. Tomoko Ohkuma's co-authors include Yasuhide Miura, Eiji Aramaki, Hiroshi Masuichi, Yoshinobu Kano, Mizuki Morita, Kazuhiko Ohe, Kayo Waki, Kazuta Oguri, Hidetoshi Yoshimura and Shoko Wakamiya and has published in prestigious journals such as Journal of Medical Internet Research, Methods of Information in Medicine and JMIR Medical Informatics.

In The Last Decade

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

Fields of papers citing papers by Tomoko Ohkuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomoko Ohkuma

Since Specialization
Citations

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