Masataka Goto

422 total papers · 8.5k total citations
297 papers, 5.6k citations indexed

About

Masataka Goto is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Masataka Goto has authored 297 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 246 papers in Signal Processing, 178 papers in Computer Vision and Pattern Recognition and 96 papers in Artificial Intelligence. Recurrent topics in Masataka Goto's work include Music and Audio Processing (229 papers), Music Technology and Sound Studies (150 papers) and Speech and Audio Processing (147 papers). Masataka Goto is often cited by papers focused on Music and Audio Processing (229 papers), Music Technology and Sound Studies (150 papers) and Speech and Audio Processing (147 papers). Masataka Goto collaborates with scholars based in Japan, United States and United Kingdom. Masataka Goto's co-authors include Kazuyoshi Yoshii, Hiroshi G. Okuno, Ryuichi Oka, Takuichi Nishimura, Hiroki Hashiguchi, Tomoyasu Nakano, Jun Ogata, Yoichi Muraoka, Hiromasa Fujihara and Tetsuya Ogata and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Proceedings of the IEEE.

In The Last Decade

Masataka Goto

277 papers receiving 4.9k citations

Hit Papers

Content-Based Music Infor... 2002 2026 2010 2018 2008 2002 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Masataka Goto 4.6k 3.5k 1.3k 810 261 297 5.6k
Xavier Serra 3.5k 0.7× 2.5k 0.7× 810 0.6× 948 1.2× 241 0.9× 236 4.2k
Meinard Müller 3.2k 0.7× 3.7k 1.1× 893 0.7× 738 0.9× 68 0.3× 228 5.7k
George Tzanetakis 3.7k 0.8× 3.0k 0.9× 575 0.4× 860 1.1× 64 0.2× 150 4.3k
Juan Pablo Bello 4.1k 0.9× 2.6k 0.7× 814 0.6× 816 1.0× 56 0.2× 145 5.0k
Bhiksha Raj 3.6k 0.8× 2.5k 0.7× 2.8k 2.1× 399 0.5× 204 0.8× 233 6.3k
Yi‐Hsuan Yang 2.7k 0.6× 1.9k 0.6× 777 0.6× 1.2k 1.4× 134 0.5× 173 3.7k
Jonathan Foote 2.1k 0.5× 2.5k 0.7× 765 0.6× 281 0.3× 93 0.4× 94 3.5k
Jort F. Gemmeke 3.3k 0.7× 1.5k 0.4× 1.7k 1.3× 345 0.4× 56 0.2× 85 4.4k
Gerhard Widmer 3.7k 0.8× 3.1k 0.9× 2.4k 1.8× 1.1k 1.4× 542 2.1× 242 5.8k
Constantine Kotropoulos 1.8k 0.4× 2.0k 0.6× 1.2k 0.9× 226 0.3× 170 0.7× 205 3.9k

Countries citing papers authored by Masataka Goto

Since Specialization
Citations

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

Fields of papers citing papers by Masataka Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masataka Goto

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