What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Database
Jock D. Mackinlay mostly deals with Human–computer interaction, Visualization, User interface, Information visualization and Data visualization.
His Human–computer interaction study frequently involves adjacent topics like Cone.
Jock D. Mackinlay has researched Visualization in several fields, including Hierarchy, Structure, Web development, Web mining and Web-based simulation.
He has included themes like Computer graphics, Graphic design and Presentation in his User interface study.
His study on Information visualization also encompasses disciplines like
- Visual analytics, which have a strong connection to Geovisualization, Engineering drawing and Multimedia,
- Interactive visualization and related Visual communication.
His work is dedicated to discovering how Geovisualization, Interactive visual analysis are connected with Information retrieval and other disciplines.
His most cited work include:
- Readings in Information Visualization: Using Vision to Think (3044 citations)
- Automating the design of graphical presentations of relational information (1301 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?
Jock D. Mackinlay mostly deals with Computer graphics, User interface, Human–computer interaction, Artificial intelligence and Visualization.
In his study, Tree traversal is strongly linked to Interfacing, which falls under the umbrella field of User interface.
In Human–computer interaction, he works on issues like Presentation, which are connected to Graphic design.
His Artificial intelligence research incorporates themes from Computer vision and Natural language processing.
Visualization is a component of his Information visualization and Data visualization studies.
His Information visualization study combines topics in areas such as Visual analytics, Scientific visualization and Interactive visualization.
He most often published in these fields:
- Computer graphics (22.35%)
- User interface (21.23%)
- Human–computer interaction (20.11%)
What were the highlights of his more recent work (between 2010-2021)?
- Data visualization (12.29%)
- Computer graphics (22.35%)
- Set (8.94%)
In recent papers he was focusing on the following fields of study:
Jock D. Mackinlay spends much of his time researching Data visualization, Computer graphics, Set, Visualization and Chart.
The study incorporates disciplines such as Information visualization, Data field and Human–computer interaction in addition to Data visualization.
His studies examine the connections between Information visualization and genetics, as well as such issues in Data science, with regards to Visual analytics, Data exploration and Computer graphics.
His study looks at the relationship between Computer graphics and topics such as User interface, which overlap with Field.
His research in Set intersects with topics in Value, Process and Information retrieval.
His studies deal with areas such as Query language, Icon and Domain as well as Visualization.
Between 2010 and 2021, his most popular works were:
- Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations (241 citations)
- Storytelling: The Next Step for Visualization (198 citations)
- Voyager 2: Augmenting Visual Analysis with Partial View Specifications (107 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Database
Visualization, Data visualization, Human–computer interaction, Data field and Data science are his primary areas of study.
Jock D. Mackinlay interconnects Query language and Domain in the investigation of issues within Visualization.
His Data visualization course of study focuses on Information visualization and Interactive visualization.
His research integrates issues of Mashup, Data warehouse, Data integration, Database and Data cube in his study of Human–computer interaction.
Set and Information retrieval is closely connected to Data mining in his research, which is encompassed under the umbrella topic of Data field.
His Data science research includes elements of User interface and Data exploration.
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