Masato Mimura

1.2k citations
69 papers · 629 · h-index 14

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems

Papers in

    • Speech Recognition and Synthesis 39
    • Natural Language Processing Techniques 14
    • Topic Modeling 10
    • Speech and Audio Processing 26
    • Music and Audio Processing 20
    • Blind Source Separation Techniques 5

Masato Mimura

61 papers receiving 573 citations

Peers

Masato Mimura
Comparison fields: 5 of 80
  • Signal Processing 301
  • Artificial Intelligence 401
  • Modeling and Simulation 32
  • Mathematical Physics 40
  • Algebra and Number Theory 16
Replace Mats G. Nordahl with:
Mats G. Nordahl Sweden
Morteza Esmaeili Iran
R. Sevilla-Escoboza Mexico
Kenjiro Maginu Japan
Chittaranjan Hens India
Mary Ann F. Harrison United States
Yuanzheng Paul Tan Singapore
Alessandro Ingrosso Italy
Yuanhua Qiao China
Tiago Pereira Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Masato Mimura

Since Specialization
Citations

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

Fields of papers citing papers by Masato Mimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Masato Mimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masato Mimura Line = papers co-authored together Masato Mimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998103
2 201942
3 201830
4 201829
5 202027
6 201226
7 201023
8 201022
9
Continuous Speech Recognition Consortium-an Open Repository for CSR Tools and Models-
200220
10 201717
11 201615
12 201914
13 201514
14 201513
15 201712
16 200112
17 200911
18 202210
19 201710
20 201810

About Masato Mimura

Masato Mimura is a scholar working on Artificial Intelligence, Signal Processing, Mathematical Physics, Geometry and Topology and Algebra and Number Theory, having authored 69 papers that have together received 629 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (39 papers), Speech and Audio Processing (26 papers), Music and Audio Processing (20 papers), Natural Language Processing Techniques (14 papers), Topic Modeling (10 papers), Advanced Topics in Algebra (7 papers), Advanced Operator Algebra Research (6 papers) and Blind Source Separation Techniques (5 papers). The work is most often cited by research in Signal Processing (301 citations), Artificial Intelligence (401 citations), Modeling and Simulation (32 citations), Mathematical Physics (40 citations) and Algebra and Number Theory (16 citations). Masato Mimura has collaborated with scholars based in Japan, France and China. Frequent co-authors include Tatsuya Kawahara, Shinsuke Sakai, Hirofumi Inaguma, Graham Neubig, Shinsuke Mori, Hideo Sakaguchi, Jun-ichi Wakita, Hiroto Itoh, Mitsugu Matsushita and Ismael Ràfols. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Annales de l’institut Fourier, Japan Journal of Industrial and Applied Mathematics, Journal of Topology and Analysis and Commentarii Mathematici Helvetici.

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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