Jon G. Elerath
Jon G. Elerath publishes mostly in Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering, on topics such as Advanced Data Storage Technologies, Distributed systems and fault tolerance and Parallel Computing and Optimization Techniques.
- World rank
- #1,355,137 of 7,710,434 ranked researchers
- Rank in United States
- #429,313 of 1,627,098
- Works
- 30
- Citations
- 597
- Citations per work
- 19.9
What does Jon G. Elerath research?
Jon G. Elerath's work is mostly in Computer Science (45%), Engineering (15%), Energy (8%).
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 Sciences2067.6%
- Computer Science1445.0%
- Engineering515.1%
- Energy27.5%
- Everything else1032.4%
- 1Computer Networks and Communications30% of their works
- 2Hardware and Architecture10% of their works
- 3Electrical and Electronic Engineering9% of their works
- 4Renewable Energy, Sustainability and the Environment8% of their works
- 5Safety, Risk, Reliability and Quality6% of their works
- 6Software5% of their works
Research topics
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Parallel Computing and Optimization Techniques
- Photovoltaic System Optimization Techniques
- Software Reliability and Analysis Research
- Reliability and Maintenance Optimization
- Distributed and Parallel Computing Systems
- Risk and Safety Analysis
Which keywords describe Jon G. Elerath's research?
The keywords of their largest research topics: Parallel Computing, Distributed Storage, Network Coding, Distributed Systems, High-Performance Computing, Consistency, Fault Tolerance and GPU Computing.
- Grid Computing
- Bayesian Networks
- Reliability Engineering
- Architecture-Based Approach
- Maximum Power Point Tracking
- GPU Computing
- Consistency
- Distributed Systems
- Distributed Storage
- Parallel Computing
- Network Coding
- High-Performance Computing
- Fault Tolerance
- Performance Optimization
- Photovoltaic Arrays
- Maintenance Optimization
- Software Reliability Modeling
- Fault Tree Analysis
- Resource Management
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 19 words, with their numbers
- Parallel Computing192 topics
- Distributed Storage131 topic
- Network Coding131 topic
- Distributed Systems92 topics
- High-Performance Computing92 topics
- Consistency61 topic
- Fault Tolerance61 topic
- GPU Computing61 topic
- Performance Optimization61 topic
- Maximum Power Point Tracking51 topic
- Photovoltaic Arrays51 topic
- Architecture-Based Approach41 topic
- Maintenance Optimization41 topic
- Reliability Engineering41 topic
- Software Reliability Modeling41 topic
- Bayesian Networks31 topic
- Fault Tree Analysis31 topic
- Grid Computing31 topic
- Resource Management31 topic
Where does Jon G. Elerath work?
Jon G. Elerath's main affiliation in the publication record is CardioFocus (United States), United States.
How many publications and citations does Jon G. Elerath have?
OpenAlex counts 30 works and 597 citations for Jon G. Elerath, an h-index of 13, ranking #1,355,137 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 Jon G. Elerath. 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.