What is he best known for?
The fields of study he is best known for:
- Programming language
- Artificial intelligence
- Algorithm
Kim Marriott focuses on Theoretical computer science, Programming language, Visualization, Semantics and Human–computer interaction.
In general Theoretical computer science, his work in Abstract interpretation is often linked to Computer communication networks linking many areas of study.
His work deals with themes such as Constraint satisfaction, Constraint programming and Artificial intelligence, which intersect with Programming language.
His research integrates issues of Affordance, Graph theory and Virtual reality in his study of Visualization.
His study in Semantics is interdisciplinary in nature, drawing from both Signal programming, Visual language and Parsing, Natural language processing.
In his study, which falls under the umbrella issue of Human–computer interaction, Analytics, Immersive technology, Usability and Augmented reality is strongly linked to Multimedia.
His most cited work include:
- Unification revisited (299 citations)
- Diagrammatic Representation and Inference (243 citations)
- The Semantics of Constraint Logic Programs (193 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Programming language, Theoretical computer science, Human–computer interaction, Constraint logic programming and Constraint programming.
His Programming language study frequently links to adjacent areas such as Artificial intelligence.
Kim Marriott combines subjects such as Visualization, Graph, Algorithm and Graph with his study of Theoretical computer science.
The concepts of his Algorithm study are interwoven with issues in Graph drawing, Mathematical optimization and Table.
As a part of the same scientific family, Kim Marriott mostly works in the field of Human–computer interaction, focusing on Data visualization and, on occasion, Information visualization.
His studies deal with areas such as Solver, Compiler and Constraint satisfaction problem as well as Constraint logic programming.
He most often published in these fields:
- Programming language (27.50%)
- Theoretical computer science (20.36%)
- Human–computer interaction (15.36%)
What were the highlights of his more recent work (between 2017-2021)?
- Human–computer interaction (15.36%)
- Data visualization (7.50%)
- Visualization (10.36%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Human–computer interaction, Data visualization, Visualization, Graphics and Virtual reality.
His Human–computer interaction research is multidisciplinary, relying on both Visual analytics, User interface, Interface and Gesture.
Kim Marriott has researched Data visualization in several fields, including Data access and Information visualization.
His Visualization research includes themes of Scalability, Theoretical computer science, Multimodal interaction, Graph and Mobile device.
Theoretical computer science and Workload are two areas of study in which he engages in interdisciplinary work.
The Virtual reality study combines topics in areas such as Immersion and Computer graphics.
Between 2017 and 2021, his most popular works were:
- Maps and globes in virtual reality (36 citations)
- Origin-Destination Flow Maps in Immersive Environments (34 citations)
- Accessible Maps for the Blind: Comparing 3D Printed Models with Tactile Graphics (31 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Artificial intelligence
- Algorithm
His primary areas of study are Human–computer interaction, Data visualization, Virtual reality, Visualization and Immersive analytics.
His Human–computer interaction research incorporates elements of Visual analytics, User interface, Analytics and Graphics.
His research is interdisciplinary, bridging the disciplines of Theoretical computer science and Data visualization.
His research investigates the connection between Virtual reality and topics such as Computer graphics that intersect with problems in Flow, Flow map, Dimension and Geovisualization.
His Visualization research focuses on subjects like Mobile device, which are linked to Multimodal interaction and Data access.
His Immersive analytics research incorporates themes from Immersion and Data science.
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