What is she best known for?
The fields of study she is best known for:
- Operating system
- Programming language
- Software
Parallel computing, Programming paradigm, Multi-core processor, Scheduling and Programmer are her primary areas of study.
Her Parallel computing study integrates concerns from other disciplines, such as Grid file, Compiler and Software portability.
Rosa M. Badia regularly ties together related areas like Exploit in her Programming paradigm studies.
Her studies in Multi-core processor integrate themes in fields like Syntax and Linear algebra.
In Scheduling, Rosa M. Badia works on issues like Computer architecture, which are connected to Runtime library, Broadband and Supercomputer.
The Programmer study combines topics in areas such as CUDA, Task and Inductive programming, Reactive programming.
Her most cited work include:
- OmpSs: A proposal for programming heterogeneous multi-core architectures (441 citations)
- OmpSs: A proposal for programming heterogeneous multi-core architectures (441 citations)
- OPTIMIS: A holistic approach to cloud service provisioning (327 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Programming paradigm, Parallel computing, Distributed computing, Scheduling and Cloud computing.
Her work deals with themes such as Python, Computer architecture, Scalability and Programmer, which intersect with Programming paradigm.
Rosa M. Badia usually deals with Programmer and limits it to topics linked to Software portability and Symmetric multiprocessor system.
Her Parallel computing research is multidisciplinary, incorporating perspectives in Compiler and Task.
Her Scheduling study integrates concerns from other disciplines, such as Software, Embedded system and Runtime system.
Her work carried out in the field of Multi-core processor brings together such families of science as Exploit and Linear algebra.
She most often published in these fields:
- Programming paradigm (50.00%)
- Parallel computing (35.23%)
- Distributed computing (29.87%)
What were the highlights of her more recent work (between 2018-2021)?
- Distributed computing (29.87%)
- Programming paradigm (50.00%)
- Workflow (9.73%)
In recent papers she was focusing on the following fields of study:
Rosa M. Badia mainly focuses on Distributed computing, Programming paradigm, Workflow, Python and Big data.
Her Distributed computing research includes elements of Task and Implementation.
As a member of one scientific family, she mostly works in the field of Programming paradigm, focusing on Supercomputer and, on occasion, Scheduling, Exploit, Hyperparameter and Speedup.
Her Scheduling research incorporates themes from Multi-core processor, Embedded system and Runtime system.
Her Workflow study also includes
- Software deployment together with Library science,
- Software and related Key and Dependability,
- Software engineering together with Interoperability and Cloud computing.
To a larger extent, Rosa M. Badia studies Parallel computing with the aim of understanding Symmetric multiprocessor system.
Between 2018 and 2021, her most popular works were:
- Hunting for open clusters in Gaia DR2: 582 new open clusters in the Galactic disc (47 citations)
- Hunting for open clusters in extit{Gaia} DR2: $582$ new OCs in the Galactic disc (47 citations)
- BIGSEA: A Big Data analytics platform for public transportation information (10 citations)
In her most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Software
Her scientific interests lie mostly in Big data, Programming paradigm, Distributed computing, Python and Open cluster.
Her Big data study combines topics in areas such as Data access and Library science.
While working in this field, she studies both Programming paradigm and Computer Applications.
Her research in Distributed computing intersects with topics in Scalability, High-level programming language, Data management and Data analysis.
Her Python research is multidisciplinary, relying on both Documentation, Software, Software engineering and Interoperability.
The study incorporates disciplines such as Artificial neural network and Galaxy, Astrophysics in addition to Open cluster.
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