Masahito Togami

70 papers receiving 432 citations

Peers

Masahito Togami
Comparison fields: 5 of 37
  • Signal Processing 337
  • Computational Mechanics 191
  • Artificial Intelligence 95
  • Control and Systems Engineering 76
  • Biomedical Engineering 67
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Citations per year

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
#WorkIndexed citations
1 1
2
Over-determined Speech Source Separation and Dereverberation
4
3
Computer-Resource-Aware Deep Speech Separation with a Run-Time-Specified Number of BLSTM Layers
3
4 8
5 1
6 2
7
Ongaku Symposium 2014 : The 2nd Symposium on All Topics Related to Acoustics, Audition and Natural Language
1
8
Mass spectra separation for explosives detection by using PLCA with an attenuation model
1
9 1
10
Speech Recognition under Noisy Environment using Bidirectional OM-LSA Noise Suppression
1
11 12
12
Soft masking based adaptation for time-frequency beamformers under reverberant and background noise environments
1
13
Online speech source separation in meeting scene with time-varying weights of noise covariance matrices
2
14
A two-stage multichannel acoustic noise reduction under reverberant environments
0
15
Subband beamformer combined with time-frequency ICA for extraction of target source under reverberant environments
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16 10
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SOUND SOURCE SEPARATION OF OVERCOMPLETE CONVOLUTIVE MIXTURES USING GENERALIZED SPARSENESS
2
18 12
19 1
20
Learning Topological Structures of POMDP-based State Transition Models by State Splitting Method.
2

About Masahito Togami

Masahito Togami is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence, having authored 74 papers that have together received 454 indexed citations. Recurring topics across this work include Speech and Audio Processing (57 papers), Advanced Adaptive Filtering Techniques (33 papers) and Blind Source Separation Techniques (27 papers). The work is most often cited by research in Signal Processing (337 citations), Computational Mechanics (191 citations) and Control and Systems Engineering (76 citations). Masahito Togami has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yohei Kawaguchi, Robin Scheibler, Tatsuya Komatsu, Ryu Takeda, Y. Obuchi, Yoshiki Masuyama, Yasunari Obuchi, Minoru Sakairi, N. Abe and Saku Egawa. Their work appears in journals such as IEEE Transactions on Power Delivery, IEEE Signal Processing Letters and IEEE Transactions on Audio Speech and Language Processing.

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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