What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Operating system
- Human–computer interaction
Sheelagh Carpendale mainly focuses on Visualization, Information visualization, Human–computer interaction, Data science and Visual analytics.
Her Visualization research incorporates elements of Theoretical computer science, World Wide Web, Constructionism and Taxonomy.
Her Information visualization research includes themes of Interactive visualization, Constructivism, Data visualization and Visual literacy.
As part of one scientific family, Sheelagh Carpendale deals mainly with the area of Data visualization, narrowing it down to issues related to the Interaction design, and often Information science.
Her Human–computer interaction research integrates issues from Variety, Multimedia and User interface.
Her studies examine the connections between Data science and genetics, as well as such issues in Cognition, with regards to Perception and Uncertainty analysis.
Her most cited work include:
- Empirical Studies in Information Visualization: Seven Scenarios (384 citations)
- Sketching user experiences (172 citations)
- Beyond Mouse and Keyboard: Expanding Design Considerations for Information Visualization Interactions (156 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of study are Visualization, Human–computer interaction, Information visualization, Multimedia and Data visualization.
Her work deals with themes such as Theoretical computer science, World Wide Web, Data science and Computer graphics, which intersect with Visualization.
She incorporates Data science and Qualitative research in her studies.
Her Human–computer interaction research is multidisciplinary, incorporating elements of Variety, User interface, Interface and Interactive visualization.
Much of her study explores Information visualization relationship to Graph drawing.
Data visualization is closely attributed to Computer graphics in her study.
She most often published in these fields:
- Visualization (38.46%)
- Human–computer interaction (34.41%)
- Information visualization (24.29%)
What were the highlights of her more recent work (between 2016-2021)?
- Visualization (38.46%)
- Data visualization (15.79%)
- Information visualization (24.29%)
In recent papers she was focusing on the following fields of study:
Sheelagh Carpendale spends much of her time researching Visualization, Data visualization, Information visualization, Data science and Human–computer interaction.
Her studies deal with areas such as Interaction technique, Perspective, Set and Visual arts as well as Visualization.
Her work carried out in the field of Data visualization brings together such families of science as Open data, World Wide Web, Zoom and Computer graphics.
The study incorporates disciplines such as Theoretical computer science, Engineering drawing, Annotation, Multimedia and Physical visualization in addition to Information visualization.
Her Data science research is multidisciplinary, incorporating perspectives in Dependency and Gesture.
The concepts of her Human–computer interaction study are interwoven with issues in Interactive visualization, Space, Patient Generated Data and Design tool.
Between 2016 and 2021, her most popular works were:
- A Descriptive Framework for Temporal Data Visualizations Based on Generalized Space-Time Cubes (70 citations)
- Data-Driven Storytelling (37 citations)
- Self-Reflection and Personal Physicalization Construction (34 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Software
Sheelagh Carpendale focuses on Data visualization, Visualization, Information visualization, Human–computer interaction and Data science.
Sheelagh Carpendale interconnects Eye tracking, Computer graphics, Design process and Design specification in the investigation of issues within Data visualization.
Her Visualization study combines topics in areas such as Interaction technique, Perspective, Think aloud protocol and Set.
The Information visualization study combines topics in areas such as Space, Multimedia, Theoretical computer science and World Wide Web.
Her biological study spans a wide range of topics, including Interactive visualization, Special Interest Group and Visual communication.
Her Data science research includes elements of Range, Data mapping, Task analysis and Interaction design.
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