Nathan A. Thompson
Nathan A. Thompson publishes mostly in Management Science and Operations Research, Artificial Intelligence and Statistics and Probability, on topics such as Psychometric Methodologies and Testing, Advanced Statistical Modeling Techniques and Advanced Statistical Methods and Models.
- World rank
- #3,823,306 of 7,710,434 ranked researchers
- Rank in United States
- #1,052,125 of 1,627,098
- Works
- 28
- Citations
- 474
- Citations per work
- 16.9
What does Nathan A. Thompson research?
Nathan A. Thompson's work is mostly in Computer Science (20%), Decision Sciences (16%), Mathematics (8%).
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
- Everything else1448.6%
- Physical Sciences828.4%
- Computer Science620.3%
- Mathematics28.1%
- Social Sciences623.0%
- Decision Sciences516.2%
- Social Sciences26.8%
- 1Management Science and Operations Research16% of their works
- 2Artificial Intelligence8% of their works
- 3Statistics and Probability8% of their works
- 4Computer Networks and Communications7% of their works
- 5Education7% of their works
- 6Software5% of their works
Research topics
- Psychometric Methodologies and Testing
- Advanced Statistical Modeling Techniques
- Advanced Statistical Methods and Models
- Software Reliability and Analysis Research
- Student Assessment and Feedback
- Supramolecular Chemistry and Complexes
- Gaussian Processes and Bayesian Inference
- Advanced Multi-Objective Optimization Algorithms
Which keywords describe Nathan A. Thompson's research?
The keywords of their largest research topics: Measurement Invariance, Structural Equation Modeling, Johnson Noise, Multicollinearity, Regression Analysis, Secure Communication, Architecture-Based Approach and Feedback.
- Supramolecular Chemistry
- Molecular Machines
- Gaussian Processes
- Software Reliability Modeling
- Feedback
- Secure Communication
- Multicollinearity
- Structural Equation Modeling
- Measurement Invariance
- Johnson Noise
- Regression Analysis
- Architecture-Based Approach
- Formative Assessment
- Evolutionary Algorithms
- Machine Learning
- Multiobjective Optimization
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 16 words, with their numbers
- Measurement Invariance91 topic
- Structural Equation Modeling91 topic
- Johnson Noise51 topic
- Multicollinearity51 topic
- Regression Analysis51 topic
- Secure Communication51 topic
- Architecture-Based Approach31 topic
- Feedback31 topic
- Formative Assessment31 topic
- Software Reliability Modeling31 topic
- Evolutionary Algorithms21 topic
- Gaussian Processes21 topic
- Machine Learning21 topic
- Molecular Machines21 topic
- Multiobjective Optimization21 topic
- Supramolecular Chemistry21 topic
Where does Nathan A. Thompson work?
Nathan A. Thompson's main affiliation in the publication record is MTS Systems (United States), United States.
How many publications and citations does Nathan A. Thompson have?
OpenAlex counts 28 works and 474 citations for Nathan A. Thompson, an h-index of 9, ranking #3,823,306 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.
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Discussion
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