2026 Jason Dykes: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	42	8512	8273	515	508	175	5942

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

600
Citations
Visualisation of Origins, Destinations and Flows with OD Maps

Jo Wood;Jason Dykes;Aidan Slingsby

293
Citations
Interactive Visual Exploration of a Large Spatio-temporal Dataset: Reflections on a Geovisualization Mashup.

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

291
Citations
Exploring spatial data representation with dynamic graphics

Jason A. Dykes

256
Citations
Spatially Ordered Treemaps

J. Wood;J. Dykes

228
Citations
Geovisualization of dynamics, movement and change: key issues and developing approaches in visualization research

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

217
Citations
Visualizing the Dynamics of London's Bicycle-Hire Scheme

Jo Wood;Aidan Slingsby;Jason Dykes

188
Citations
Seeking structure in records of spatio-temporal behaviour: visualization issues, efforts and applications

J. A. Dykes;D. M. Mountain

187
Citations
Human-Centered Approaches in Geovisualization Design: Investigating Multiple Methods Through a Long-Term Case Study

D. Lloyd;J. Dykes

161
Citations
Criteria for Rigor in Visualization Design Study

Miriah Meyer;Jason Dykes

155
Citations
Representation and Its Relationship with Cartographic Visualization

David Fairbairn;Gennady Andrienko;Natalia Andrienko;Gerd Buziek

149
Citations
Visual analysis of pressure in football

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

132
Citations
Sketchy Rendering for Information Visualization

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

122
Citations
Configuring Hierarchical Layouts to Address Research Questions

A. Slingsby;J. Dykes;J. Wood

118
Citations
Virtual environments for student fieldwork using networked components

Jason Dykes;Kate Moore;Jo Wood

111
Citations
Creative User-Centered Visualization Design for Energy Analysts and Modelers

Sarah Goodwin;Jason Dykes;Sara Jones;Iain Dillingham

104
Citations
Cartographic visualization: exploratory spatial data analysis with local indicators of spatial association using Tcl/Tk and cdv

J. Dykes

96
Citations
Using Java to interact with geo—referenced VRML within a virtual field course

Kate Moore;Jason Dykes;Jo Wood

93
Citations
Interactive Tag Maps and Tag Clouds for the Multiscale Exploration of Large Spatio-temporal Datasets

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

91
Citations
Geographically Weighted Visualization: Interactive Graphics for Scale-Varying Exploratory Analysis

J. Dykes;C. Brunsdon

89
Citations
Space and time

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

3
Citations
of a Large Spatio-Temporal Dataset: Reflections on a Geovisualization Mashup

Jo Wood;Jason Dykes;Aidan Slingsby;Keith Clarke

0
Citations

Frequent Co-Authors

Jo Wood City, University of London

Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems

Natalia Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems

Menno-Jan Kraak University of Twente

Sara Irina Fabrikant University of Zurich

Heidrun Schumann University of Rostock

Miriah Meyer University of Utah

Peter Fisher University of Liverpool

Keith C. Clarke University of California, Santa Barbara

Mark D. Plumbley King's College London

External Links

Personal website of Jason Dykes Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Interested in expanding your tech skills beyond Computer Science? There are numerous online degree options and certification programs that can enhance your career opportunities in the USA. For example, online physics degrees are an excellent choice if you’re keen on a deeper understanding of computation and the physical sciences.

The data sector is booming, and earning one of the data science degrees can lead to diverse, high-demand roles in analytics, AI, and business intelligence. If you are more interested in hardware, systems, and innovation, consider the online electrical engineering courses USA to further diversify your technical skillset.

For those preferring quicker entry into the workforce or career advancement, there are also easy certifications to get that can offer high earning potential without a long-term commitment. Exploring these related options allows you to tailor your education and career journey to fit your individual interests and goals.