What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Programming language
- Machine learning
Helen C. Purchase focuses on Graph drawing, Theoretical computer science, Algorithm, Graph and Graph Layout.
Her Graph drawing study deals with the bigger picture of Artificial intelligence.
Her studies deal with areas such as Simulated annealing, Machine learning, Binary number and Architectural engineering as well as Artificial intelligence.
Her Algorithm study incorporates themes from Information visualization, Graph rewriting and Word error rate.
Her Graph research is multidisciplinary, incorporating elements of Mental mapping and Comprehension.
The study incorporates disciplines such as Unified Modeling Language and Usability in addition to Graph Layout.
Her most cited work include:
- Which Aesthetic has the Greatest Effect on Human Understanding (412 citations)
- Cognitive measurements of graph aesthetics (293 citations)
- Metrics for Graph Drawing Aesthetics (198 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of study are Graph drawing, Theoretical computer science, Artificial intelligence, Visualization and Human–computer interaction.
Her Graph drawing research is multidisciplinary, incorporating perspectives in Algorithm, Information visualization, Graph and Usability.
Her Usability research incorporates elements of Relational database and Unified Modeling Language.
Helen C. Purchase combines subjects such as Animation, Comprehension, Word error rate, Graph Layout and Mental mapping with her study of Theoretical computer science.
Her studies in Artificial intelligence integrate themes in fields like Machine learning, Computer vision and Natural language processing.
Her work deals with themes such as Salient and Perception, which intersect with Visualization.
She most often published in these fields:
- Graph drawing (29.71%)
- Theoretical computer science (21.01%)
- Artificial intelligence (15.22%)
What were the highlights of her more recent work (between 2017-2021)?
- Graph drawing (29.71%)
- Visualization (15.22%)
- Empirical research (13.04%)
In recent papers she was focusing on the following fields of study:
Her scientific interests lie mostly in Graph drawing, Visualization, Empirical research, Algorithm and Turing test.
Her work investigates the relationship between Graph drawing and topics such as Information visualization that intersect with problems in Readability and Information retrieval.
Her Visualization research integrates issues from Symmetry, Perception and Rotational symmetry.
Her study in Algorithm is interdisciplinary in nature, drawing from both Graph size and Scaling.
Her Vocabulary research integrates issues from Theoretical computer science and Data visualization.
Her Theoretical computer science study incorporates themes from Clustering coefficient and Cluster analysis.
Between 2017 and 2021, her most popular works were:
- Exploring the limits of complexity: A survey of empirical studies on graph visualisation (22 citations)
- The Perception of Graph Properties in Graph Layouts (12 citations)
- Peer-Review in Practice: Eight Years of Aropä. (6 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Machine learning
Mathematics education, Visualization, Graph drawing, Pedagogy and Electronic learning are her primary areas of study.
Her studies in Mathematics education integrate themes in fields like Variety and Period.
Her Visualization study integrates concerns from other disciplines, such as Salient and Symmetry.
She incorporates Graph drawing and Empirical research in her studies.
Her Pedagogy investigation overlaps with Peer evaluation, Position, Statistical analysis and Field.
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