Thomas J. Faulkenberry
Thomas J. Faulkenberry publishes mostly in Statistics and Probability, Education and Artificial Intelligence, on topics such as Cognitive and developmental aspects of mathematical skills, Mathematics Education and Teaching Techniques and Statistical Methods and Bayesian Inference.
- World rank
- #3,035,430 of 7,710,434 ranked researchers
- Rank in United States
- #869,842 of 1,627,098
- Works
- 81
- Citations
- 527
- Citations per work
- 6.5
What does Thomas J. Faulkenberry research?
Thomas J. Faulkenberry's work is mostly in Mathematics (33%), Psychology (12%), Social Sciences (11%).
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 Sciences3441.4%
- Mathematics2733.0%
- Computer Science78.4%
- Everything else2227.6%
- Social Sciences1923.1%
- Psychology1012.3%
- Social Sciences910.8%
- Life Sciences67.9%
- Neuroscience67.9%
- 1Statistics and Probability33% of their works
- 2Education11% of their works
- 3Artificial Intelligence8% of their works
- 4Cognitive Neuroscience8% of their works
- 5Experimental and Cognitive Psychology7% of their works
- 6Developmental and Educational Psychology5% of their works
Research topics
- Cognitive and developmental aspects of mathematical skills
- Mathematics Education and Teaching Techniques
- Statistical Methods and Bayesian Inference
- Visual and Cognitive Learning Processes
- Statistical Methods in Clinical Trials
- Statistics Education and Methodologies
- Bayesian Modeling and Causal Inference
- Advanced Statistical Methods and Models
Which keywords describe Thomas J. Faulkenberry's research?
The keywords of their largest research topics: Mathematical Achievement, Numerical Cognition, Educational Technology, Pedagogical Content Knowledge, Teacher Knowledge, Bayesian Modeling, Multiple Imputation and Cognitive Load Theory.
- Multicollinearity
- Bayesian Networks
- Data Science
- Adaptive Designs
- Cognitive Load Theory
- Bayesian Modeling
- Pedagogical Content Knowledge
- Numerical Cognition
- Mathematical Achievement
- Educational Technology
- Teacher Knowledge
- Multiple Imputation
- Multimedia Learning
- False Discovery Rate
- Statistics Anxiety
- Causal Inference
- Regression Analysis
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 17 words, with their numbers
- Mathematical Achievement331 topic
- Numerical Cognition331 topic
- Educational Technology282 topics
- Pedagogical Content Knowledge181 topic
- Teacher Knowledge181 topic
- Bayesian Modeling121 topic
- Multiple Imputation121 topic
- Cognitive Load Theory101 topic
- Multimedia Learning101 topic
- Adaptive Designs81 topic
- False Discovery Rate81 topic
- Data Science71 topic
- Statistics Anxiety71 topic
- Bayesian Networks61 topic
- Causal Inference61 topic
- Multicollinearity61 topic
- Regression Analysis61 topic
Where does Thomas J. Faulkenberry work?
Thomas J. Faulkenberry's main affiliation in the publication record is Tarleton State University, United States.
How many publications and citations does Thomas J. Faulkenberry have?
OpenAlex counts 81 works and 527 citations for Thomas J. Faulkenberry, an h-index of 12, ranking #3,035,430 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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