Mark W. Owen
Mark W. Owen publishes mostly in Artificial Intelligence, Aerospace Engineering and Control and Systems Engineering, on topics such as Target Tracking and Data Fusion in Sensor Networks, Neural Networks and Applications and Advanced Multi-Objective Optimization Algorithms.
- World rank
- #3,790,968 of 7,710,434 ranked researchers
- Rank in United States
- #1,044,896 of 1,627,098
- Works
- 16
- Citations
- 188
- Citations per work
- 11.8
What does Mark W. Owen research?
Mark W. Owen's work is mostly in Computer Science (41%), Engineering (31%), Earth and Planetary Sciences (5%).
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 Sciences1276.9%
- Computer Science741.0%
- Engineering530.8%
- Earth and Planetary Sciences15.1%
- Everything else423.1%
- 1Artificial Intelligence28% of their works
- 2Aerospace Engineering15% of their works
- 3Control and Systems Engineering15% of their works
- 4Computer Networks and Communications8% of their works
- 5Computational Theory and Mathematics5% of their works
- 6Oceanography5% of their works
Research topics
- Target Tracking and Data Fusion in Sensor Networks
- Neural Networks and Applications
- Advanced Multi-Objective Optimization Algorithms
- Underwater Acoustics Research
- Adaptive Control of Nonlinear Systems
- Underwater Vehicles and Communication Systems
- Gaussian Processes and Bayesian Inference
- Energy Efficient Wireless Sensor Networks
Which keywords describe Mark W. Owen's research?
The keywords of their largest research topics: Bayesian Inference, Nonlinear Estimation, Particle Filters, Deep Learning, Machine Learning, Neural Networks, Self-Organizing Maps and Wireless Sensor Networks.
- Variational Inference
- Gaussian Processes
- Underwater Acoustic Sensor Networks
- Seafloor Mapping
- Evolutionary Algorithms
- Acoustic Techniques
- Wireless Sensor Networks
- Neural Networks
- Deep Learning
- Nonlinear Estimation
- Bayesian Inference
- Particle Filters
- Machine Learning
- Self-Organizing Maps
- Acoustic Communications
- Adaptive Control
- Multiobjective Optimization
- Sliding Mode Control
- Energy-Efficient Protocols
- Routing Techniques
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
- Bayesian Inference82 topics
- Nonlinear Estimation71 topic
- Particle Filters71 topic
- Deep Learning42 topics
- Machine Learning32 topics
- Neural Networks31 topic
- Self-Organizing Maps31 topic
- Wireless Sensor Networks32 topics
- Acoustic Communications21 topic
- Acoustic Techniques21 topic
- Adaptive Control21 topic
- Evolutionary Algorithms21 topic
- Multiobjective Optimization21 topic
- Seafloor Mapping21 topic
- Sliding Mode Control21 topic
- Underwater Acoustic Sensor Networks21 topic
- Energy-Efficient Protocols11 topic
- Gaussian Processes11 topic
- Routing Techniques11 topic
- Variational Inference11 topic
Where does Mark W. Owen work?
Mark W. Owen's main affiliation in the publication record is Lockheed Martin Orincon (United States), United States.
How many publications and citations does Mark W. Owen have?
OpenAlex counts 16 works and 188 citations for Mark W. Owen, an h-index of 7, ranking #3,790,968 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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