Masahito Togami

656 total citations
74 papers, 454 citations indexed

About

Masahito Togami is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Masahito Togami has authored 74 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Signal Processing, 37 papers in Computational Mechanics and 20 papers in Artificial Intelligence. Recurrent topics in Masahito Togami's work include Speech and Audio Processing (57 papers), Advanced Adaptive Filtering Techniques (33 papers) and Blind Source Separation Techniques (27 papers). Masahito Togami is often cited by papers focused on Speech and Audio Processing (57 papers), Advanced Adaptive Filtering Techniques (33 papers) and Blind Source Separation Techniques (27 papers). Masahito Togami collaborates with scholars based in Japan, United States and United Kingdom. Masahito Togami's co-authors include Yohei Kawaguchi, Tatsuya Komatsu, Robin Scheibler, Ryu Takeda, Yoshiki Masuyama, Y. Obuchi, Yasunari Obuchi, Minoru Sakairi, Tadahiro Kitahashi and Saku Egawa and has published in prestigious journals such as IEEE Transactions on Power Delivery, IEEE Signal Processing Letters and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Masahito Togami

70 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masahito Togami Japan 12 337 191 95 76 67 74 454
Liming Shi China 11 288 0.9× 234 1.2× 47 0.5× 28 0.4× 60 0.9× 34 372
Nirmal Kumar Rout India 9 120 0.4× 143 0.7× 27 0.3× 47 0.6× 57 0.9× 32 280
Feiran Yang China 15 583 1.7× 547 2.9× 48 0.5× 44 0.6× 179 2.7× 74 716
JaeWook Shin South Korea 11 324 1.0× 339 1.8× 19 0.2× 47 0.6× 77 1.1× 38 475
Ernst Warsitz Germany 8 265 0.8× 171 0.9× 109 1.1× 10 0.1× 84 1.3× 19 421
Russell J. Niederjohn United States 10 326 1.0× 127 0.7× 140 1.5× 21 0.3× 57 0.9× 43 411
Laura Romoli Italy 11 274 0.8× 274 1.4× 12 0.1× 51 0.7× 57 0.9× 52 346
Christophe Beaugeant Germany 13 437 1.3× 312 1.6× 118 1.2× 9 0.1× 85 1.3× 51 482
Sylvain Argentieri France 10 209 0.6× 66 0.3× 49 0.5× 36 0.5× 47 0.7× 28 313

Countries citing papers authored by Masahito Togami

Since Specialization
Citations

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

Fields of papers citing papers by Masahito Togami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahito Togami

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

All Works

20 of 20 papers shown
1.
Scheibler, Robin, Tatsuya Komatsu, & Masahito Togami. (2021). Multichannel Separation and Classification of Sound Events. 2021 29th European Signal Processing Conference (EUSIPCO). 1035–1039. 1 indexed citations
2.
Togami, Masahito & Robin Scheibler. (2020). Over-determined Speech Source Separation and Dereverberation. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 705–710. 4 indexed citations
3.
Togami, Masahito, Yoshiki Masuyama, Tatsuya Komatsu, Kazuyoshi Yoshii, & Tatsuya Kawahara. (2020). Computer-Resource-Aware Deep Speech Separation with a Run-Time-Specified Number of BLSTM Layers. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 788–793. 3 indexed citations
4.
Komatsu, Tatsuya, Keisuke Imoto, & Masahito Togami. (2020). Scene-Dependent Acoustic Event Detection with Scene Conditioning and Fake-Scene-Conditioned Loss. 646–650. 9 indexed citations
5.
Takashima, Ryoichi, et al.. (2017). An application of noise-robust speech translation using asynchronous smart devices. 2 indexed citations
6.
Ikeshita, Rintaro, Yohei Kawaguchi, Masahito Togami, Yusuke Fujita, & Kenji Nagamatsu. (2017). Independent vector analysis with frequency range division and prior switching. 2329–2333. 5 indexed citations
7.
Kitahara, Tetsuro, et al.. (2014). Ongaku Symposium 2014 : The 2nd Symposium on All Topics Related to Acoustics, Audition and Natural Language. IEICE technical report. Speech. 114(52). 1–3. 1 indexed citations
8.
Togami, Masahito & Yohei Kawaguchi. (2014). Simultaneous Optimization of Acoustic Echo Reduction, Speech Dereverberation, and Noise Reduction against Mutual Interference. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(11). 1612–1623. 7 indexed citations
9.
Kawaguchi, Yohei, et al.. (2013). Mass spectra separation for explosives detection by using PLCA with an attenuation model. European Signal Processing Conference. 1–5. 1 indexed citations
10.
11.
Obuchi, Yasunari, Ryu Takeda, & Masahito Togami. (2013). Noise suppression method for preprocessor of time-lag speech recognition system based on bidirectional optimally modified log spectral amplitude estimation. Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi. 34(2). 133–141. 4 indexed citations
12.
Obuchi, Yasunari, Ryu Takeda, & Masahito Togami. (2012). Speech Recognition under Noisy Environment using Bidirectional OM-LSA Noise Suppression. 111(490). 37–42. 1 indexed citations
13.
Hori, Koichi & Masahito Togami. (2011). Multichannel Semi-Blind Source Separation Via Local Gaussian Modeling For Acoustic Echo Reduction. INFM-OAR (INFN Catania). 496–500. 8 indexed citations
14.
Togami, Masahito & Koichi Hori. (2010). Online speech source separation in meeting scene with time-varying weights of noise covariance matrices. Conference of the International Speech Communication Association. 25–30. 2 indexed citations
15.
Togami, Masahito & Yohei Kawaguchi. (2010). A two-stage multichannel acoustic noise reduction under reverberant environments. European Signal Processing Conference. 726–730.
16.
Kawaguchi, Yohei & Masahito Togami. (2010). Soft masking based adaptation for time-frequency beamformers under reverberant and background noise environments. European Signal Processing Conference. 736–740. 1 indexed citations
17.
Togami, Masahito, et al.. (2009). Subband beamformer combined with time-frequency ICA for extraction of target source under reverberant environments. European Signal Processing Conference. 150–154. 1 indexed citations
18.
Togami, Masahito, et al.. (2006). SOUND SOURCE SEPARATION OF OVERCOMPLETE CONVOLUTIVE MIXTURES USING GENERALIZED SPARSENESS. 16. 317–9. 2 indexed citations
19.
Egawa, Saku, et al.. (2005). ALL-N-007 Development of Human Symbiotic Robot EMIEW(Prototype Development Support Enterprise, Next-Generation Robot Commercialization Project,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2005(0). 6–6. 1 indexed citations
20.
Yairi, Takehisa, Masahito Togami, & Koichi Hori. (2003). Learning Topological Structures of POMDP-based State Transition Models by State Splitting Method.. Applied Informatics. 7–12. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Liming Shi Breakdown of academic impact, for papers by Nirmal Kumar Rout Breakdown of academic impact, for papers by Feiran Yang Breakdown of academic impact, for papers by JaeWook Shin Breakdown of academic impact, for papers by Ernst Warsitz Breakdown of academic impact, for papers by Russell J. Niederjohn Breakdown of academic impact, for papers by Laura Romoli Breakdown of academic impact, for papers by Christophe Beaugeant Breakdown of academic impact, for papers by Sylvain Argentieri
Rankless by CCL
2026