Craig A. Carthel
Craig A. Carthel publishes mostly in Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering, on topics such as Target Tracking and Data Fusion in Sensor Networks, Distributed Sensor Networks and Detection Algorithms and Gaussian Processes and Bayesian Inference.
- World rank
- #2,097,140 of 7,710,434 ranked researchers
- Rank in United States
- #633,126 of 1,627,098
- Works
- 84
- Citations
- 2.4k
- Citations per work
- 28.2
What does Craig A. Carthel research?
Craig A. Carthel's work is mostly in Computer Science (53%), Engineering (15%), Earth and Planetary Sciences (7%).
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 Sciences6679.1%
- Computer Science4553.2%
- Engineering1314.9%
- Earth and Planetary Sciences67.2%
- Environmental Science33.8%
- Everything else1820.9%
- 1Artificial Intelligence40% of their works
- 2Computer Networks and Communications13% of their works
- 3Control and Systems Engineering8% of their works
- 4Ocean Engineering7% of their works
- 5Oceanography7% of their works
- 6Ecology4% of their works
Research topics
- Target Tracking and Data Fusion in Sensor Networks
- Distributed Sensor Networks and Detection Algorithms
- Gaussian Processes and Bayesian Inference
- Fault Detection and Control Systems
- Underwater Acoustics Research
- Underwater Vehicles and Communication Systems
- Marine animal studies overview
- Anomaly Detection Techniques and Applications
Which keywords describe Craig A. Carthel's research?
The keywords of their largest research topics: Bayesian Inference, Nonlinear Estimation, Particle Filters, Machine Learning, Wireless Sensor Networks, Decentralized Estimation, Distributed Detection and Deep Learning.
- Unsupervised
- Marine Mammals
- Underwater Acoustic Sensor Networks
- Seafloor Mapping
- Variational Inference
- Gaussian Processes
- Deep Learning
- Decentralized Estimation
- Machine Learning
- Nonlinear Estimation
- Bayesian Inference
- Particle Filters
- Wireless Sensor Networks
- Distributed Detection
- Fault Detection
- Process Monitoring
- Acoustic Techniques
- Acoustic Communications
- Anthropogenic Noise
- Anomaly Detection
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 20 words, with their numbers
- Bayesian Inference832 topics
- Nonlinear Estimation651 topic
- Particle Filters651 topic
- Machine Learning533 topics
- Wireless Sensor Networks402 topics
- Decentralized Estimation301 topic
- Distributed Detection301 topic
- Deep Learning262 topics
- Fault Detection181 topic
- Gaussian Processes181 topic
- Process Monitoring181 topic
- Variational Inference181 topic
- Acoustic Techniques171 topic
- Seafloor Mapping171 topic
- Acoustic Communications101 topic
- Underwater Acoustic Sensor Networks101 topic
- Anthropogenic Noise91 topic
- Marine Mammals91 topic
- Anomaly Detection81 topic
- Unsupervised81 topic
Where does Craig A. Carthel work?
Craig A. Carthel's main affiliation in the publication record is Systems and Technology Research (United States), United States.
How many publications and citations does Craig A. Carthel have?
OpenAlex counts 84 works and 2,370 citations for Craig A. Carthel, an h-index of 15, ranking #2,097,140 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.
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