Rosa M. Badia
Rosa M. Badia publishes mostly in Computer Networks and Communications, Hardware and Architecture and Information Systems, on topics such as Distributed and Parallel Computing Systems, Parallel Computing and Optimization Techniques and Cloud Computing and Resource Management.
- World rank
- #277,605 of 7,710,434 ranked researchers
- Rank in Spain
- #4,564 of 204,306
- Works
- 376
- Citations
- 8k
- Citations per work
- 21.2
What does Rosa M. Badia research?
Rosa M. Badia's work is mostly in Computer Science (76%), Decision Sciences (9%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences28575.9%
- Computer Science28575.9%
- Everything else5815.4%
- Social Sciences338.7%
- Decision Sciences338.7%
- 1Computer Networks and Communications33% of their works
- 2Hardware and Architecture21% of their works
- 3Information Systems14% of their works
- 4Information Systems and Management9% of their works
- 5Artificial Intelligence6% of their works
- 6Computational Theory and Mathematics2% of their works
Research topics
- Distributed and Parallel Computing Systems
- Parallel Computing and Optimization Techniques
- Cloud Computing and Resource Management
- Scientific Computing and Data Management
- Advanced Data Storage Technologies
- Embedded Systems Design Techniques
- Interconnection Networks and Systems
- Service-Oriented Architecture and Web Services
Which keywords describe Rosa M. Badia's research?
The keywords of their largest research topics: High-Performance Computing, Distributed Systems, Resource Management, Workflow Management, Parallel Computing, Grid Computing, Task Scheduling and GPU Computing.
- Service-Oriented Computing
- Networks on Chip
- Reconfigurable Computing
- Network Coding
- Scientific Workflows
- Semantic Web Services
- Big Data
- GPU Computing
- Grid Computing
- Workflow Management
- Distributed Systems
- High-Performance Computing
- Resource Management
- Parallel Computing
- Task Scheduling
- Performance Optimization
- Cloud Computing
- Reproducibility
- Distributed Storage
- High-Level Synthesis
- Interconnection Networks
- QoS-Aware Middleware
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 22 words, with their numbers
- High-Performance Computing3402 topics
- Distributed Systems2952 topics
- Resource Management2952 topics
- Workflow Management2722 topics
- Parallel Computing2182 topics
- Grid Computing1851 topic
- Task Scheduling1851 topic
- GPU Computing1551 topic
- Performance Optimization1551 topic
- Big Data1101 topic
- Cloud Computing1101 topic
- Semantic Web Services1012 topics
- Reproducibility871 topic
- Scientific Workflows871 topic
- Distributed Storage631 topic
- Network Coding631 topic
- High-Level Synthesis401 topic
- Reconfigurable Computing401 topic
- Interconnection Networks311 topic
- Networks on Chip311 topic
- QoS-Aware Middleware141 topic
- Service-Oriented Computing141 topic
Where does Rosa M. Badia work?
Rosa M. Badia's main affiliation in the publication record is Universitat Politècnica de Catalunya, Spain.
How many publications and citations does Rosa M. Badia have?
OpenAlex counts 376 works and 7,955 citations for Rosa M. Badia, an h-index of 44, ranking #277,605 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
Ask a question or share a note about Rosa M. Badia. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.