Ryan Turner
Ryan Turner publishes mostly in Polymers and Plastics, Artificial Intelligence and Spectroscopy, on topics such as Polymer composites and self-healing, Polymer Foaming and Composites and Machine Learning and Data Classification.
- World rank
- #1,790,479 of 7,710,434 ranked researchers
- Rank in United States
- #550,570 of 1,627,098
- Works
- 62
- Citations
- 1.1k
- Citations per work
- 17.5
What does Ryan Turner research?
Ryan Turner's work is mostly in Materials Science (20%), Computer Science (17%), Engineering (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 Sciences3150.4%
- Materials Science1220.0%
- Computer Science1016.8%
- Engineering47.1%
- Chemistry46.5%
- Everything else2845.7%
- Health Sciences23.9%
- Medicine23.9%
- 1Polymers and Plastics20% of their works
- 2Artificial Intelligence17% of their works
- 3Spectroscopy6% of their works
- 4Mechanical Engineering4% of their works
- 5Epidemiology4% of their works
- 6Electrical and Electronic Engineering3% of their works
Research topics
- Polymer composites and self-healing
- Polymer Foaming and Composites
- Machine Learning and Data Classification
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Anomaly Detection Techniques and Applications
- Gaussian Processes and Bayesian Inference
- Explainable Artificial Intelligence (XAI)
Which keywords describe Ryan Turner's research?
The keywords of their largest research topics: Biodegradable Polymers, Polymer Composites, Self-Healing, Polymer Foaming, Supercritical Carbon Dioxide, Deep Neural Networks, Deep Learning and Hyperparameter Optimization.
- Interpretable Models
- Machine Learning
- Gaussian Processes
- Anomaly Detection
- Ionization
- Hyperparameter Optimization
- Deep Neural Networks
- Polymer Foaming
- Polymer Composites
- Biodegradable Polymers
- Self-Healing
- Supercritical Carbon Dioxide
- Deep Learning
- Noisy Labels
- Mass Spectrometry
- Chiral Separation
- Liquid Chromatography
- Unsupervised
- Machine Learning Interpretability
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 19 words, with their numbers
- Biodegradable Polymers252 topics
- Polymer Composites151 topic
- Self-Healing151 topic
- Polymer Foaming101 topic
- Supercritical Carbon Dioxide101 topic
- Deep Neural Networks92 topics
- Deep Learning82 topics
- Hyperparameter Optimization61 topic
- Noisy Labels61 topic
- Ionization51 topic
- Mass Spectrometry51 topic
- Anomaly Detection41 topic
- Chiral Separation41 topic
- Gaussian Processes41 topic
- Liquid Chromatography41 topic
- Machine Learning41 topic
- Unsupervised41 topic
- Interpretable Models31 topic
- Machine Learning Interpretability31 topic
Where does Ryan Turner work?
Ryan Turner's main affiliation in the publication record is Freeport-McMoRan (United States), United States.
How many publications and citations does Ryan Turner have?
OpenAlex counts 62 works and 1,083 citations for Ryan Turner, an h-index of 15, ranking #1,790,479 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.
Discussion
Ask a question or share a note about Ryan Turner. Posts are plain text and can be reported.