World's Best Scientists 2026 revealed!
Award Badge
Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
79
Citations
19636
World Ranking
1156
National Ranking
69

Stephen J. Roberts 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 Stephen J. Roberts 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: 419 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Stephen J. Roberts 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 Stephen J. Roberts 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: 79 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2015 - Fellow of the Royal Academy of Engineering (UK)

Overview

Stephen J. Roberts is affiliated with the University of Oxford in the United Kingdom. Their research spans across Earth and Planetary Sciences and Environmental Science, with a strong focus on Atmospheric Science, Ecology, and Global and Planetary Change. Additional interests include Pulmonary and Respiratory Medicine and Artificial Intelligence.

The key topics covered in their work encompass:

  • Geology and Paleoclimatology Research
  • Cryospheric studies and observations
  • Winter Sports Injuries and Performance
  • Polar Research and Ecology
  • Isotope Analysis in Ecology
  • Tree-ring climate responses
  • Climate variability and models

Among recent publications, notable works include:

  • "A global database of Holocene paleotemperature records" (2020), published in Scientific Data
  • "Southward migration of the Southern Hemisphere westerly winds corresponds with warming climate over centennial timescales" (2020), published in Communications Earth & Environment
  • "Inorganic geochemistry of lake sediments: A review of analytical techniques and guidelines for data interpretation" (2023), published in Earth-Science Reviews
  • "Unequal Anthropogenic Enrichment of Mercury in Earth's Northern and Southern Hemispheres" (2020), published in ACS Earth and Space Chemistry
  • "Deglaciation of Pope Glacier implies widespread early Holocene ice sheet thinning in the Amundsen Sea sector of Antarctica" (2020), published in Earth and Planetary Science Letters

Frequent co-authors in their research include Louise Foster, Emma J. Pearson, Dominic A. Hodgson, Steve Juggins, and Joanne S. Johnson.

Publication venues where Roberts has contributed multiple times are:

  • Scientific Data
  • Earth and Planetary Science Letters
  • Frontiers in Earth Science
  • Quaternary Science Reviews
  • Communications Earth & Environment

Stephen J. Roberts was recognized as a Fellow of the Royal Academy of Engineering (UK) in 2015.

Best Publications

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

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

  • Gaussian processes for time-series modelling

    S. Roberts;M. Osborne;M. Ebden;S. Reece

  • Overlapping community detection using Bayesian non-negative matrix factorization

    Ioannis Psorakis;Stephen J Roberts;Mark Ebden;Ben Sheldon

  • Independent Component Analysis: Principles and Practice

    Stephen Roberts;Richard Everson

  • Stochastic complexity measures for physiological signal analysis

    I.A. Rezek;S.J. Roberts

  • Bayesian approaches to Gaussian mixture modeling

    S.J. Roberts;D. Husmeier;I. Rezek;W. Penny

  • A review of parametric modelling techniques for EEG analysis

    J. Pardey;S. Roberts;L. Tarassenko

  • A Gaussian process framework for modelling stellar activity signals in radial velocity data

    Vinesh Rajpaul;Suzanne Aigrain;Michael A. Osborne;Steven Reece

  • A tutorial on variational Bayesian inference

    Charles W. Fox;Stephen J. Roberts

  • EEG-based communication: a pattern recognition approach

    W.D. Penny;S.J. Roberts;E.A. Curran;M.J. Stokes

  • Reality mining of animal social systems.

    Jens Krause;Stefan Krause;Robert Arlinghaus;Robert Arlinghaus;Ioannis Psorakis

  • Migration and stopover in a small pelagic seabird, the Manx shearwater Puffinus puffinus: insights from machine learning.

    T. Guilford;J. Meade;J. Willis;Richard A. Phillips

  • A probabilistic resource allocating network for novelty detection

    Stephen Roberts;Lionel Tarassenko

  • A global database of Holocene paleotemperature records

    Darrell Kaufman;Nicholas McKay;Cody Routson;Michael Erb

  • Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model

    Shuyu Lin;Ronald Clark;Robert Birke;Sandro Schonborn

  • DeepLOB: Deep Convolutional Neural Networks for Limit Order Books

    Zihao Zhang;Stefan Zohren;Stephen Roberts

  • Parametric and non-parametric unsupervised cluster analysis

    Stephen J. Roberts

  • Towards Real-Time Information Processing of Sensor Network Data Using Computationally Efficient Multi-output Gaussian Processes

    M. A. Osborne;S. J. Roberts;A. Rogers;S. D. Ramchurn

  • Novelty detection using extreme value statistics

    S.J. Roberts

  • Deep Reinforcement Learning for Trading

    Zihao Zhang;Stefan Zohren;Stephen Roberts

  • Artifact Processing in Computerized Analysis of Sleep EEG – A Review

    Peter Anderer;Stephen Roberts;Alois Schlögl;Georg Gruber

  • Human-agent collectives

    N. R. Jennings;L. Moreau;D. Nicholson;S. Ramchurn

Frequent Co-Authors

William D. Penny
William D. Penny University of East Anglia
Nicholas R. Jennings
Nicholas R. Jennings Loughborough University
Alex Rogers
Alex Rogers University of Oxford
Richard M. Everson
Richard M. Everson University of Exeter
Suzanne Aigrain
Suzanne Aigrain University of Oxford
Sarvapali D. Ramchurn
Sarvapali D. Ramchurn University of Southampton
Tim Guilford
Tim Guilford University of Oxford
Luc Moreau
Luc Moreau King's College London
Lionel Tarassenko
Lionel Tarassenko University of Oxford
Dirk Husmeier
Dirk Husmeier University of Glasgow

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 education can open up flexible and accessible paths into the field of Computer Science. For those looking to enter the workforce quickly or advance their careers, options like fastest online master's degree programs offer accelerated paths to a graduate credential, allowing you to gain in-demand skills in less time.

The job market values tech graduates, especially those with degrees recognized as the most in demand masters degrees. Specializing in fields such as data science, cybersecurity, or AI through a relevant online master’s can boost salary expectations and job prospects.

If you’re just starting or seeking foundational knowledge, 1 year associate degree programs online can quickly prepare you for entry-level roles or further study. These programs are ideal for building a solid base in computer science fundamentals with a flexible schedule.

Cost is often a deciding factor. By considering the most affordable online colleges, students can achieve their educational goals while minimizing debt, making quality computer science education more accessible than ever.

Best Scientists Citing Stephen J. Roberts

Trending Scientists

Recently Published Articles