Yuta Tsuboi

36 total papers · 1.0k total citations
21 papers, 441 citations indexed

About

Yuta Tsuboi is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Yuta Tsuboi has authored 21 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Computer Science Applications. Recurrent topics in Yuta Tsuboi's work include Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers) and Anomaly Detection Techniques and Applications (5 papers). Yuta Tsuboi is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers) and Anomaly Detection Techniques and Applications (5 papers). Yuta Tsuboi collaborates with scholars based in Japan, United States and Germany. Yuta Tsuboi's co-authors include Hisashi Kashima, Masashi Sugiyama, Shohei Hido, Takafumi Kanamori, Steffen Bickel, Hiroki Ouchi, Yūji Matsumoto, Issei Sato, Yuya Unno and Masahiro Sadakane and has published in prestigious journals such as Journal of Chemical Theory and Computation, Faraday Discussions and Knowledge and Information Systems.

In The Last Decade

Yuta Tsuboi

19 papers receiving 404 citations

Author Peers

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

Author						Papers	Cites
Yuta Tsuboi	355	70	59	55	41	21	441
Nati Srebro	303 0.9×	127 1.8×	37 0.6×	19 0.3×	90 2.2×	17	455
Zheyan Shen	350 1.0×	187 2.7×	29 0.5×	23 0.4×	23 0.6×	17	490
Yiming Wu	164 0.5×	161 2.3×	19 0.3×	13 0.2×	31 0.8×	27	421
Marthinus Christoffel du Plessis	316 0.9×	78 1.1×	27 0.5×	37 0.7×	19 0.5×	14	401
Luis Muñoz-González	349 1.0×	33 0.5×	9 0.2×	89 1.6×	112 2.7×	14	433
Rajiv Khanna	342 1.0×	89 1.3×	14 0.2×	31 0.6×	27 0.7×	17	483
Aurélien Bellet	249 0.7×	134 1.9×	13 0.2×	86 1.6×	19 0.5×	28	388
Prateek Jain	91 0.3×	75 1.1×	16 0.3×	56 1.0×	30 0.7×	30	396
Yunzhang Zhu	176 0.5×	74 1.1×	222 3.8×	28 0.5×	19 0.5×	19	487
Olivier Bachem	287 0.8×	207 3.0×	11 0.2×	76 1.4×	23 0.6×	25	436

Countries citing papers authored by Yuta Tsuboi

Since Specialization

Citations

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

Fields of papers citing papers by Yuta Tsuboi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuta Tsuboi

This figure shows the co-authorship network connecting the top 25 collaborators of Yuta Tsuboi. A scholar is included among the top collaborators of Yuta Tsuboi 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 Yuta Tsuboi. Yuta Tsuboi 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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