Russell G. Almond
Russell G. Almond publishes mostly in Artificial Intelligence, Education and Management Science and Operations Research, on topics such as Bayesian Modeling and Causal Inference, Intelligent Tutoring Systems and Adaptive Learning and AI-based Problem Solving and Planning.
- World rank
- #371,722 of 7,710,434 ranked researchers
- Rank in United States
- #132,605 of 1,627,098
- Works
- 168
- Citations
- 4.6k
- Citations per work
- 27.2
What does Russell G. Almond research?
Russell G. Almond's work is mostly in Computer Science (35%), Social Sciences (9%), Decision 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 Sciences6940.9%
- Computer Science5935.1%
- Mathematics105.8%
- Everything else6236.9%
- Social Sciences3722.2%
- Social Sciences159.1%
- Decision Sciences127.3%
- Psychology105.8%
- 1Artificial Intelligence31% of their works
- 2Education9% of their works
- 3Management Science and Operations Research7% of their works
- 4Statistics and Probability6% of their works
- 5Developmental and Educational Psychology6% of their works
- 6Information Systems4% of their works
Research topics
- Bayesian Modeling and Causal Inference
- Intelligent Tutoring Systems and Adaptive Learning
- AI-based Problem Solving and Planning
- Psychometric Methodologies and Testing
- Statistics Education and Methodologies
- Multi-Criteria Decision Making
- Educational Games and Gamification
- Educational and Psychological Assessments
Which keywords describe Russell G. Almond's research?
The keywords of their largest research topics: Bayesian Networks, Causal Inference, Graphical Models, Affective States, Intelligent Tutoring Systems, Heuristic Search, Planning Systems and Measurement Invariance.
- Gamification
- Educational Psychology
- Analytic Hierarchy Process
- Data Science
- Measurement Invariance
- Heuristic Search
- Affective States
- Causal Inference
- Bayesian Networks
- Graphical Models
- Intelligent Tutoring Systems
- Planning Systems
- Structural Equation Modeling
- Statistics Anxiety
- Dynamic Assessment
- Game-Based Learning
- TOPSIS
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
- Bayesian Networks792 topics
- Causal Inference531 topic
- Graphical Models531 topic
- Affective States261 topic
- Intelligent Tutoring Systems261 topic
- Heuristic Search121 topic
- Planning Systems121 topic
- Measurement Invariance111 topic
- Structural Equation Modeling111 topic
- Data Science81 topic
- Statistics Anxiety81 topic
- Analytic Hierarchy Process71 topic
- Dynamic Assessment71 topic
- Educational Psychology71 topic
- Game-Based Learning71 topic
- Gamification71 topic
- TOPSIS71 topic
Where does Russell G. Almond work?
Russell G. Almond's main affiliation in the publication record is Educational Testing Service, United States.
How many publications and citations does Russell G. Almond have?
OpenAlex counts 168 works and 4,566 citations for Russell G. Almond, an h-index of 31, ranking #371,722 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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