Paul Rimba
Paul Rimba publishes mostly in Information Systems, Artificial Intelligence and Computer Networks and Communications, on topics such as Blockchain Technology Applications and Security, Security and Verification in Computing and Software System Performance and Reliability.
- World rank
- #693,235 of 7,710,434 ranked researchers
- Rank in Australia
- #23,490 of 140,210
- Works
- 30
- Citations
- 2k
- Citations per work
- 66.9
What does Paul Rimba research?
Paul Rimba's work is mostly in Computer Science (80%), Social Sciences (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 Sciences2480.0%
- Computer Science2480.0%
- Everything else517.6%
- Social Sciences12.4%
- Social Sciences12.4%
- 1Information Systems28% of their works
- 2Artificial Intelligence21% of their works
- 3Computer Networks and Communications20% of their works
- 4Signal Processing7% of their works
- 5Computer Vision and Pattern Recognition4% of their works
- 6Sociology and Political Science2% of their works
Research topics
- Blockchain Technology Applications and Security
- Security and Verification in Computing
- Software System Performance and Reliability
- Peer-to-Peer Network Technologies
- Cloud Computing and Resource Management
- Advanced Software Engineering Methodologies
- Internet Traffic Analysis and Secure E-voting
- Network Security and Intrusion Detection
Which keywords describe Paul Rimba's research?
The keywords of their largest research topics: Blockchain, Internet of Things, Distributed Systems, Virtualization, Anomaly Detection, Deep Learning, Machine Learning and Security Policies.
- Network Security
- Internet Traffic
- Autonomic Computing
- Performance Prediction
- Log Analysis
- Big Data
- Security Policies
- Deep Learning
- Virtualization
- Internet of Things
- Blockchain
- Distributed Systems
- Anomaly Detection
- Machine Learning
- Side-Channel Attacks
- Cloud Computing
- Peer-to-Peer
- Scalable
- Classification
- Intrusion Detection
- Self-Adaptive Systems
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 21 words, with their numbers
- Blockchain131 topic
- Internet of Things131 topic
- Distributed Systems123 topics
- Virtualization92 topics
- Anomaly Detection72 topics
- Deep Learning62 topics
- Machine Learning62 topics
- Security Policies51 topic
- Side-Channel Attacks51 topic
- Big Data41 topic
- Cloud Computing41 topic
- Log Analysis41 topic
- Peer-to-Peer41 topic
- Performance Prediction41 topic
- Scalable41 topic
- Autonomic Computing31 topic
- Classification31 topic
- Internet Traffic31 topic
- Intrusion Detection31 topic
- Network Security31 topic
- Self-Adaptive Systems31 topic
Where does Paul Rimba work?
Paul Rimba's main affiliation in the publication record is Data61, Australia.
How many publications and citations does Paul Rimba have?
OpenAlex counts 30 works and 2,006 citations for Paul Rimba, an h-index of 15, ranking #693,235 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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