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Tomohiro Nakatani

Tomohiro Nakatani

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Computer Science
Japan
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 52 5079 4940 61 58 437 10861

Tomohiro Nakatani publications per year

The chart shows the history of publications by Tomohiro Nakatani between 1955 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tomohiro Nakatani published across 71 years, from 1955 to 2025, averaging 7.2 papers a year. Output peaked at 38 publications in 2019. 33 of the 510 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1955 to 2025. Vertical axis: number of publications, 0 to 38. Peak 38 publications in 2019. 1955: 1 publication 1956: 0 publications 1957: 0 publications 1958: 0 publications 1959: 0 publications 1960: 0 publications 1961: 0 publications 1962: 0 publications 1963: 0 publications 1964: 0 publications 1965: 0 publications 1966: 0 publications 1967: 0 publications 1968: 0 publications 1969: 0 publications 1970: 0 publications 1971: 0 publications 1972: 0 publications 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 1 publication 1993: 0 publications 1994: 2 publications 1995: 3 publications 1996: 5 publications 1997: 2 publications 1998: 2 publications 1999: 2 publications 2000: 0 publications 2001: 1 publication 2002: 6 publications 2003: 9 publications 2004: 9 publications 2005: 9 publications 2006: 13 publications 2007: 19 publications 2008: 20 publications 2009: 21 publications 2010: 22 publications 2011: 27 publications 2012: 25 publications 2013: 28 publications 2014: 9 publications 2015: 17 publications 2016: 22 publications 2017: 32 publications 2018: 34 publications 2019: 38 publications 2020: 29 publications 2021: 33 publications 2022: 18 publications 2023: 18 publications 2024: 19 publications 2025: 14 publications
1955 2025

510 publications in total across all disciplines

View publications per year as a table
Tomohiro Nakatani: publications per year, 1955 to 2025
Year Publications
1955 1
1956 0
1957 0
1958 0
1959 0
1960 0
1961 0
1962 0
1963 0
1964 0
1965 0
1966 0
1967 0
1968 0
1969 0
1970 0
1971 0
1972 0
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 1
1993 0
1994 2
1995 3
1996 5
1997 2
1998 2
1999 2
2000 0
2001 1
2002 6
2003 9
2004 9
2005 9
2006 13
2007 19
2008 20
2009 21
2010 22
2011 27
2012 25
2013 28
2014 9
2015 17
2016 22
2017 32
2018 34
2019 38
2020 29
2021 33
2022 18
2023 18
2024 19
2025 14
Total 510
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Tomohiro Nakatani 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 Tomohiro Nakatani 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, 432–441 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: 437 publications — 90th percentile

90% 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 83 437
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
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
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Tomohiro Nakatani 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 Tomohiro Nakatani 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, 52–53 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: 52 D-Index — 65th percentile

65% 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
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518 52
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
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Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award
  • 2021 - IEEE Fellow For contributions to far-field signal processing for speech enhancement and recognition

Overview

Tomohiro Nakatani is affiliated with NTT in Japan and has a research focus primarily on computer science and medicine. Their work spans multiple subfields including signal processing, computational mechanics, artificial intelligence, surgery, and pathology and forensic medicine.

The scientist's research topics predominantly cover areas such as speech and audio processing, advanced adaptive filtering techniques, blind source separation techniques, speech recognition and synthesis, music and audio processing, spine and intervertebral disc pathology, and musculoskeletal pain and rehabilitation.

Frequent publication venues for their work include:

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

The scientist has coauthored extensively with several researchers, most frequently collaborating with Shoko Araki, Marc Delcroix, Keisuke Kinoshita, Rintaro Ikeshita, and Tsubasa Ochiai.

Notable recent papers include:

  • "Far-Field Automatic Speech Recognition" (2020), Proceedings of the IEEE
  • "Independent Vector Extraction for Fast Joint Blind Source Separation and Dereverberation" (2021), IEEE Signal Processing Letters
  • "A Joint Diagonalization Based Efficient Approach to Underdetermined Blind Audio Source Separation Using the Multichannel Wiener Filter" (2021), IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Block Coordinate Descent Algorithms for Auxiliary-Function-Based Independent Vector Extraction" (2021), IEEE Transactions on Signal Processing
  • "End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend" (2021), arXiv (Cornell University)

Tomohiro Nakatani was recognized as an IEEE Fellow in 2021 for contributions to far-field signal processing for speech enhancement and recognition.

