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Shoji Makino

Shoji Makino

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Computer Science
Japan
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
11538
World Ranking
2187
National Ranking
77

Computer Science

D-Index
55
Citations
11257
World Ranking
4347
National Ranking
44

Shoji Makino publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Shoji Makino sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 401 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Shoji Makino D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Shoji Makino sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 55 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Shoji Makino is affiliated with Waseda University in Japan, focusing their research primarily within the broad domain of Computer Science. Their work extensively covers specialized subfields including Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Cognitive Neuroscience, and Artificial Intelligence.

The core topics addressed by Shoji Makino encompass Speech and Audio Processing, Blind Source Separation Techniques, Advanced Adaptive Filtering Techniques, Music and Audio Processing, Speech Recognition and Synthesis, EEG and Brain-Computer Interfaces, and Gaze Tracking and Assistive Technology.

Their recent published papers demonstrate the range and focus of their research interests:

  • "Comparison of P300 Responses in Auditory, Visual and Audiovisual Spatial Speller BCI Paradigms," 2020, arXiv (Cornell University)
  • "Speech Emotion Recognition Based on Self-Attention Weight Correction for Acoustic and Text Features," 2022, IEEE Access
  • "Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years," 2023, IEEE Signal Processing Magazine
  • "Time-Frequency-Bin-Wise Linear Combination of Beamformers for Distortionless Signal Enhancement," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Geometrically Constrained Independent Vector Analysis with Auxiliary Function Approach and Iterative Source Steering," 2022, 2022 30th European Signal Processing Conference (EUSIPCO)

Makino frequently publishes in the following venues:

  • arXiv (Cornell University)
  • Journal of Signal Processing
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
  • IEEE Access

Collaborations are a significant element of Makino's research output. Frequent coauthors include Takeshi Yamada, Tomohiro Nakatani, Rintaro Ikeshita, Shoko Araki, and Nobutaka Ono.

Best Publications

  • A robust and precise method for solving the permutation problem of frequency-domain blind source separation

    H. Sawada;R. Mukai;S. Araki;S. Makino

  • Speech Enhancement

    Jacob Benesty;Shoji Makino;Jingdong Chen

  • Blind speech separation

    Shoji Makino;Hiroshi Sawada;Te-Won Lee

  • The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech

    S. Araki;R. Mukai;S. Makino;T. Nishikawa

  • Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment

    Hiroshi Sawada;Shoko Araki;Shoji Makino

  • Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors

    Shoko Araki;Hiroshi Sawada;Ryo Mukai;Shoji Makino

  • First stereo audio source separation evaluation campaign: data, algorithms and results

    Emmanuel Vincent;Hiroshi Sawada;Pau Bofill;Shoji Makino

  • Polar coordinate based nonlinear function for frequency-domain blind source separation

    Hiroshi Sawada;Ryo Mukai;Shoko Araki;Shoji Makino

  • Multichannel Signal Enhancement Algorithms for Assisted Listening Devices: Exploiting spatial diversity using multiple microphones

    Simon Doclo;Walter Kellermann;Shoji Makino;Sven Erik Nordholm

  • Exponentially weighted stepsize NLMS adaptive filter based on the statistics of a room impulse response

    S. Makino;Y. Kaneda;N. Koizumi

  • Common acoustical pole and zero modeling of room transfer functions

    Y. Haneda;S. Makino;Y. Kaneda

  • Grouping Separated Frequency Components by Estimating Propagation Model Parameters in Frequency-Domain Blind Source Separation

    H. Sawada;S. Araki;R. Mukai;S. Makino

  • Measuring Dependence of Bin-wise Separated Signals for Permutation Alignment in Frequency-domain BSS

    H. Sawada;S. Araki;S. Makino

  • Map-based underdetermined blind source separation of convolutive mixtures by hierarchical clustering and l 1 -norm minimization

    Stefan Winter;Walter Kellermann;Hiroshi Sawada;Shoji Makino

  • Stereo projection echo canceller with true echo path estimation

    S. Shimauchi;S. Makino

  • Blind Extraction of Dominant Target Sources Using ICA and Time-Frequency Masking

    H. Sawada;S. Araki;R. Mukai;S. Makino

  • Frequency-Domain Blind Source Separation

    Shoji Makino;Hiroshi Sawada;Shoko Araki

  • Common-acoustical-pole and zero modeling of head-related transfer functions

    Y. Haneda;S. Makino;Y. Kaneda;N. Kitawaki

  • Method and apparatus for multi-channel acoustic echo cancellation

    Suehiro Shimauchi;Shoji Makino;Junji Kojima

  • Natural gradient multichannel blind deconvolution and speech separation using causal FIR filters

    S.C. Douglas;H. Sawada;S. Makino

Frequent Co-Authors

Shoko Araki
Shoko Araki NTT (Japan)
Hiroshi Sawada
Hiroshi Sawada NTT (Japan)
Nobutaka Ono
Nobutaka Ono Tokyo Metropolitan University
Hiroshi Saruwatari
Hiroshi Saruwatari University of Tokyo
Hirokazu Kameoka
Hirokazu Kameoka NTT (Japan)
Walter Kellermann
Walter Kellermann University of Erlangen-Nuremberg
Scott C. Douglas
Scott C. Douglas Southern Methodist University
Danilo P. Mandic
Danilo P. Mandic Imperial College London
Sven Nordholm
Sven Nordholm Curtin University

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