Tomoko Ohkuma

78 total papers · 1.2k total citations
53 papers, 748 citations indexed

About

Tomoko Ohkuma is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Tomoko Ohkuma has authored 53 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 10 papers in Molecular Biology and 8 papers in Information Systems. Recurrent topics in Tomoko Ohkuma's work include Topic Modeling (31 papers), Natural Language Processing Techniques (28 papers) and Biomedical Text Mining and Ontologies (10 papers). Tomoko Ohkuma is often cited by papers focused on Topic Modeling (31 papers), Natural Language Processing Techniques (28 papers) and Biomedical Text Mining and Ontologies (10 papers). Tomoko Ohkuma collaborates with scholars based in Japan, United States and Singapore. Tomoko Ohkuma's co-authors include Yasuhide Miura, Eiji Aramaki, Masahiro Sato, Hiroshi Masuichi, Francine Chen, Qian Zhang, Kazuhiko Ohe, Yanying Chen, Mizuki Morita and Yoshinobu Kano 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

Tomoko Ohkuma

49 papers receiving 690 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tomoko Ohkuma	549	172	116	90	55	53	748
Zongcheng Ji	544 1.0×	252 1.5×	166 1.4×	78 0.9×	25 0.5×	25	753
Shoko Wakamiya	209 0.4×	74 0.4×	81 0.7×	27 0.3×	21 0.4×	82	756
Elena Tutubalina	517 0.9×	204 1.2×	62 0.5×	8 0.1×	60 1.1×	68	778
Halil Bişğin	110 0.2×	239 1.4×	53 0.5×	12 0.1×	19 0.3×	40	714
Jochen L. Leidner	449 0.8×	62 0.4×	156 1.3×	6 0.1×	6 0.1×	53	705
Matthew Shardlow	616 1.1×	78 0.5×	81 0.7×	17 0.2×	29 0.5×	42	796
Sadid A. Hasan	618 1.1×	171 1.0×	84 0.7×	8 0.1×	27 0.5×	46	797
Shaodian Zhang	665 1.2×	269 1.6×	122 1.1×	6 0.1×	6 0.1×	26	905
Meenakshi Nagarajan	573 1.0×	29 0.2×	553 4.8×	18 0.2×	21 0.4×	27	899
Madian Khabsa	467 0.9×	79 0.5×	298 2.6×	43 0.5×	2 0.0×	49	864

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).

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.

Co-authorship network of co-authors of Tomoko Ohkuma

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Ohkuma. A scholar is included among the top collaborators of Tomoko Ohkuma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomoko Ohkuma. Tomoko Ohkuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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