Malcolm J. Cohen
Malcolm J. Cohen publishes mostly in Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, on topics such as Parallel Computing and Optimization Techniques, Distributed and Parallel Computing Systems and Numerical Methods and Algorithms.
- World rank
- #4,961,535 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #299,651 of 367,258
- Works
- 22
- Citations
- 87
- Citations per work
- 4.0
What does Malcolm J. Cohen research?
Malcolm J. Cohen's work is mostly in Computer Science (65%), Decision Sciences (6%).
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 Sciences1465.2%
- Computer Science1465.2%
- Everything else628.7%
- Social Sciences16.1%
- Decision Sciences16.1%
- 1Hardware and Architecture20% of their works
- 2Computer Networks and Communications14% of their works
- 3Computational Theory and Mathematics12% of their works
- 4Artificial Intelligence12% of their works
- 5Information Systems and Management6% of their works
- 6Information Systems6% of their works
Research topics
- Parallel Computing and Optimization Techniques
- Distributed and Parallel Computing Systems
- Numerical Methods and Algorithms
- Scientific Computing and Data Management
- Computational Physics and Python Applications
- Logic, programming, and type systems
- Formal Methods in Verification
- Software Engineering Research
Which keywords describe Malcolm J. Cohen's research?
The keywords of their largest research topics: High-Performance Computing, Parallel Computing, Performance Optimization, Workflow Management, Distributed Systems, Grid Computing, Machine Learning and Model Checking.
- Symbolic Model Checker
- Scientific Computing
- Refactoring
- Formal Verification
- Scientific Workflows
- Interval Analysis
- Model Checking
- Grid Computing
- Workflow Management
- Parallel Computing
- High-Performance Computing
- Performance Optimization
- Distributed Systems
- Machine Learning
- Floating-Point Arithmetic
- Reproducibility
- Code Clone Detection
- Python
- Satisfiability Modulo Theories
- 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.
All 20 words, with their numbers
- High-Performance Computing142 topics
- Parallel Computing91 topic
- Performance Optimization91 topic
- Workflow Management82 topics
- Distributed Systems51 topic
- Grid Computing51 topic
- Machine Learning42 topics
- Model Checking42 topics
- Floating-Point Arithmetic31 topic
- Interval Analysis31 topic
- Reproducibility31 topic
- Scientific Workflows31 topic
- Code Clone Detection21 topic
- Formal Verification21 topic
- Python21 topic
- Refactoring21 topic
- Satisfiability Modulo Theories21 topic
- Scientific Computing21 topic
- Static Analysis21 topic
- Symbolic Model Checker21 topic
Where does Malcolm J. Cohen work?
Malcolm J. Cohen's main affiliation in the publication record is Numerical Algorithms Group (United Kingdom), United Kingdom.
How many publications and citations does Malcolm J. Cohen have?
OpenAlex counts 22 works and 87 citations for Malcolm J. Cohen, an h-index of 2, ranking #4,961,535 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised 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.
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