World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
8515
World Ranking
11028
National Ranking
3

Luciana Ferrer 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 Luciana Ferrer sits on this spectrum.

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 publications 991+

This scientist: 133 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Luciana Ferrer 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 Luciana Ferrer sits on this spectrum.

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 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Luciana Ferrer is affiliated with the University of Buenos Aires in Argentina. Their research primarily lies in the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Signal Processing, Health Informatics, Radiology, Nuclear Medicine and Imaging, and Social Psychology.

The scientist's main topics of work include:

  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Artificial Intelligence in Healthcare and Education
  • Speech and Audio Processing
  • COVID-19 diagnosis using AI
  • Speech and dialogue systems
  • Explainable Artificial Intelligence (XAI)

Luciana Ferrer has contributed to various academic venues, with frequent publications in:

  • arXiv (Cornell University)
  • Nature Methods
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • European Radiology
  • Computer Speech & Language

Some recent papers by the scientist include:

  • Metrics reloaded: recommendations for image analysis validation, 2024, Nature Methods
  • Understanding metric-related pitfalls in image analysis validation, 2024, Nature Methods
  • Metrics reloaded: Recommendations for image analysis validation, 2022, arXiv (Cornell University)
  • Class imbalance on medical image classification: towards better evaluation practices for discrimination and calibration performance, 2024, European Radiology
  • Understanding metric-related pitfalls in image analysis validation, 2023, arXiv (Cornell University)

Frequent co-authors working alongside Luciana Ferrer include:

  • Pablo Riera
  • Leonardo Pepino
  • Annika Reinke
  • Patrick Godau
  • Minu D. Tizabi

Best Publications

  • The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases

    Ron Caspi;Richard Billington;Luciana Ferrer;Hartmut Foerster

  • A novel scheme for speaker recognition using a phonetically-aware deep neural network

    Yun Lei;Nicolas Scheffer;Luciana Ferrer;Mitchell McLaren

  • Method and apparatus for tailoring the output of an intelligent automated assistant to a user

    Gokhan Tur;Horacio E. Franco;Elizabeth Shriberg;Gregory K. Myers

  • Modeling prosodic feature sequences for speaker recognition

    Elizabeth Shriberg;Elizabeth Shriberg;Luciana Ferrer;Luciana Ferrer;Sachin S. Kajarekar;Anand Venkataraman

  • The Speakers in the Wild (SITW) Speaker Recognition Database.

    Mitchell McLaren;Luciana Ferrer;Diego Castan;Aaron Lawson

  • Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings

    Leonardo Pepino;Pablo Riera;Luciana Ferrer

  • MLLR transforms as features in speaker recognition.

    Andreas Stolcke;Luciana Ferrer;Sachin S. Kajarekar;Elizabeth Shriberg

  • Advances in deep neural network approaches to speaker recognition

    Mitchell McLaren;Yun Lei;Luciana Ferrer

  • Is the speaker done yet? faster and more accurate end-of-utterance detection using prosody.

    Luciana Ferrer;Elizabeth Shriberg;Andreas Stolcke

  • Towards noise-robust speaker recognition using probabilistic linear discriminant analysis

    Yun Lei;Lukas Burget;Luciana Ferrer;Martin Graciarena

  • Speaker Recognition With Session Variability Normalization Based on MLLR Adaptation Transforms

    A. Stolcke;S.S. Kajarekar;L. Ferrer;E. Shrinberg

  • Nonparametric feature normalization for SVM-based speaker verification

    A. Stolcke;S. Kajarekar;L. Ferrer

  • Study of senone-based deep neural network approaches for spoken language recognition

    Luciana Ferrer;Yun Lei;Mitchell McLaren;Nicolas Scheffer

  • Application of Convolutional Neural Networks to Language Identification in Noisy Conditions

    Yun Lei;Luciana Ferrer;Aaron Lawson;Mitchell McLaren

  • A prosody-based approach to end-of-utterance detection that does not require speech recognition

    L. Ferrer;E. Shriberg;A. Stolcke

  • Application of convolutional neural networks to speaker recognition in noisy conditions.

    Mitchell McLaren;Yun Lei;Nicolas Scheffer;Luciana Ferrer

  • Modeling duration patterns for speaker recognition

    Luciana Ferrer;Harry Bratt;Venkata Ramana Rao Gadde;Sachin S. Kajarekar

  • THE SRI NIST 2008 speaker recognition evaluation system

    Sachin S. Kajarekar;Nicolas Scheffer;Martin Graciarena;Elizabeth Shriberg

  • Prosodic knowledge sources for automatic speech recognition

    D. Vergyri;A. Stolcke;V.R.R. Gadde;L. Ferrer

  • SRI's 2004 NIST speaker recognition evaluation system

    S.S. Kajarekar;L. Ferrer;E. Shriberg;K. Sonmez

Frequent Co-Authors

Elizabeth Shriberg
Elizabeth Shriberg International Computer Science Institute
Horacio Franco
Horacio Franco SRI International
Lukas Burget
Lukas Burget Brno University of Technology
Gokhan Tur
Gokhan Tur Amazon (United States)
Abeer Alwan
Abeer Alwan University of California, Los Angeles
Dilek Hakkani-Tur
Dilek Hakkani-Tur University of Illinois at Urbana-Champaign
Charles R. Marmar
Charles R. Marmar New York University
Peter D. Karp
Peter D. Karp SRI International
Lukas A. Mueller
Lukas A. Mueller Boyce Thompson Institute

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