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Hiroshi Saruwatari

Hiroshi Saruwatari

University of Tokyo
Japan

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 41 8701 8452 116 110 665 8948

Hiroshi Saruwatari publications per year

The chart shows the history of publications by Hiroshi Saruwatari between 1999 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hiroshi Saruwatari published across 28 years, from 1999 to 2026, averaging 28.1 papers a year. Output peaked at 52 publications in 2022. 31 of the 787 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1999 to 2026. Vertical axis: number of publications, 0 to 52. Peak 52 publications in 2022. 1999: 6 publications 2000: 9 publications 2001: 22 publications 2002: 26 publications 2003: 36 publications 2004: 34 publications 2005: 47 publications 2006: 36 publications 2007: 33 publications 2008: 35 publications 2009: 32 publications 2010: 37 publications 2011: 27 publications 2012: 28 publications 2013: 18 publications 2014: 18 publications 2015: 13 publications 2016: 16 publications 2017: 21 publications 2018: 20 publications 2019: 25 publications 2020: 39 publications 2021: 41 publications 2022: 52 publications 2023: 44 publications 2024: 41 publications 2025: 30 publications 2026: 1 publication
1999 2026

787 publications in total across all disciplines

View publications per year as a table
Hiroshi Saruwatari: publications per year, 1999 to 2026
Year Publications
1999 6
2000 9
2001 22
2002 26
2003 36
2004 34
2005 47
2006 36
2007 33
2008 35
2009 32
2010 37
2011 27
2012 28
2013 18
2014 18
2015 13
2016 16
2017 21
2018 20
2019 25
2020 39
2021 41
2022 52
2023 44
2024 41
2025 30
2026 1
Total 787
Download as CSV

Hiroshi Saruwatari publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Hiroshi Saruwatari sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 662–671 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 665 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17 665
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Hiroshi Saruwatari D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Hiroshi Saruwatari sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 40–41 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907 41
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Hiroshi Saruwatari is affiliated with the University of Tokyo in Japan and has contributed extensively to the field of computer science, focusing primarily on signal processing and artificial intelligence. Their research encompasses various subfields including computational mechanics, computer vision and pattern recognition, and cognitive neuroscience.

The scientist's main research topics center around speech and audio processing, speech recognition and synthesis, as well as music and audio processing. Additional areas of focus include blind source separation techniques, advanced adaptive filtering techniques, speech and dialogue systems, and natural language processing techniques.

Among recent significant papers authored or co-authored by Saruwatari are:

  • UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022, 2022, Interspeech 2022
  • Spatial Active Noise Control Based on Kernel Interpolation of Sound Field, 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • JSUT and JVS: Free Japanese voice corpora for accelerating speech synthesis research, 2020, Nippon Onkyo Gakkaishi/Acoustical Science and Technology/Nihon Onkyo Gakkaishi
  • Directionally Weighted Wave Field Estimation Exploiting Prior Information on Source Direction, 2021, IEEE Transactions on Signal Processing
  • Multichannel Blind Source Separation Based on Evanescent-Region-Aware Non-Negative Tensor Factorization in Spherical Harmonic Domain, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing

Frequent co-authors collaborating with Saruwatari include Shinnosuke Takamichi, Tomohiko Nakamura, Norihiro Takamune, Shoichi Koyama, and Daichi Kitamura.

The publication venues where Saruwatari has contributed most frequently are:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Interspeech 2022
  • IEICE Transactions on Information and Systems
  • Speech Communication

Saruwatari's research output reflects an interdisciplinary approach to signal processing and artificial intelligence, with various contributions advancing knowledge in speech synthesis, audio processing, and adaptive filtering methods. Their work forms part of the broader computer science discipline with a strong focus on audio and speech technologies.

Best Publications

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

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

  • Determined blind source separation unifying independent vector analysis and nonnegative matrix factorization

    Daichi Kitamura;Nobutaka Ono;Hiroshi Sawada;Hirokazu Kameoka

  • Evaluation of blind signal separation method using directivity pattern under reverberant conditions

    S. Kurita;H. Saruwatari;S. Kajita;K. Takeda

  • Blind source separation combining independent component analysis and beamforming

    Hiroshi Saruwatari;Satoshi Kurita;Kazuya Takeda;Fumitada Itakura

  • Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks

    Yuki Saito;Shinnosuke Takamichi;Hiroshi Saruwatari

  • Blind source separation based on a fast-convergence algorithm combining ICA and beamforming

    H. Saruwatari;T. Kawamura;T. Nishikawa;A. Lee

  • Speaking-aid systems using GMM-based voice conversion for electrolaryngeal speech

    Keigo Nakamura;Tomoki Toda;Hiroshi Saruwatari;Kiyohiro Shikano

  • Voice conversion algorithm based on Gaussian mixture model with dynamic frequency warping of STRAIGHT spectrum