Best Publications

  • Speech Dereverberation Based on Variance-Normalized Delayed Linear Prediction

    Tomohiro Nakatani;Takuya Yoshioka;Keisuke Kinoshita;Masato Miyoshi

  • The reverb challenge: Acommon evaluation framework for dereverberation and recognition of reverberant speech

    Keisuke Kinoshita;Marc Delcroix;Takuya Yoshioka;Tomohiro Nakatani

  • A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research

    Keisuke Kinoshita;Marc Delcroix;Sharon Gannot;Emanuël A. P. Habets

  • Making Machines Understand Us in Reverberant Rooms: Robustness Against Reverberation for Automatic Speech Recognition

    Takuya Yoshioka;A. Sehr;M. Delcroix;K. Kinoshita

  • Generalization of Multi-Channel Linear Prediction Methods for Blind MIMO Impulse Response Shortening

    T. Yoshioka;T. Nakatani

  • The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices

    Takuya Yoshioka;Nobutaka Ito;Marc Delcroix;Atsunori Ogawa

  • Suppression of Late Reverberation Effect on Speech Signal Using Long-Term Multiple-step Linear Prediction

    K. Kinoshita;M. Delcroix;T. Nakatani;M. Miyoshi

  • Robust MVDR beamforming using time-frequency masks for online/offline ASR in noise

    Takuya Higuchi;Nobutaka Ito;Takuya Yoshioka;Tomohiro Nakatani

  • SpeakerBeam: Speaker Aware Neural Network for Target Speaker Extraction in Speech Mixtures

    Katerina Zmolikova;Marc Delcroix;Keisuke Kinoshita;Tsubasa Ochiai

  • Improving transformer-based end-to-end speech recognition with connectionist temporal classification and language model integration

    Shigeki Karita;Nelson Enrique Yalta Soplin;Shinji Watanabe;Marc Delcroix

  • Blind Separation and Dereverberation of Speech Mixtures by Joint Optimization

    Takuya Yoshioka;Tomohiro Nakatani;Masato Miyoshi;Hiroshi G Okuno

  • Single Channel Target Speaker Extraction and Recognition with Speaker Beam

    Marc Delcroix;Katerina Zmolikova;Keisuke Kinoshita;Atsunori Ogawa

  • Blind speech dereverberation with multi-channel linear prediction based on short time fourier transform representation

    T. Nakatani;T. Yoshioka;K. Kinoshita;M. Miyoshi

  • Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniques

    Reinhold Haeb-Umbach;Shinji Watanabe;Tomohiro Nakatani;Michiel Bacchiani

  • Speaker-Aware Neural Network Based Beamformer for Speaker Extraction in Speech Mixtures.

    Kateřina Žmolíková;Marc Delcroix;Keisuke Kinoshita;Takuya Higuchi

  • A Multichannel MMSE-Based Framework for Speech Source Separation and Noise Reduction

    Mehrez Souden;Shoko Araki;Keisuke Kinoshita;Tomohiro Nakatani

  • Improving Speaker Discrimination of Target Speech Extraction With Time-Domain Speakerbeam

    Marc Delcroix;Tsubasa Ochiai;Katerina Zmolikova;Keisuke Kinoshita

  • Exploring multi-channel features for denoising-autoencoder-based speech enhancement

    Shoko Araki;Tomoki Hayashi;Marc Delcroix;Masakiyo Fujimoto

  • Blind dereverberation of single channel speech signal based on harmonic structure

    T. Nakatani;M. Miyoshi

  • Online MVDR Beamformer Based on Complex Gaussian Mixture Model With Spatial Prior for Noise Robust ASR

    Takuya Higuchi;Nobutaka Ito;Shoko Araki;Takuya Yoshioka

  • Low-Latency Real-Time Meeting Recognition and Understanding Using Distant Microphones and Omni-Directional Camera

    T. Hori;S. Araki;T. Yoshioka;M. Fujimoto

Frequent Co-Authors

Marc Delcroix
Marc Delcroix NTT (Japan)
Shoko Araki
Shoko Araki NTT (Japan)
Takuya Yoshioka
Takuya Yoshioka Microsoft (United States)
Shinji Watanabe
Shinji Watanabe Carnegie Mellon University
Reinhold Haeb-Umbach
Reinhold Haeb-Umbach University of Paderborn
Hiroshi G. Okuno
Hiroshi G. Okuno Waseda University
Hiroshi Sawada
Hiroshi Sawada NTT (Japan)
Shoji Makino
Shoji Makino Waseda University
Walter Kellermann
Walter Kellermann University of Erlangen-Nuremberg

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