What is she best known for?
The fields of study she is best known for:
- Programming language
- Artificial intelligence
- Database
Juliana Freire focuses on Data science, Workflow, Visualization, World Wide Web and Provenance.
Her Data science research includes elements of Visual analytics, Disparate system and Computer graphics.
To a larger extent, Juliana Freire studies Database with the aim of understanding Workflow.
Juliana Freire focuses mostly in the field of Visualization, narrowing it down to topics relating to Metadata and, in certain cases, Flexibility, Information visualization and Data management.
Her Dynamic web page and Web application study in the realm of World Wide Web interacts with subjects such as Task and Software performance testing.
Her Data visualization study also includes
- Software system together with Scientific workflow system,
- Pipeline which is related to area like Scripting language, Dataflow, Formal specification, Software engineering and Component.
Her most cited work include:
- The Open Provenance Model core specification (v1.1) (560 citations)
- VisTrails: visualization meets data management (405 citations)
- Provenance for Computational Tasks: A Survey (388 citations)
What are the main themes of her work throughout her whole career to date?
Juliana Freire mainly investigates World Wide Web, Data science, Information retrieval, Workflow and Visualization.
Her Data science study incorporates themes from Data management and Reproducibility.
Juliana Freire has included themes like Metadata, Data mining, Structure, XML and Schema matching in her Information retrieval study.
Her Workflow study is concerned with the field of Database as a whole.
Her Visualization study frequently draws connections to adjacent fields such as Human–computer interaction.
Juliana Freire integrates Provenance and Programming language in her research.
She most often published in these fields:
- World Wide Web (21.25%)
- Data science (18.82%)
- Information retrieval (16.72%)
What were the highlights of her more recent work (between 2015-2021)?
- Data science (18.82%)
- Data mining (14.29%)
- Machine learning (5.57%)
In recent papers she was focusing on the following fields of study:
Juliana Freire mostly deals with Data science, Data mining, Machine learning, Artificial intelligence and Information retrieval.
She combines subjects such as Domain, Reproducibility, Visualization, Key and Workflow with her study of Data science.
In her research, Data visualization is intimately related to Human–computer interaction, which falls under the overarching field of Visualization.
The Workflow study combines topics in areas such as Relational database and Focus.
Her Information retrieval research incorporates elements of Metadata, Misinformation, Graph and Identification.
Juliana Freire conducts interdisciplinary study in the fields of Provenance and World Wide Web through her research.
Between 2015 and 2021, her most popular works were:
- Predicting taxi demand at high spatial resolution: Approaching the limit of predictability (66 citations)
- ReproZip: Computational Reproducibility With Ease (65 citations)
- A large-scale study about quality and reproducibility of jupyter notebooks (38 citations)
In her most recent research, the most cited papers focused on:
- Programming language
- Artificial intelligence
- Database
Data science, Data mining, Information retrieval, Public transport and Scripting language are her primary areas of study.
Her Data science study combines topics in areas such as Domain and Coding.
Her Information retrieval study combines topics from a wide range of disciplines, such as Set, Web crawler and Fake news.
Her Public transport research includes themes of Taxis, Pseudonymization, Visualization, Information privacy and Operations research.
Her Visualization research integrates issues from Perspective and Computer graphics.
Her work in the fields of Programming language, such as Python, overlaps with other areas such as Provenance.
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