Yasuko Matsubara

92 total papers · 1.1k total citations
40 papers, 666 citations indexed

About

Yasuko Matsubara is a scholar working on Artificial Intelligence, Signal Processing and Economics and Econometrics. According to data from OpenAlex, Yasuko Matsubara has authored 40 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 27 papers in Signal Processing and 7 papers in Economics and Econometrics. Recurrent topics in Yasuko Matsubara's work include Time Series Analysis and Forecasting (27 papers), Data Stream Mining Techniques (13 papers) and Anomaly Detection Techniques and Applications (12 papers). Yasuko Matsubara is often cited by papers focused on Time Series Analysis and Forecasting (27 papers), Data Stream Mining Techniques (13 papers) and Anomaly Detection Techniques and Applications (12 papers). Yasuko Matsubara collaborates with scholars based in Japan, United States and China. Yasuko Matsubara's co-authors include Yasushi Sakurai, Christos Faloutsos, Lei Li, B. Aditya Prakash, Masatoshi Yoshikawa, Willem G. van Panhuis, Tomoharu Iwata, Zheng Chen, Naonori Ueda and Ichiro Kobayashi and has published in prestigious journals such as Scientific Reports, Computer Methods and Programs in Biomedicine and Scientific Data.

In The Last Decade

Yasuko Matsubara

34 papers receiving 648 citations

Author Peers

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

Author						Papers	Cites
Yasuko Matsubara	327	283	208	81	77	40	666
Graham Wills	218 0.7×	127 0.4×	65 0.3×	88 1.1×	67 0.9×	26	644
John Salerno	354 1.1×	55 0.2×	96 0.5×	137 1.7×	28 0.4×	33	696
Mi-Yen Yeh	288 0.9×	150 0.5×	127 0.6×	122 1.5×	8 0.1×	45	594
Ke Xu	254 0.8×	72 0.3×	56 0.3×	75 0.9×	23 0.3×	51	692
Ruocheng Guo	476 1.5×	51 0.2×	92 0.4×	196 2.4×	18 0.2×	52	769
Vahida Attar	244 0.7×	58 0.2×	87 0.4×	95 1.2×	25 0.3×	50	554
Xidao Wen	369 1.1×	172 0.6×	64 0.3×	80 1.0×	14 0.2×	29	613
Tong Xu	165 0.5×	37 0.1×	113 0.5×	125 1.5×	42 0.5×	46	588
Hong Yang	452 1.4×	40 0.1×	172 0.8×	169 2.1×	15 0.2×	42	644
Ulrich Paquet	363 1.1×	99 0.3×	37 0.2×	232 2.9×	18 0.2×	34	659

Countries citing papers authored by Yasuko Matsubara

Since Specialization

Citations

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

Fields of papers citing papers by Yasuko Matsubara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuko Matsubara

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