World's Best Scientists 2026 revealed!
Marc Delcroix

Marc Delcroix

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 41 8851 8600 124 118 325 6955

Marc Delcroix publications per year

The chart shows the history of publications by Marc Delcroix between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Marc Delcroix published across 22 years, from 2004 to 2025, averaging 15.4 papers a year. Output peaked at 45 publications in 2024. 75 of the 339 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 45. Peak 45 publications in 2024. 2004: 1 publication 2005: 3 publications 2006: 5 publications 2007: 6 publications 2008: 4 publications 2009: 2 publications 2010: 1 publication 2011: 6 publications 2012: 10 publications 2013: 10 publications 2014: 2 publications 2015: 9 publications 2016: 9 publications 2017: 28 publications 2018: 17 publications 2019: 15 publications 2020: 32 publications 2021: 43 publications 2022: 28 publications 2023: 33 publications 2024: 45 publications 2025: 30 publications
2004 2025

339 publications in total across all disciplines

View publications per year as a table
Marc Delcroix: publications per year, 2004 to 2025
Year Publications
2004 1
2005 3
2006 5
2007 6
2008 4
2009 2
2010 1
2011 6
2012 10
2013 10
2014 2
2015 9
2016 9
2017 28
2018 17
2019 15
2020 32
2021 43
2022 28
2023 33
2024 45
2025 30
Total 339
Download as CSV

Marc Delcroix 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 Marc Delcroix 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, 322–331 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: 325 publications — 78th percentile

78% 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
322–331 206 325
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
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

Marc Delcroix 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 Marc Delcroix 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

Marc Delcroix is affiliated with NTT (Japan) and has a focus on research in computer science, particularly in signal processing and artificial intelligence. Their work primarily addresses speech recognition and synthesis, speech and audio processing, as well as music and audio processing.

Their research spans several subfields including signal processing, artificial intelligence, computational mechanics, oceanography, and electrical and electronic engineering.

Delcroix's recent contributions include publications in well-known venues such as arXiv (Cornell University), Interspeech 2022, ICASSP 2022, IEEE/ACM Transactions on Audio Speech and Language Processing, and IEEE Signal Processing Magazine.

  • Far-Field Automatic Speech Recognition, 2020, Proceedings of the IEEE
  • Neural Target Speech Extraction: An overview, 2023, IEEE Signal Processing Magazine
  • How bad are artifacts?: Analyzing the impact of speech enhancement errors on ASR, 2022, Interspeech 2022
  • End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend, 2021, arXiv (Cornell University)
  • SoundBeam: Target Sound Extraction Conditioned on Sound-Class Labels and Enrollment Clues for Increased Performance and Continuous Learning, 2022, IEEE/ACM Transactions on Audio Speech and Language Processing

Frequent coauthors include Tsubasa Ochiai, Shoko Araki, Keisuke Kinoshita, Tomohiro Nakatani, and Takafumi Moriya, reflecting a collaborative approach within the research community.

The main publication venues where Delcroix has contributed multiple works include:

  • arXiv (Cornell University)
  • Interspeech 2022
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • IEEE Signal Processing Magazine

The topics covered in Delcroix's research are concentrated on speech recognition and synthesis, speech and audio processing, and music and audio processing. Additional interests involve natural language processing techniques, topic modeling, advanced adaptive filtering techniques, and speech and dialogue systems.

Best Publications

  • 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

  • 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

  • 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

  • Single Channel Target Speaker Extraction and Recognition with Speaker Beam

    Marc Delcroix;Katerina Zmolikova;Keisuke Kinoshita;Atsunori Ogawa

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

    Kateřina Žmolíková;Marc Delcroix;Keisuke Kinoshita;Takuya Higuchi

  • Speech Enhancement Using Self-Adaptation and Multi-Head Self-Attention

    Yuma Koizumi;Kohei Yatabe;Marc Delcroix;Yoshiki Masuyama

  • 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

  • Precise Dereverberation Using Multichannel Linear Prediction

    M. Delcroix;T. Hikichi;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

  • Inverse filtering for speech dereverberation less sensitive to noise and room transfer function fluctuations

    Takafumi Hikichi;Marc Delcroix;Masato Miyoshi

  • Neural Network-Based Spectrum Estimation for Online WPE Dereverberation.

    Keisuke Kinoshita;Marc Delcroix;Haeyong Kwon;Takuma Mori

  • Neural Target Speech Extraction: An overview

    Unknown

  • Far-Field Automatic Speech Recognition

    Reinhold Haeb-Umbach;Jahn Heymann;Lukas Drude;Shinji Watanabe

  • Improving Noise Robust Automatic Speech Recognition with Single-Channel Time-Domain Enhancement Network

    Keisuke Kinoshita;Tsubasa Ochiai;Marc Delcroix;Tomohiro Nakatani

  • All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis

    Thilo von Neumann;Keisuke Kinoshita;Marc Delcroix;Shoko Araki

  • How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR

    Unknown

  • Listening to Each Speaker One by One with Recurrent Selective Hearing Networks

    Keisuke Kinoshita;Lukas Drude;Marc Delcroix;Tomohiro Nakatani

  • Static and Dynamic Variance Compensation for Recognition of Reverberant Speech With Dereverberation Preprocessing

    M. Delcroix;T. Nakatani;S. Watanabe

Frequent Co-Authors

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
Yanmin Qian
Yanmin Qian Shanghai Jiao Tong University
Walter Kellermann
Walter Kellermann University of Erlangen-Nuremberg
Lukas Burget
Lukas Burget Brno University of Technology
Nobutaka Ono
Nobutaka Ono Tokyo Metropolitan University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in Computer Science opens doors to flexible and affordable learning options. If you’re eager to advance your education quickly, you may want to consider the fastest masters degree online programs. These accelerated degrees allow students to earn qualifications in a shorter time frame, helping them enter or progress in the tech industry sooner.

Choosing the right degree is essential. Popular industry trends highlight that pursuing the best masters degree to get in Computer Science or related fields can greatly boost your employability and earning potential. But advanced degrees aren’t your only option.

For those interested in foundational knowledge or a more budget-friendly route, an associate's degree online offers a flexible way to develop essential computing skills. These programs are ideal for career starters or for professionals seeking a skill upgrade.

Finally, balancing cost with quality is crucial. Many students opt for cheap online colleges that deliver reputable Computer Science programs without the heavy financial burden. Doing your research on degree types and program quality is vital for your success in the field.

Best Scientists Citing Marc Delcroix

Trending Scientists

Recently Published Articles