2026 Jo Wood: 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	38	10409	10117	656	648	119	4534

Overview

Jo Wood is affiliated with City, University of London in the United Kingdom. Their research primarily spans the fields of Computer Science and Social Sciences, with a focus on subfields such as Computer Vision and Pattern Recognition, Sociology and Political Science, Artificial Intelligence, Information Systems and Management, and Transportation.

The main topics of their work include:

Data Visualization and Analytics
Data Analysis with R
Scientific Computing and Data Management
Data Management and Algorithms
Participatory Visual Research Methods
Media Influence and Health
Focus Groups and Qualitative Methods

Jo Wood has published recent papers on various aspects of visualization and epidemiological modelling. These include:

"Structure and Empathy in Visual Data Storytelling: Evaluating their Influence on Attitude" (2020), published in Computer Graphics Forum
"RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses" (2022), published in Epidemics
"Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations" (2022), published in Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
"RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses" (2020), published in arXiv (Cornell University)
"Evaluation of bicycle sharing scheme data as a proxy for cycling mobility - How COVID-19 measures influenced cycling in Paris" (2023), published in Transportation Research Interdisciplinary Perspectives

Their frequent coauthors include:

Jason Dykes
Benjamin Bach
Panagiotis D. Ritsos
Aidan Slingsby
Jonathan C. Roberts

Jo Wood has contributed to publications in venues such as:

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
IEEE Transactions on Visualization and Computer Graphics
arXiv (Cornell University)
Computer Graphics Forum
Epidemics

Best Publications

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
Where is Helvellyn? Fuzziness of multi‐scale landscape morphometry

Peter Fisher;Jo Wood;Tao Cheng

279
Citations
Spatially Ordered Treemaps

J. Wood;J. Dykes

228
Citations
Assessing interpolation accuracy in elevation models

J.D. Wood;P.F. Fisher

215
Citations
Exploring gendered cycling behaviours within a large-scale behavioural data-set

Roger Beecham;Jo Wood

191
Citations
Visualizing the Dynamics of London's Bicycle-Hire Scheme

Jo Wood;Aidan Slingsby;Jason Dykes

188
Citations
Geospatial Information Visualization User Interface Issues

William Cartwright;Jeremy Crampton;Georg Gartner;Suzette Miller

163
Citations
State of the Art of Sports Data Visualization

Charles Perin;Charles Perin;Romain Vuillemot;Charles D. Stolper;John T. Stasko

161
Citations
Revealing Patterns and Trends of Mass Mobility Through Spatial and Temporal Abstraction of Origin-Destination Movement Data

Gennady Andrienko;Natalia Andrienko;Georg Fuchs;Jo Wood

147
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
Visualizing uncertainty in multi-spectral remotely sensed imagery

Lucy Bastin;Peter F. Fisher;Jo Wood

102
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
Describing place through user generated content

Ross S Purves;Alistair J Edwardes;Jo Wood

88
Citations
Exploring Uncertainty in Geodemographics with Interactive Graphics

A. Slingsby;J. Dykes;J. Wood

84
Citations
Rethinking Map Legends with Visualization

Jason Dykes;Jo Wood;Aidan Slingsby

78
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

Jason Dykes City, University of London

Peter Fisher University of Liverpool

Bettina Speckmann Eindhoven University of Technology

Keith C. Clarke University of California, Santa Barbara

Ross S. Purves University of Zurich

Benjamin Bach University of Edinburgh

Helwig Hauser University of Bergen

Menno-Jan Kraak University of Twente

Franck Vidal Aix-Marseille University

Barbara Tversky Columbia University

External Links

Personal website of Jo Wood

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