World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6173
World Ranking
8921
National Ranking
540

Nicholas Cummins 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 Nicholas Cummins 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: 146 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Nicholas Cummins 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 Nicholas Cummins 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: 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.

Overview

Nicholas Cummins is affiliated with King's College London in the United Kingdom. Their research primarily focuses on the fields of psychology and medicine, with significant contributions in subfields such as experimental and cognitive psychology, applied psychology, cognitive neuroscience, clinical psychology, and artificial intelligence.

The areas of study they cover include mental health research topics, digital mental health interventions, emotion and mood recognition, speech recognition and synthesis, mental health via writing, COVID-19 and mental health, and speech and audio processing.

They have published extensively, with frequent appearances in venues such as arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), Research Square, and JMIR mhealth and uhealth.

Among their recent publications are:

  • Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study, 2021, JMIR mhealth and uhealth
  • Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition, 2021, Neural Networks
  • Five Crucial Challenges in Digital Health, 2020, Frontiers in Digital Health
  • Predicting Depressive Symptom Severity Through Individuals' Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study, 2021, JMIR mhealth and uhealth
  • Real-time assessment of COVID-19 prevalence among multiple sclerosis patients: a multicenter European study, 2020, Neurological Sciences

The scientist collaborates frequently with a group of coauthors including Richard Dobson, Matthew Hotopf, Amos Folarin, Vaibhav A. Narayan, and Faith Matcham. These collaborations have resulted in numerous joint publications.

Best Publications

  • A review of depression and suicide risk assessment using speech analysis

    Nicholas Cummins;Stefan Scherer;Jarek Krajewski;Sebastian Schnieder

  • AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge

    Fabien Ringeval;Björn Schuller;Michel Valstar;Jonathan Gratch

  • Snore Sound Classification Using Image-Based Deep Spectrum Features.

    Shahin Amiriparian;Maurice Gerczuk;Sandra Ottl;Nicholas Cummins

  • AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

    Fabien Ringeval;Björn Schuller;Michel Valstar;Nicholas Cummins

  • An Investigation of Depressed Speech Detection: Features and Normalization.

    Nicholas Cummins;Julien Epps;Michael Breakspear;Roland Goecke

  • Using smartphones and wearable devices to monitor behavioural changes during COVID-19

    Shaoxiong Sun;Amos Folarin;Yatharth Ranjan;Zulqarnain Rashid

  • Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning

    Nicholas Cummins;Alice Baird;Björn W. Schuller;Björn W. Schuller

  • AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition

    Fabien Ringeval;Björn Schuller;Michel Valstar;Roddy Cowie

  • An Image-based Deep Spectrum Feature Representation for the Recognition of Emotional Speech

    Nicholas Cummins;Shahin Amiriparian;Gerhard Hagerer;Anton Batliner

  • Diagnosis of depression by behavioural signals: a multimodal approach

    Nicholas Cummins;Jyoti Joshi;Abhinav Dhall;Vidhyasaharan Sethu

  • auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks

    Michael Freitag;Shahin Amiriparian;Sergey Pugachevskiy;Nicholas Cummins

  • Analysis of acoustic space variability in speech affected by depression

    Nicholas Cummins;Vidhyasaharan Sethu;Julien Epps;Sebastian Schnieder

  • Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition

    Ziping Zhao;Zhongtian Bao;Yiqin Zhao;Zixing Zhang

  • Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition.

    Ziping Zhao;Qifei Li;Zixing Zhang;Nicholas Cummins

  • Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders

    Ziping Zhao;Zhongtian Bao;Zixing Zhang;Jun Deng

  • An Investigation of Annotation Delay Compensation and Output-Associative Fusion for Multimodal Continuous Emotion Prediction

    Zhaocheng Huang;Ting Dang;Nicholas Cummins;Brian Stasak

  • Five Crucial Challenges in Digital Health.

    Nicholas Cummins;Björn W. Schuller;Björn W. Schuller

  • Biosensors and Internet of Things in smart healthcare applications: challenges and opportunities

    Maria Pateraki;Konstantinos Fysarakis;Vangelis Sakkalis;Georgios Spanoudakis

  • Modeling Spectral Variability for the Classification of Depressed Speech

    Nicholas Cummins;Julien Epps;Vidhyasaharan Sethu;Michael Breakspear

  • Learning Image-based Representations for Heart Sound Classification

    Zhao Ren;Nicholas Cummins;Vedhas Pandit;Jing Han

  • Emotional expression in psychiatric conditions: New technology for clinicians

    Karol Grabowski;Agnieszka Rynkiewicz;Amandine Lassalle;Simon Baron-Cohen

  • Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition.

    Ziping Zhao;Zhongtian Bao;Zixing Zhang;Nicholas Cummins

Frequent Co-Authors

Björn Schuller
Björn Schuller Imperial College London
Julien Epps
Julien Epps University of New South Wales
Matthew Hotopf
Matthew Hotopf King's College London
Faith Matcham
Faith Matcham University of Sussex
Til Wykes
Til Wykes King's College London
Femke Lamers
Femke Lamers Amsterdam UMC
Fabien Ringeval
Fabien Ringeval Grenoble Alpes University
Maja Pantic
Maja Pantic Imperial College London

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