Vivek Sarkar
Vivek Sarkar publishes mostly in Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence, on topics such as Parallel Computing and Optimization Techniques, Distributed and Parallel Computing Systems and Distributed systems and fault tolerance.
- World rank
- #148,312 of 7,710,434 ranked researchers
- Rank in United States
- #55,962 of 1,627,098
- Works
- 542
- Citations
- 14k
- Citations per work
- 26.1
What does Vivek Sarkar research?
Vivek Sarkar's work is mostly in Computer Science (81%), Engineering (2%).
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 Sciences45383.5%
- Computer Science44181.3%
- Engineering122.2%
- Everything else8916.5%
- 1Computer Networks and Communications34% of their works
- 2Hardware and Architecture31% of their works
- 3Artificial Intelligence8% of their works
- 4Information Systems6% of their works
- 5Electrical and Electronic Engineering2% of their works
- 6Computational Theory and Mathematics2% of their works
Research topics
- Parallel Computing and Optimization Techniques
- Distributed and Parallel Computing Systems
- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Cloud Computing and Resource Management
- Embedded Systems Design Techniques
- Interconnection Networks and Systems
- Logic, programming, and type systems
Which keywords describe Vivek Sarkar's research?
The keywords of their largest research topics: High-Performance Computing, Parallel Computing, Distributed Systems, GPU Computing, Performance Optimization, Resource Management, Grid Computing and Task Scheduling.
- Formal Verification
- Interconnection Networks
- High-Level Synthesis
- Big Data
- Distributed Storage
- Consistency
- Task Scheduling
- Resource Management
- GPU Computing
- Parallel Computing
- High-Performance Computing
- Distributed Systems
- Performance Optimization
- Grid Computing
- Fault Tolerance
- Transactional Memory
- Network Coding
- Cloud Computing
- Reconfigurable Computing
- Networks on Chip
- Static Analysis
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 21 words, with their numbers
- High-Performance Computing5122 topics
- Parallel Computing4242 topics
- Distributed Systems3503 topics
- GPU Computing3401 topic
- Performance Optimization3401 topic
- Resource Management2442 topics
- Grid Computing1721 topic
- Task Scheduling1721 topic
- Fault Tolerance1602 topics
- Consistency1061 topic
- Transactional Memory1061 topic
- Distributed Storage841 topic
- Network Coding841 topic
- Big Data721 topic
- Cloud Computing721 topic
- High-Level Synthesis711 topic
- Reconfigurable Computing711 topic
- Interconnection Networks541 topic
- Networks on Chip541 topic
- Formal Verification471 topic
- Static Analysis471 topic
Where does Vivek Sarkar work?
Vivek Sarkar's main affiliation in the publication record is Rice University, United States.
How many publications and citations does Vivek Sarkar have?
OpenAlex counts 542 works and 14,172 citations for Vivek Sarkar, an h-index of 55, ranking #148,312 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.
Other researchers named Vivek Sarkar
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 Vivek Sarkar. 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.