World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
8807
World Ranking
9597
National Ranking
599

Max A. Little 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 Max A. Little 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: 121 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Max A. Little 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 Max A. Little 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Max A. Little is affiliated with the University of Birmingham in the United Kingdom. Their research spans a multidisciplinary range combining computer science and medicine, with a particular focus on artificial intelligence, signal processing, biomedical engineering, neurology, and cognitive neuroscience.

Key topics in their work include:

  • Voice and Speech Disorders
  • Parkinson's Disease Mechanisms and Treatments
  • Balance, Gait, and Falls Prevention
  • Neurological disorders and treatments
  • Music and Audio Processing
  • Wireless Body Area Networks
  • Cerebral Palsy and Movement Disorders

Among the recent papers authored or coauthored by Max A. Little are:

  • Remote smartphone monitoring of Parkinson's disease and individual response to therapy, 2021, Nature Biotechnology
  • Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study, 2020, Journal of Medical Internet Research
  • Causal GraphSAGE: A robust graph method for classification based on causal sampling, 2022, Pattern Recognition
  • Deep Phenotyping of Parkinson's Disease, 2020, Journal of Parkinson s Disease
  • Remote Assessment of Parkinson's Disease Symptom Severity Using the Simulated Cellular Mobile Telephone Network, 2021, IEEE Access

The scientist frequently collaborates with several coauthors, including:

  • Yordan P. Raykov
  • Bastiaan R. Bloem
  • Luc J. W. Evers
  • Jamie Adams
  • Ruth B. Schneider

Max A. Little's publications appear repeatedly in venues such as:

  • arXiv (Cornell University)
  • Journal of Medical Internet Research
  • Journal of Parkinson s Disease
  • Sensors
  • bioRxiv (Cold Spring Harbor Laboratory)

Their body of work includes 31 publications classified under computer science and 20 under medicine. The researcher has made significant contributions to subfields including artificial intelligence with 15 publications, signal processing with 10, biomedical engineering and neurology each with 8, and cognitive neuroscience with 7.

Best Publications

  • Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease

    M.A. Little;P.E. McSharry;E.J. Hunter;J. Spielman

  • Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection

    Max A. Little;Patrick E. McSharry;Stephen J. Roberts;Declan A. E. Costello

  • Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech Tests

    A. Tsanas;M.A. Little;P.E. McSharry;L.O. Ramig

  • Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease

    A. Tsanas;M. A. Little;P. E. McSharry;J. Spielman

  • Technology in Parkinson's disease: Challenges and opportunities.

    Alberto J. Espay;Paolo Bonato;Fatta B. Nahab;Walter Maetzler

  • Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits

    Jacqueline M Lane;Jingjing Liang;Irma Vlasac;Irma Vlasac;Simon G Anderson;Simon G Anderson

  • Highly comparative time-series analysis: the empirical structure of time series and their methods

    Ben D. Fulcher;Max A. Little;Nick S. Jones;Nick S. Jones

  • Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score

    Andong Zhan;Srihari Mohan;Christopher Tarolli;Ruth B. Schneider

  • Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity

    Athanasios Tsanas;Max A. Little;Patrick E. McSharry;Lorraine O. Ramig

  • 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING

    Thanasis Tsanas;Max A. Little;Patrick E. McSharry;Lorraine O. Ramig

  • Objective Automatic Assessment of Rehabilitative Speech Treatment in Parkinson's Disease

    Athanasios Tsanas;Max A. Little;Cynthia Fox;Lorraine O. Ramig

  • Machine learning for large-scale wearable sensor data in Parkinson's disease: Concepts, promises, pitfalls, and futures

    Ken J. Kubota;Jason A. Chen;Max A. Little

  • What to do when K-means clustering fails: A simple yet principled alternative algorithm

    Yordan P. Raykov;Alexis Boukouvalas;Fahd Baig;Max A. Little;Max A. Little

  • Freezing of gait and fall detection in Parkinson’s disease using wearable sensors: a systematic review

    Ana Lígia Silva de Lima;Ana Lígia Silva de Lima;Luc J. W. Evers;Tim Hahn;Lauren Bataille

  • Feasibility of large-scale deployment of multiple wearable sensors in Parkinson’s disease

    Ana Lígia Silva De Lima;Ana Lígia Silva De Lima;Tim Hahn;Luc J.W. Evers;Nienke M. De Vries

  • Accurate telemonitoring of Parkinson’s disease progression by non-invasive speech tests

    Athanasios Tsanas;Max A. Little;Patrick E. McSharry;Lorraine O. Ramig

  • Generalized methods and solvers for noise removal from piecewise constant signals. I. Background theory

    Max A. Little;Nick S. Jones;Nick S. Jones

  • Using and understanding cross-validation strategies. Perspectives on Saeb et al.

    Max A Little;Gael Varoquaux;Sohrab Saeb;Luca Lonini

  • Suitability of dysphonia measurements for telemonitoring of Parkinson’s disease

    Max A. Little;Patrick E. McSharry;Eric J. Hunter;Jennifer Spielman

  • Predicting room occupancy with a single passive infrared (PIR) sensor through behavior extraction

    Yordan P. Raykov;Emre Ozer;Ganesh Dasika;Alexis Boukouvalas

  • Nonlinear, Biophysically-Informed Speech Pathology Detection

    M. Little;P. McSharry;I. Moroz;S. Roberts

  • Remote smartphone monitoring of Parkinson's disease and individual response to therapy.

    Larsson Omberg;Elias Chaibub Neto;Thanneer M Perumal;Abhishek Pratap;Abhishek Pratap

  • Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection

    Max A. Little;Patrick E. McSharry;Stephen A. Roberts;Declan A. E. Costello

Frequent Co-Authors

Patrick E. McSharry
Patrick E. McSharry Carnegie Mellon University
Frank A.J.L. Scheer
Frank A.J.L. Scheer Brigham and Women's Hospital
Susan Redline
Susan Redline Brigham and Women's Hospital
Richa Saxena
Richa Saxena Harvard University
Shaun Purcell
Shaun Purcell Harvard Medical School
David W. Ray
David W. Ray University of Oxford
Simon D. Kyle
Simon D. Kyle University of Oxford
Debbie A. Lawlor
Debbie A. Lawlor University of Bristol
Jesper Jensen
Jesper Jensen Aalborg University

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