What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Cognitive psychology
- Linguistics
Cognitive psychology, Social psychology, Categorization, Artificial intelligence and Natural language processing are his primary areas of study.
His Cognitive psychology research is multidisciplinary, relying on both Cognitive skill, Experimental psychology and Learning sciences.
The various areas that Brian H. Ross examines in his Social psychology study include Fan effect, Knowledge level, Task analysis and Toy problem.
His Categorization study integrates concerns from other disciplines, such as Concept learning, Inference and Mental representation.
His work on Similarity and Feature as part of general Artificial intelligence study is frequently linked to Heuristics and L, therefore connecting diverse disciplines of science.
His Natural language processing research incorporates elements of Superordinate category and Superordinate goals.
His most cited work include:
- The Psychology of Learning and Motivation: Advances in Research and Theory (3783 citations)
- This is like that: The use of earlier problems and the separation of similarity effects. (523 citations)
- Remindings and their effects in learning a cognitive skill. (365 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Cognitive psychology, Categorization, Social psychology, Concept learning and Inference.
His Cognitive psychology study incorporates themes from Variety, Experimental psychology and Affect.
His Categorization study also includes fields such as
- Natural language processing that intertwine with fields like Object,
- Analogy and Stimulus Similarity most often made with reference to Similarity.
His work in Social psychology covers topics such as Knowledge level which are related to areas like Task analysis.
His study on Concept learning also encompasses disciplines like
- Focus which is related to area like Discrimination learning,
- Cognitive science together with Learning sciences, Flexibility and Physics education.
The study incorporates disciplines such as Context, Science education, Psychology of learning, Educational psychology and Learning by example in addition to Learning sciences.
He most often published in these fields:
- Cognitive psychology (52.63%)
- Categorization (42.11%)
- Social psychology (32.63%)
What were the highlights of his more recent work (between 2010-2019)?
- Cognitive psychology (52.63%)
- Mathematics education (12.63%)
- Categorization (42.11%)
In recent papers he was focusing on the following fields of study:
Brian H. Ross focuses on Cognitive psychology, Mathematics education, Categorization, Social psychology and Concept learning.
His work on Psychology of learning, Mnemonic and Recall as part of his general Cognitive psychology study is frequently connected to Action, thereby bridging the divide between different branches of science.
In his study, Learning sciences is strongly linked to Goal theory, which falls under the umbrella field of Psychology of learning.
His study on Educational psychology is often connected to Intervention and Development as part of broader study in Mathematics education.
His Categorization study combines topics from a wide range of disciplines, such as Natural language processing and Logical reasoning.
His work carried out in the field of Concept learning brings together such families of science as Feature and Focus.
Between 2010 and 2019, his most popular works were:
- Conceptual problem solving in high school physics (48 citations)
- The Reminding Effect: Presentation of Associates Enhances Memory for Related Words in a List (22 citations)
- Comparisons in Category Learning: How Best to Compare For What (21 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Linguistics
- Cognitive psychology
His primary scientific interests are in Cognitive psychology, Mathematics education, Intervention, Mnemonic and Cognitive science.
His multidisciplinary approach integrates Cognitive psychology and Mode in his work.
His work in the fields of Mathematics education, such as Teaching method, intersects with other areas such as Qualitative research, Elaboration and Sequence.
His Intervention research overlaps with Logical reasoning, Categorization, Problem statement and Correctness.
His studies in Mnemonic integrate themes in fields like Homograph, Meaning, Sentence, Ambiguity and Semantics.
His Cognitive science research includes themes of Cued recall, Recall, Spacing effect and Repetition.
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