D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 33 Citations 4,658 172 World Ranking 8719 National Ranking 151

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Algorithm

The scientist’s investigation covers issues in Visualization, Eye tracking, Artificial intelligence, Data visualization and Human–computer interaction. His Visualization research is multidisciplinary, incorporating perspectives in Sequence and Theoretical computer science. His research investigates the connection between Eye tracking and topics such as Visual analytics that intersect with issues in Field and Psychological research.

Michael Burch has included themes like Tree and Computer vision in his Artificial intelligence study. In his study, which falls under the umbrella issue of Data visualization, Computer graphics, Multiple edges, Graphics and Vertex is strongly linked to Graph theory. The Human–computer interaction study which covers Information visualization that intersects with State.

His most cited work include:

  • A Taxonomy and Survey of Dynamic Graph Visualization (161 citations)
  • The State of the Art in Visualizing Dynamic Graphs (143 citations)
  • State-of-the-Art of Visualization for Eye Tracking Data (140 citations)

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

Michael Burch mainly investigates Visualization, Eye tracking, Artificial intelligence, Theoretical computer science and Data visualization. His Visualization study integrates concerns from other disciplines, such as Software visualization and Human–computer interaction. His study looks at the intersection of Eye tracking and topics like Visual analytics with Analytics.

His Artificial intelligence study incorporates themes from Computer vision and Pattern recognition. His Theoretical computer science research includes elements of Scalability, Graph drawing and Null graph. In Data visualization, Michael Burch works on issues like Tree, which are connected to Pixel and Timeline.

He most often published in these fields:

  • Visualization (54.02%)
  • Eye tracking (32.76%)
  • Artificial intelligence (30.46%)

What were the highlights of his more recent work (between 2018-2021)?

  • Visualization (54.02%)
  • Eye tracking (32.76%)
  • Information visualization (20.11%)

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

His scientific interests lie mostly in Visualization, Eye tracking, Information visualization, Artificial intelligence and Eye movement. He combines subjects such as Test, Hierarchical database model and Scalability with his study of Visualization. His Eye tracking research is multidisciplinary, incorporating elements of Web application, Field and Human–computer interaction.

His Information visualization study combines topics from a wide range of disciplines, such as Visual analytics, Data visualization and Interactive visualization. He has researched Artificial intelligence in several fields, including Computer vision and Pattern recognition. While the research belongs to areas of Eye movement, he spends his time largely on the problem of Visual search, intersecting his research to questions surrounding Directed graph and Graph Layout.

Between 2018 and 2021, his most popular works were:

  • An interactive web-based visual analytics tool for detecting strategic eye movement patterns (6 citations)
  • Clustered eye movement similarity matrices (6 citations)
  • Finding the outliers in scanpath data (6 citations)

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

  • Artificial intelligence
  • Statistics
  • Algorithm

Michael Burch spends much of his time researching Visualization, Information visualization, Eye tracking, Visual analytics and Eye movement. Particularly relevant to Data visualization is his body of work in Visualization. His studies in Information visualization integrate themes in fields like Hierarchical database model and Layout algorithm.

In his research on the topic of Eye tracking, Analytics, Web page and Dynamic web page is strongly related with Human–computer interaction. His Visual analytics study also includes

  • Visual search, which have a strong connection to Directed graph, Graph Layout, Computer vision and Creative visualization,
  • Interactive visualization, which have a strong connection to JavaScript, World Wide Web, Upload and Web application. Eye movement is a primary field of his research addressed under Artificial intelligence.

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.

Best Publications

State-of-the-Art of Visualization for Eye Tracking Data

Tanja Blascheck;Kuno Kurzhals;Michael Raschke;Michael Burch.
EuroVis (STARs) (2014)

315 Citations

A Taxonomy and Survey of Dynamic Graph Visualization

Fabian Beck;Michael Burch;Stephan Diehl;Daniel Weiskopf.
Computer Graphics Forum (2017)

281 Citations

The State of the Art in Visualizing Dynamic Graphs

Fabian Beck;Michael Burch;Stephan Diehl;Daniel Weiskopf.
EuroVis (STARs) (2014)

269 Citations

Visual Analytics Methodology for Eye Movement Studies

G. Andrienko;N. Andrienko;M. Burch;D. Weiskopf.
IEEE Transactions on Visualization and Computer Graphics (2012)

249 Citations

Visualization of Eye Tracking Data: A Taxonomy and Survey

Tanja Blascheck;Kuno Kurzhals;Michael Raschke;Michael Burch.
Computer Graphics Forum (2017)

228 Citations

Parallel Edge Splatting for Scalable Dynamic Graph Visualization

M. Burch;C. Vehlow;F. Beck;S. Diehl.
IEEE Transactions on Visualization and Computer Graphics (2011)

210 Citations

Evaluation of Traditional, Orthogonal, and Radial Tree Diagrams by an Eye Tracking Study

M. Burch;N. Konevtsova;J. Heinrich;M. Hoeferlin.
IEEE Transactions on Visualization and Computer Graphics (2011)

172 Citations

Timeradartrees: visualizing dynamic compound digraphs

M. Burch;S. Diehl.
ieee vgtc conference on visualization (2008)

126 Citations

User performance and reading strategies for metro maps: An eye tracking study

Rudolf Netzel;Bettina Ohlhausen;Kuno Kurzhals;Robin Woods.
Spatial Cognition and Computation (2017)

119 Citations

Visualizing the evolution of compound digraphs with TimeArcTrees

Martin Greilich;Michael Burch;Stephan Diehl.
ieee vgtc conference on visualization (2009)

105 Citations

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