World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
14211
World Ranking
6047
National Ranking
2728

Najim Dehak 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 Najim Dehak 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: 227 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Najim Dehak 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 Najim Dehak 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Najim Dehak is affiliated with Johns Hopkins University in the United States and specializes primarily in computer science. Their research spans several subfields including artificial intelligence, signal processing, physiology, cognitive neuroscience, and computer vision and pattern recognition. The focus of their work covers multiple topics related to speech and audio technologies, notably speech recognition and synthesis, speech and audio processing, music and audio processing, voice and speech disorders, speech and dialogue systems, natural language processing techniques, and adversarial robustness in machine learning.

Najim Dehak has contributed to a range of recent publications reflecting these interests. Notable works include:

  • "Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects" (2021, Biomedical Signal Processing and Control)
  • "Non-Autoregressive Transformer for Speech Recognition" (2020, IEEE Signal Processing Letters)
  • "Interpretable speech features vs. DNN embeddings: What to use in the automatic assessment of Parkinson's disease in multi-lingual scenarios" (2023, Computers in Biology and Medicine)
  • "Multilingual evaluation of interpretable biomarkers to represent language and speech patterns in Parkinson's disease" (2023, Frontiers in Neurology)
  • "Unclonable photonic keys hardened against machine learning attacks" (2020, APL Photonics)

Their frequent collaborators include Laureano Moro-Velázquez, Jesús Villalba, Thomas Thebaud, Piotr Żelasko, and Ankur Butala.

Najim Dehak's work is often published in venues such as arXiv (Cornell University), Alzheimer s & Dementia, Interspeech 2022, IEEE/ACM Transactions on Audio Speech and Language Processing, and bioRxiv (Cold Spring Harbor Laboratory).

The primary area of study for Najim Dehak is computer science, with a substantial number of publications in artificial intelligence and signal processing. Their research addresses challenges at the intersection of speech technology and biomedical applications, especially Parkinson's disease diagnosis and assessment, as reflected in multiple recent publications.

Best Publications

  • Front-End Factor Analysis for Speaker Verification

    Najim Dehak;Patrick J Kenny;Réda Dehak;Pierre Dumouchel

  • A Study of Interspeaker Variability in Speaker Verification

    P. Kenny;P. Ouellet;N. Dehak;V. Gupta

  • Language Recognition via i-vectors and Dimensionality Reduction.

    Najim Dehak;Pedro A. Torres-Carrasquillo;Douglas A. Reynolds;Réda Dehak

  • Deep Neural Network Approaches to Speaker and Language Recognition

    Fred Richardson;Douglas Reynolds;Najim Dehak

  • Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification

    Najim Dehak;Reda Dehak;Patrick Kenny;Niko Brummer

  • Cosine Similarity Scoring without Score Normalization Techniques.

    Najim Dehak;Réda Dehak;James R. Glass;Douglas A. Reynolds

  • Diarization is hard: Some experiences and lessons learned for the JHU team in the inaugural dihard challenge

    Gregory Sell;David Snyder;Alan McCree;Daniel Garcia-Romero

  • Hierarchical Transformers for Long Document Classification

    Raghavendra Pappagari;Piotr Zelasko;Jesus Villalba;Yishay Carmiel

  • Unsupervised Methods for Speaker Diarization: An Integrated and Iterative Approach

    Stephen H. Shum;Najim Dehak;Reda Dehak;James R. Glass

  • Modeling Prosodic Features With Joint Factor Analysis for Speaker Verification

    N. Dehak;P. Dumouchel;P. Kenny

  • A unified deep neural network for speaker and language recognition.

    Fred Richardson;Douglas A. Reynolds;Najim Dehak

  • Comparison of scoring methods used in speaker recognition with Joint Factor Analysis

    Ondrej Glembek;Lukas Burget;Najim Dehak;Niko Brummer

  • Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects

    Laureano Moro-Velazquez;Jorge A. Gomez-Garcia;Julian D. Arias-Londoño;Najim Dehak

  • ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual Networks.

    Cheng-I Lai;Nanxin Chen;Jesús Villalba;Najim Dehak

  • Automatic Dialect Detection in Arabic Broadcast Speech

    Ahmed Ali;Najim Dehak;Najim Dehak;Patrick Cardinal;Sameer Khurana

  • An i-vector extractor suitable for speaker recognition with both microphone and telephone speech

    Mohammed Senoussaoui;Patrick Kenny;Najim Dehak;Pierre Dumouchel

  • Exploiting Intra-Conversation Variability for Speaker Diarization

    Stephen Shum;Najim Dehak;Ekapol Chuangsuwanich;Douglas A. Reynolds

  • Emotion Identification from Raw Speech Signals Using DNNs.

    Mousmita Sarma;Pegah Ghahremani;Daniel Povey;Nagendra Kumar Goel

  • rVAD: An unsupervised segment-based robust voice activity detection method

    Zheng-Hua Tan;Achintya Kumar Sarkar;Najim Dehak

  • Support vector machines and Joint Factor Analysis for speaker verification

    Najim Dehak;Patrick Kenny;Reda Dehak;Ondrej Glembek

  • Discriminative and generative approaches for long- and short-term speaker characteristics modeling: application to speaker verification

    Najim Dehak

  • Language Recognition via Ivectors and Dimensionality Reduction

    Najim Dehak;Pedro A. Torres-Carrasquillo;Douglas Reynolds;Reda Dehak

Frequent Co-Authors

Sanjeev Khudanpur
Sanjeev Khudanpur Johns Hopkins University
Patrick Kenny
Patrick Kenny École de Technologie Supérieure
Shinji Watanabe
Shinji Watanabe Carnegie Mellon University
Juan Ignacio Godino-Llorente
Juan Ignacio Godino-Llorente Technical University of Madrid
Juan Rafael Orozco-Arroyave
Juan Rafael Orozco-Arroyave University of Antioquia
Lukas Burget
Lukas Burget Brno University of Technology
Daniel Povey
Daniel Povey Xiaomi (China)
Mark Hasegawa-Johnson
Mark Hasegawa-Johnson University of Illinois at Urbana-Champaign

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 Computer Science in the USA can open doors to a range of related fields and flexible career paths. Many students now choose online degree programs to balance study with work or family commitments. These programs span disciplines—each offering unique career opportunities and addressing evolving industry demands.

If you’re interested in fields that intersect with technology and analysis, consider a data master online program. This advanced degree focuses on big data, analytics, and data-driven decision making. Meanwhile, those drawn to business essentials may pursue an online accountant degree to develop vital financial and accounting skills sought by employers everywhere.

For students passionate about social impact, the cheapest online master's degree in criminal justice is a budget-friendly way to deepen your understanding of law, security, and public service. Likewise, if you envision a future in project coordination or the building industry, an construction management bachelor degree offers core expertise in both leadership and technical areas.

No matter your direction, these online paths offer flexible study while preparing you for rapidly changing job markets and specialized roles.

Best Scientists Citing Najim Dehak

Trending Scientists

Recently Published Articles