Mike O’Connor
Mike O’Connor publishes mostly in Electrical and Electronic Engineering, Computer Networks and Communications and Hardware and Architecture, on topics such as Parallel Computing and Optimization Techniques, Advanced Data Storage Technologies and Distributed and Parallel Computing Systems.
- World rank
- #273,112 of 7,710,434 ranked researchers
- Rank in United States
- #99,766 of 1,627,098
- Works
- 135
- Citations
- 4.1k
- Citations per work
- 30.3
What does Mike O’Connor research?
Mike O’Connor's work is mostly in Computer Science (44%), Engineering (25%), Physics and Astronomy (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 Sciences9670.8%
- Computer Science5944.0%
- Engineering3324.6%
- Physics and Astronomy32.2%
- Everything else3627.0%
- Health Sciences32.2%
- Medicine32.2%
- 1Electrical and Electronic Engineering25% of their works
- 2Computer Networks and Communications21% of their works
- 3Hardware and Architecture21% of their works
- 4Physiology2% of their works
- 5Computer Vision and Pattern Recognition2% of their works
- 6Atomic and Molecular Physics, and Optics2% of their works
Research topics
- Parallel Computing and Optimization Techniques
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Semiconductor materials and devices
- Interconnection Networks and Systems
- Low-power high-performance VLSI design
- Advanced Memory and Neural Computing
- Embedded Systems Design Techniques
Which keywords describe Mike O’Connor's research?
The keywords of their largest research topics: Parallel Computing, High-Performance Computing, GPU Computing, Performance Optimization, Distributed Storage, Network Coding, Distributed Systems and Grid Computing.
- Reconfigurable Computing
- Neuromorphic Computing
- VLSI Circuits
- Networks on Chip
- High-k Dielectrics
- Grid Computing
- Network Coding
- Performance Optimization
- High-Performance Computing
- Parallel Computing
- GPU Computing
- Distributed Storage
- Distributed Systems
- Atomic Layer Deposition
- Interconnection Networks
- Low-Power
- Memristor
- 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 18 words, with their numbers
- Parallel Computing892 topics
- High-Performance Computing652 topics
- GPU Computing511 topic
- Performance Optimization511 topic
- Distributed Storage381 topic
- Network Coding381 topic
- Distributed Systems141 topic
- Grid Computing141 topic
- Atomic Layer Deposition121 topic
- High-k Dielectrics121 topic
- Interconnection Networks111 topic
- Networks on Chip111 topic
- Low-Power101 topic
- VLSI Circuits101 topic
- Memristor91 topic
- Neuromorphic Computing91 topic
- High-Level Synthesis81 topic
- Reconfigurable Computing81 topic
Where does Mike O’Connor work?
Mike O’Connor's main affiliation in the publication record is Nvidia (United States), United States.
How many publications and citations does Mike O’Connor have?
OpenAlex counts 135 works and 4,084 citations for Mike O’Connor, an h-index of 33, ranking #273,112 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 Mike O’Connor
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