What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Microsoft Windows
- Human–computer interaction
Stuart K. Card focuses on Human–computer interaction, Information visualization, Visualization, Information access and Computer graphics.
In most of his Human–computer interaction studies, his work intersects topics such as Perceptual system.
Stuart K. Card has included themes like Visual analytics, Data visualization and Interactive visualization in his Information visualization study.
His Visualization study combines topics from a wide range of disciplines, such as Perspective and Personalization.
The Information access study combines topics in areas such as Web page, Relation and Sensemaking, Knowledge management.
His work carried out in the field of Computer graphics brings together such families of science as Object, Computer vision and Artificial intelligence.
His most cited work include:
- The Psychology of Human-Computer Interaction (3864 citations)
- Readings in Information Visualization: Using Vision to Think (3044 citations)
- Cone Trees: animated 3D visualizations of hierarchical information (1150 citations)
What are the main themes of his work throughout his whole career to date?
Stuart K. Card spends much of his time researching Human–computer interaction, World Wide Web, Artificial intelligence, Information visualization and Computer graphics.
When carried out as part of a general Human–computer interaction research project, his work on User interface design is frequently linked to work in Interface, therefore connecting diverse disciplines of study.
In the field of World Wide Web, his study on Information foraging, Web navigation and Information access overlaps with subjects such as Focus and Digital library.
Within one scientific family, Stuart K. Card focuses on topics pertaining to Visual analytics under Information visualization, and may sometimes address concerns connected to Interactive visualization and Geovisualization.
His Computer graphics research incorporates themes from Object, Row, Column and Table.
His studies deal with areas such as Tree, Structure and Theoretical computer science as well as Visualization.
He most often published in these fields:
- Human–computer interaction (30.41%)
- World Wide Web (18.71%)
- Artificial intelligence (16.96%)
What were the highlights of his more recent work (between 2002-2018)?
- World Wide Web (18.71%)
- Artificial intelligence (16.96%)
- Human–computer interaction (30.41%)
In recent papers he was focusing on the following fields of study:
Stuart K. Card mostly deals with World Wide Web, Artificial intelligence, Human–computer interaction, Sensemaking and Information visualization.
While the research belongs to areas of World Wide Web, Stuart K. Card spends his time largely on the problem of Multimedia, intersecting his research to questions surrounding Web navigation, Web intelligence, Social Semantic Web and Web 2.0.
His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Information retrieval and Natural language processing.
His Human–computer interaction study combines topics in areas such as Attention shifting and Communication.
As part of the same scientific family, Stuart K. Card usually focuses on Sensemaking, concentrating on Data science and intersecting with Decision model and Task analysis.
His Information visualization research integrates issues from Tree and Computer vision.
Between 2002 and 2018, his most popular works were:
- prefuse: a toolkit for interactive information visualization (759 citations)
- Systems and methods for turning pages in a three-dimensional electronic document (187 citations)
- The effects of information scent on visual search in the hyperbolic tree browser (86 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Microsoft Windows
- World Wide Web
The scientist’s investigation covers issues in World Wide Web, Visualization, Interactive visualization, Tree and Information visualization.
His work on Collaborative software and Information needs as part of his general World Wide Web study is frequently connected to Intelligence analysis, Computer-supported cooperative work and Extensive reading, thereby bridging the divide between different branches of science.
His Visualization research includes themes of Usability and Personalization.
His Interactive visualization research includes elements of Scalability, Electronic publishing and Multimedia.
The concepts of his Tree study are interwoven with issues in Hierarchical database model, Information retrieval and Artificial intelligence.
Information visualization and Human–computer interaction are commonly linked in his work.
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