Marion R. Reynolds
Marion R. Reynolds publishes mostly in Statistics, Probability and Uncertainty, Statistics and Probability and Control and Systems Engineering, on topics such as Advanced Statistical Process Monitoring, Scientific Measurement and Uncertainty Evaluation and Advanced Statistical Methods and Models.
- World rank
- #60,003 of 7,710,434 ranked researchers
- Rank in United States
- #23,109 of 1,627,098
- Works
- 119
- Citations
- 7.7k
- Citations per work
- 65.1
What does Marion R. Reynolds research?
Marion R. Reynolds's work is mostly in Decision Sciences (54%), Mathematics (16%), Engineering (10%).
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
- Social Sciences6554.4%
- Decision Sciences6554.4%
- Physical Sciences3227.0%
- Mathematics1915.6%
- Engineering1210.2%
- Environmental Science11.2%
- Everything else119.6%
- Health Sciences119.0%
- Health Professions119.0%
- 1Statistics, Probability and Uncertainty53% of their works
- 2Statistics and Probability16% of their works
- 3Control and Systems Engineering10% of their works
- 4Medical Laboratory Technology9% of their works
- 5Management Science and Operations Research2% of their works
- 6Global and Planetary Change1% of their works
Research topics
Which keywords describe Marion R. Reynolds's research?
The keywords of their largest research topics: Quality Assurance, Healthcare Improvement, Statistical Process Control, Measurement Uncertainty, Redefinition of SI Units, Machine Learning, Multicollinearity and Regression Analysis.
- Optimization
- Forest Carbon Sequestration
- Biomass Estimation
- Process Monitoring
- Medical Equipment
- Regression Analysis
- Machine Learning
- Measurement Uncertainty
- Healthcare Improvement
- Quality Assurance
- Statistical Process Control
- Redefinition of SI Units
- Multicollinearity
- Maintenance
- Fault Detection
- Allometric Models
- Climate Change Impacts
- Model Predictive Control
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
- Quality Assurance1752 topics
- Healthcare Improvement1041 topic
- Statistical Process Control1041 topic
- Measurement Uncertainty711 topic
- Redefinition of SI Units711 topic
- Machine Learning592 topics
- Multicollinearity441 topic
- Regression Analysis441 topic
- Maintenance301 topic
- Medical Equipment301 topic
- Fault Detection291 topic
- Process Monitoring291 topic
- Allometric Models41 topic
- Biomass Estimation41 topic
- Climate Change Impacts41 topic
- Forest Carbon Sequestration41 topic
- Model Predictive Control41 topic
- Optimization41 topic
Where does Marion R. Reynolds work?
Marion R. Reynolds's main affiliation in the publication record is Virginia Tech, United States.
How many publications and citations does Marion R. Reynolds have?
OpenAlex counts 119 works and 7,744 citations for Marion R. Reynolds, an h-index of 48, ranking #60,003 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
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