World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
5942
World Ranking
8511
National Ranking
512

Jason Dykes 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 Jason Dykes 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: 175 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Jason Dykes 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 Jason Dykes 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Jason Dykes is affiliated with City, University of London in the United Kingdom. Their research primarily spans the fields of Computer Science and Social Sciences, with key focus areas in Computer Vision and Pattern Recognition, Artificial Intelligence, and Information Systems and Management. The scientist's work also intersects with Sociology and Political Science as well as Signal Processing.

The main topics of Jason Dykes' research include:

  • Data Visualization and Analytics
  • Data Analysis with R
  • Scientific Computing and Data Management
  • Geographic Information Systems Studies
  • Data Management and Algorithms
  • Anomaly Detection Techniques and Applications
  • Mental Health Research Topics

Jason Dykes has contributed to multiple publications, with a notable presence in the following venues:

  • IEEE Transactions on Visualization and Computer Graphics
  • arXiv (Cornell University)
  • Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • Epidemics
  • ISPRS International Journal of Geo-Information

Recent papers authored or co-authored by Jason Dykes include the following:

  • Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations, 2022, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • Challenges and Opportunities in Data Visualization Education: A Call to Action, 2023, IEEE Transactions on Visualization and Computer Graphics
  • RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses, 2022, Epidemics
  • Design Exposition Discussion Documents for Rich Design Discourse in Applied Visualization, 2020, IEEE Transactions on Visualization and Computer Graphics
  • RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses, 2020, arXiv (Cornell University)

Frequent collaborators in Jason Dykes' research include:

  • Benjamin Bach
  • Robert S. Laramee
  • Jonathan C. Roberts
  • Jo Wood
  • Aidan Slingsby

Best Publications

  • Space, time and visual analytics

    Gennady Andrienko;Natalia Andrienko;Urska Demsar;Doris Dransch

  • Visualisation of Origins, Destinations and Flows with OD Maps

    Jo Wood;Jason Dykes;Aidan Slingsby

  • Interactive Visual Exploration of a Large Spatio-temporal Dataset: Reflections on a Geovisualization Mashup.

    J. Wood;J. Dykes;A. Slingsby;K. Clarke

  • Exploring spatial data representation with dynamic graphics

    Jason A. Dykes

  • Spatially Ordered Treemaps

    J. Wood;J. Dykes

  • Geovisualization of dynamics, movement and change: key issues and developing approaches in visualization research

    Gennady Andrienko;Natalia Andrienko;Jason Dykes;Sara Irina Fabrikant

  • Visualizing the Dynamics of London's Bicycle-Hire Scheme

    Jo Wood;Aidan Slingsby;Jason Dykes

  • Seeking structure in records of spatio-temporal behaviour: visualization issues, efforts and applications

    J. A. Dykes;D. M. Mountain

  • Human-Centered Approaches in Geovisualization Design: Investigating Multiple Methods Through a Long-Term Case Study

    D. Lloyd;J. Dykes

  • Criteria for Rigor in Visualization Design Study

    Miriah Meyer;Jason Dykes

  • Representation and Its Relationship with Cartographic Visualization

    David Fairbairn;Gennady Andrienko;Natalia Andrienko;Gerd Buziek

  • Visual analysis of pressure in football

    Gennady L. Andrienko;Gennady L. Andrienko;Natalia V. Andrienko;Natalia V. Andrienko;Guido Budziak;Jason Dykes

  • Sketchy Rendering for Information Visualization

    J. Wood;P. Isenberg;T. Isenberg;J. Dykes

  • Configuring Hierarchical Layouts to Address Research Questions

    A. Slingsby;J. Dykes;J. Wood

  • Virtual environments for student fieldwork using networked components

    Jason Dykes;Kate Moore;Jo Wood

  • Creative User-Centered Visualization Design for Energy Analysts and Modelers

    Sarah Goodwin;Jason Dykes;Sara Jones;Iain Dillingham

  • Cartographic visualization: exploratory spatial data analysis with local indicators of spatial association using Tcl/Tk and cdv

    J. Dykes

  • Using Java to interact with geo—referenced VRML within a virtual field course

    Kate Moore;Jason Dykes;Jo Wood

  • Interactive Tag Maps and Tag Clouds for the Multiscale Exploration of Large Spatio-temporal Datasets

    A. Slingsby;J. Dykes;J. Wood;K. Clarke

  • Geographically Weighted Visualization: Interactive Graphics for Scale-Varying Exploratory Analysis

    J. Dykes;C. Brunsdon

  • Space and time

    G. Andrienko;N. Andrienko;H. Schumann;C. Tominski

  • of a Large Spatio-Temporal Dataset: Reflections on a Geovisualization Mashup

    Jo Wood;Jason Dykes;Aidan Slingsby;Keith Clarke

Frequent Co-Authors

Jo Wood
Jo Wood City, University of London
Gennady Andrienko
Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Natalia Andrienko
Natalia Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Menno-Jan Kraak
Menno-Jan Kraak University of Twente
Sara Irina Fabrikant
Sara Irina Fabrikant University of Zurich
Heidrun Schumann
Heidrun Schumann University of Rostock
Miriah Meyer
Miriah Meyer University of Utah
Peter Fisher
Peter Fisher University of Liverpool
Keith C. Clarke
Keith C. Clarke University of California, Santa Barbara
Mark D. Plumbley
Mark D. Plumbley King's College London

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