Kazuki Shimada

116 total papers · 943 total citations
43 papers, 578 citations indexed

About

Kazuki Shimada is a scholar working on Signal Processing, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kazuki Shimada has authored 43 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 11 papers in Artificial Intelligence and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kazuki Shimada's work include Speech and Audio Processing (14 papers), Speech Recognition and Synthesis (11 papers) and Music and Audio Processing (10 papers). Kazuki Shimada is often cited by papers focused on Speech and Audio Processing (14 papers), Speech Recognition and Synthesis (11 papers) and Music and Audio Processing (10 papers). Kazuki Shimada collaborates with scholars based in Japan, United States and Canada. Kazuki Shimada's co-authors include Yuichiro Koyama, Yuki Mitsufuji, Shusuke Takahashi, Naoya Takahashi, Nobuyasu Yamaguchi, Haruhiko Ozaki, Masatoshi Makuuchi, Junji Yamamoto, Toshio Takayama and Tatsuya Kawahara and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kazuki Shimada

37 papers receiving 563 citations

Author Peers

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

Author Last Decade Papers Cites
Kazuki Shimada 173 91 88 62 62 43 578
Sung Uk Lee 39 0.2× 74 0.8× 19 0.2× 110 1.8× 15 0.2× 39 513
Dan Wang 18 0.1× 35 0.4× 92 1.0× 13 0.2× 197 3.2× 51 659
Jun Liu 18 0.1× 23 0.3× 149 1.7× 39 0.6× 44 0.7× 59 671
Shang‐Fu Chen 44 0.3× 6 0.1× 101 1.1× 140 2.3× 102 1.6× 33 627
Ling He 15 0.1× 118 1.3× 28 0.3× 67 1.1× 7 0.1× 40 548
Majid Harouni 22 0.1× 26 0.3× 100 1.1× 10 0.2× 12 0.2× 22 550
Weiqiu Jin 9 0.1× 6 0.1× 54 0.6× 50 0.8× 66 1.1× 28 507
Ryan Price 45 0.3× 25 0.3× 101 1.1× 9 0.1× 3 0.0× 50 514
Jun Wang 12 0.1× 14 0.2× 45 0.5× 38 0.6× 24 0.4× 39 641
Matthew Perez 16 0.1× 19 0.2× 32 0.4× 433 7.0× 79 1.3× 52 653

Countries citing papers authored by Kazuki Shimada

Since Specialization
Citations

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

Fields of papers citing papers by Kazuki Shimada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuki Shimada

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuki Shimada. A scholar is included among the top collaborators of Kazuki Shimada 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 Kazuki Shimada. Kazuki Shimada 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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2026