Rajeev Thakur
Rajeev Thakur publishes mostly in Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence, on topics such as Parallel Computing and Optimization Techniques, Advanced Data Storage Technologies and Distributed and Parallel Computing Systems.
- World rank
- #136,802 of 7,710,434 ranked researchers
- Rank in United States
- #51,856 of 1,627,098
- Works
- 291
- Citations
- 10k
- Citations per work
- 34.2
What does Rajeev Thakur research?
Rajeev Thakur's work is mostly in Computer Science (81%), Engineering (4%), Decision Sciences (4%).
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 Sciences24684.7%
- Computer Science23580.9%
- Engineering113.8%
- Everything else3411.7%
- Social Sciences103.6%
- Decision Sciences103.6%
- 1Computer Networks and Communications47% of their works
- 2Hardware and Architecture25% of their works
- 3Artificial Intelligence5% of their works
- 4Electrical and Electronic Engineering4% of their works
- 5Information Systems and Management4% of their works
- 6Information Systems4% of their works
Research topics
- Parallel Computing and Optimization Techniques
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Distributed systems and fault tolerance
- Interconnection Networks and Systems
- Scientific Computing and Data Management
- Embedded Systems Design Techniques
- Cloud Computing and Resource Management
Which keywords describe Rajeev Thakur's research?
The keywords of their largest research topics: Parallel Computing, High-Performance Computing, GPU Computing, Performance Optimization, Distributed Systems, Distributed Storage, Network Coding and Workflow Management.
- Reconfigurable Computing
- Cloud Computing
- Scientific Workflows
- Networks on Chip
- Transactional Memory
- Fault Tolerance
- Grid Computing
- Workflow Management
- Distributed Storage
- Performance Optimization
- High-Performance Computing
- Parallel Computing
- GPU Computing
- Distributed Systems
- Network Coding
- Resource Management
- Task Scheduling
- Consistency
- Interconnection Networks
- Reproducibility
- Big Data
- High-Level Synthesis
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
- Parallel Computing3432 topics
- High-Performance Computing2952 topics
- GPU Computing1821 topic
- Performance Optimization1821 topic
- Distributed Systems1773 topics
- Distributed Storage1611 topic
- Network Coding1611 topic
- Workflow Management1422 topics
- Resource Management1322 topics
- Grid Computing1131 topic
- Task Scheduling1131 topic
- Fault Tolerance842 topics
- Consistency451 topic
- Transactional Memory451 topic
- Interconnection Networks391 topic
- Networks on Chip391 topic
- Reproducibility291 topic
- Scientific Workflows291 topic
- Big Data191 topic
- Cloud Computing191 topic
- High-Level Synthesis191 topic
- Reconfigurable Computing191 topic
Where does Rajeev Thakur work?
Rajeev Thakur's main affiliation in the publication record is Argonne National Laboratory, United States.
How many publications and citations does Rajeev Thakur have?
OpenAlex counts 291 works and 9,956 citations for Rajeev Thakur, an h-index of 47, ranking #136,802 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.
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