    T. Toda;H. Saruwatari;K. Shikano

  • Blind Spatial Subtraction Array for Speech Enhancement in Noisy Environment

    Y. Takahashi;T. Takatani;K. Osako;H. Saruwatari

  • Maximum Likelihood Voice Conversion Based on GMM with STRAIGHT Mixed Excitation

    Yamato Ohtani;Tomoki Toda;Hiroshi Saruwatari;Kiyohiro Shikano

  • A review of blind source separation methods: two converging routes to ILRMA originating from ICA and NMF

    Hiroshi Sawada;Nobutaka Ono;Hirokazu Kameoka;Daichi Kitamura

  • GMM-Based Voice Conversion Applied to Emotional Speech Synthesis

    Hiromichi Kawanami;Yohei Iwami;Tomoki Toda;Hiroshi Saruwatari

  • Equivalence between frequency-domain blind source separation and frequency-domain adaptive beamforming for convolutive mixtures

    Shoko Araki;Shoji Makino;Yoichi Hinamoto;Ryo Mukai

  • Fundamental limitation of frequency domain blind source separation for convolutive mixture of speech

    S. Araki;S. Makino;T. Nishikawa;H. Saruwatari

  • JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis

    Ryosuke Sonobe;Shinnosuke Takamichi;Hiroshi Saruwatari

  • Public speech-oriented guidance system with adult and child discrimination capability

    R. Nisimura;A. Lee;H. Saruwatari;K. Shikano

  • Noise robust real world spoken dialogue system using GMM based rejection of unintended inputs.

    Akinobu Lee;Keisuke Nakamura;Ryuichi Nisimura;Hiroshi Saruwatari

  • Musical-Noise-Free Speech Enhancement Based on Optimized Iterative Spectral Subtraction

    R. Miyazaki;H. Saruwatari;T. Inoue;Y. Takahashi

  • Automatic optimization scheme of spectral subtraction based on musical noise assessment via higher-order statistics

    Yoshihisa Uemura;Yu Takahashi;Hiroshi Saruwatari;Kiyohiro Shikano

  • Sound Field Recording Using Distributed Microphones Based on Harmonic Analysis of Infinite Order

    Natsuki Ueno;Shoichi Koyama;Hiroshi Saruwatari

  • Low-delay voice conversion based on maximum likelihood estimation of spectral parameter trajectory.

    Takashi Muramatsu;Yamato Ohtani;Tomoki Toda;Hiroshi Saruwatari

Frequent Co-Authors

Kiyohiro Shikano
Kiyohiro Shikano Nara Institute of Science and Technology
Tomoki Toda
Tomoki Toda Nagoya University
Nobutaka Ono
Nobutaka Ono Tokyo Metropolitan University
Shoji Makino
Shoji Makino Waseda University
Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Kazuya Takeda
Kazuya Takeda Nagoya University
Shoko Araki
Shoko Araki NTT (Japan)
Hirokazu Kameoka
Hirokazu Kameoka NTT (Japan)
Hiroshi Sawada
Hiroshi Sawada NTT (Japan)
Tomohiro Nakatani
Tomohiro Nakatani NTT (Japan)

External Links

Personal website of Hiroshi Saruwatari Google Scholar page

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Best Scientists Citing Hiroshi Saruwatari

Tomoki Toda

Tomoki Toda

Nagoya University

Publications: 99

Shoji Makino

Shoji Makino

Waseda University

Publications: 76

Kazuhiro Nakadai

Kazuhiro Nakadai

Tokyo Institute of Technology

Publications: 64

Satoshi Nakamura

Satoshi Nakamura

Nara Institute of Science and Technology

Publications: 62

Shoko Araki

Shoko Araki

NTT (Japan)

Publications: 53

Hiroshi Sawada

Hiroshi Sawada

NTT (Japan)

Publications: 52

Hirokazu Kameoka

Hirokazu Kameoka

NTT (Japan)

Publications: 43

Tatsuya Kawahara

Tatsuya Kawahara

Kyoto University

Publications: 40

Walter Kellermann

Walter Kellermann

University of Erlangen-Nuremberg

Publications: 38

Sakriani Sakti

Sakriani Sakti

Nara Institute of Science and Technology

Publications: 35

Graham Neubig

Graham Neubig

Carnegie Mellon University

Publications: 33

Hiroshi G. Okuno

Hiroshi G. Okuno

Waseda University

Publications: 31

Junichi Yamagishi

Junichi Yamagishi

National Institute of Informatics

Publications: 30

Haizhou Li

Haizhou Li

Chinese University of Hong Kong, Shenzhen

Publications: 28

Kazuya Takeda

Kazuya Takeda

Nagoya University

Publications: 23

Nobutaka Ono

Nobutaka Ono

Tokyo Metropolitan University

Publications: 21

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