H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 30 Citations 4,596 112 World Ranking 8864 National Ranking 524

Overview

What is he best known for?

The fields of study he is best known for:

  • Software
  • Artificial intelligence
  • Programming language

Visualization, Data visualization, Geovisualization, Graphics and Human–computer interaction are his primary areas of study. His Visualization research includes elements of Cartography, Information overload and Data science. His biological study spans a wide range of topics, including Agile software development and User interface.

His work carried out in the field of Data visualization brings together such families of science as Statistical graphics, Information visualization and Rendering. His Geovisualization research is multidisciplinary, incorporating perspectives in Visual analytics, Representation and Geographic information system. His Graphics study which covers Spatial analysis that intersects with Transient, Graphical user interface and Scripting language.

His most cited work include:

  • Space, time and visual analytics (297 citations)
  • Interactive Visual Exploration of a Large Spatio-temporal Dataset: Reflections on a Geovisualization Mashup. (181 citations)
  • Exploring spatial data representation with dynamic graphics (165 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Visualization, Data science, Geovisualization, Human–computer interaction and Data visualization. Jason Dykes works mostly in the field of Visualization, limiting it down to topics relating to Graphics and, in certain cases, Scale. His study looks at the intersection of Data science and topics like Visual analytics with Analytics.

His work in Geovisualization addresses subjects such as Geographic information system, which are connected to disciplines such as Information retrieval. His Human–computer interaction study incorporates themes from Interactive visualization, Space, Spatial analysis and Computer graphics. His Data visualization study frequently draws connections to other fields, such as Multimedia.

He most often published in these fields:

  • Visualization (45.56%)
  • Data science (36.09%)
  • Geovisualization (26.04%)

What were the highlights of his more recent work (between 2014-2021)?

  • Visualization (45.56%)
  • Data science (36.09%)
  • Human–computer interaction (19.53%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Visualization, Data science, Human–computer interaction, Data visualization and Data mining. His Visualization study frequently links to related topics such as Engineering design process. His studies in Data science integrate themes in fields like Domain and Reflection.

His study on Human–computer interaction also encompasses disciplines like

  • Relation and related Scale, Interactivity, Analytics and Graphics,
  • Task which intersects with area such as Scope and Knowledge management. Jason Dykes has researched Data visualization in several fields, including Reflexivity, Engineering ethics and Social constructionism. His research in Data mining is mostly focused on Geovisualization.

Between 2014 and 2021, his most popular works were:

  • Visual analysis of pressure in football (37 citations)
  • Criteria for Rigor in Visualization Design Study (34 citations)
  • Visualizing Multiple Variables Across Scale and Geography (32 citations)

In his most recent research, the most cited papers focused on:

  • Software
  • Artificial intelligence
  • Programming language

Jason Dykes spends much of his time researching Visualization, Data visualization, Data mining, Geovisualization and Variable. His Visualization study combines topics in areas such as Data science, Domain, Human–computer interaction and Engineering design process. His Data visualization research integrates issues from Reflexivity, Engineering ethics and Social constructionism.

His study in Data mining is interdisciplinary in nature, drawing from both Spatial analysis, Set and Feature selection. His Geovisualization study integrates concerns from other disciplines, such as Geospatial analysis and Choropleth map. His research in Variable intersects with topics in Simulated annealing, Scale, Theoretical computer science, Multivariate analysis and Multivariate statistics.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Space, time and visual analytics

Gennady Andrienko;Natalia Andrienko;Urska Demsar;Doris Dransch.
International Journal of Geographical Information Science (2010)

508 Citations

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

J. Wood;J. Dykes;A. Slingsby;K. Clarke.
IEEE Transactions on Visualization and Computer Graphics (2007)

276 Citations

Exploring spatial data representation with dynamic graphics

Jason A. Dykes.
Computers & Geosciences (1997)

250 Citations

Visualisation of Origins, Destinations and Flows with OD Maps

Jo Wood;Jason Dykes;Aidan Slingsby.
Cartographic Journal (2010)

243 Citations

Spatially Ordered Treemaps

J. Wood;J. Dykes.
IEEE Transactions on Visualization and Computer Graphics (2008)

211 Citations

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

Gennady Andrienko;Natalia Andrienko;Jason Dykes;Sara Irina Fabrikant.
Information Visualization (2008)

191 Citations

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

J. A. Dykes;D. M. Mountain.
Computational Statistics & Data Analysis (2003)

184 Citations

Visualizing the Dynamics of London's Bicycle-Hire Scheme

Jo Wood;Aidan Slingsby;Jason Dykes.
Cartographica: The International Journal for Geographic Information and Geovisualization (2011)

169 Citations

Representation and Its Relationship with Cartographic Visualization

David Fairbairn;Gennady Andrienko;Natalia Andrienko;Gerd Buziek.
Cartography and Geographic Information Science (2001)

141 Citations

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

D. Lloyd;J. Dykes.
IEEE Transactions on Visualization and Computer Graphics (2011)

133 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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

Contact us

Top Scientists Citing Jason Dykes

Natalia Andrienko

Natalia Andrienko

Fraunhofer Society

Publications: 73

Gennady Andrienko

Gennady Andrienko

Fraunhofer Institute for Intelligent Analysis and Information Systems

Publications: 72

Alan M. MacEachren

Alan M. MacEachren

Pennsylvania State University

Publications: 31

Huamin Qu

Huamin Qu

Hong Kong University of Science and Technology

Publications: 28

Daniel A. Keim

Daniel A. Keim

University of Konstanz

Publications: 24

Menno-Jan Kraak

Menno-Jan Kraak

University of Twente

Publications: 24

Tamara Munzner

Tamara Munzner

University of British Columbia

Publications: 23

Wei Chen

Wei Chen

Zhejiang University

Publications: 21

Ross Maciejewski

Ross Maciejewski

Arizona State University

Publications: 17

Tobias Schreck

Tobias Schreck

Graz University of Technology

Publications: 13

Sheelagh Carpendale

Sheelagh Carpendale

Simon Fraser University

Publications: 12

Niklas Elmqvist

Niklas Elmqvist

University of Maryland, College Park

Publications: 12

Daniel Weiskopf

Daniel Weiskopf

University of Stuttgart

Publications: 11

Lionel M. Ni

Lionel M. Ni

Hong Kong University of Science and Technology

Publications: 11

Kwan-Liu Ma

Kwan-Liu Ma

University of California, Davis

Publications: 11

Something went wrong. Please try again later.