Masao Someki

779 total citations · 1 hit paper
3 papers, 441 citations indexed

About

Masao Someki is a scholar working on Artificial Intelligence, Signal Processing and Infectious Diseases. According to data from OpenAlex, Masao Someki has authored 3 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Signal Processing and 0 papers in Infectious Diseases. Recurrent topics in Masao Someki's work include Speech Recognition and Synthesis (3 papers), Natural Language Processing Techniques (2 papers) and Topic Modeling (2 papers). Masao Someki is often cited by papers focused on Speech Recognition and Synthesis (3 papers), Natural Language Processing Techniques (2 papers) and Topic Modeling (2 papers). Masao Someki collaborates with scholars based in United States, Japan and China. Masao Someki's co-authors include Takaaki Hori, Nanxin Chen, Ziyan Jiang, Xiaofei Wang, Takenori Yoshimura, Ryuichi Yamamoto, Tomoki Hayashi, Shinji Watanabe, Hirofumi Inaguma and Shigeki Karita and has published in prestigious journals such as arXiv (Cornell University) and 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

In The Last Decade

Masao Someki

2 papers receiving 418 citations

Hit Papers

A Comparative Study on Transformer vs RNN in Speech Appli... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Masao Someki United States 2 354 240 32 17 15 3 441
Ziyan Jiang China 2 382 1.1× 250 1.0× 37 1.2× 17 1.0× 15 1.0× 2 468
Vitaly Lavrukhin United States 6 312 0.9× 214 0.9× 44 1.4× 13 0.8× 7 0.5× 20 371
K.K. Paliwal Australia 9 209 0.6× 193 0.8× 46 1.4× 18 1.1× 16 1.1× 22 339
A. Revathi India 9 133 0.4× 181 0.8× 70 2.2× 21 1.2× 26 1.7× 53 276
Chen Xie Italy 5 499 1.4× 421 1.8× 79 2.5× 17 1.0× 5 0.3× 13 581
Roberto Gemello Italy 10 396 1.1× 299 1.2× 42 1.3× 10 0.6× 10 0.7× 50 455
Titouan Parcollet France 9 214 0.6× 122 0.5× 74 2.3× 20 1.2× 10 0.7× 30 314
Hayato Kobayashi Japan 12 257 0.7× 166 0.7× 105 3.3× 18 1.1× 13 0.9× 31 445
Ramón Fernández Astudillo Portugal 15 622 1.8× 269 1.1× 91 2.8× 14 0.8× 16 1.1× 55 721

Countries citing papers authored by Masao Someki

Since Specialization
Citations

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

Fields of papers citing papers by Masao Someki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masao Someki

This figure shows the co-authorship network connecting the top 25 collaborators of Masao Someki. A scholar is included among the top collaborators of Masao Someki 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 Masao Someki. Masao Someki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Someki, Masao, Kwanghee Choi, Siddhant Arora, et al.. (2024). ESPnet-EZ: Python-Only ESPnet For Easy Fine-Tuning And Integration. 863–870.
2.
Someki, Masao, Yosuke Higuchi, Tomoki Hayashi, & Shinji Watanabe. (2022). ESPnet-ONNX: Bridging a Gap Between Research and Production. 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). 420–427. 2 indexed citations
3.
Karita, Shigeki, Nanxin Chen, Tomoki Hayashi, et al.. (2019). A Comparative Study on Transformer vs RNN in Speech Applications. arXiv (Cornell University). 449–456. 439 indexed citations breakdown →

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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