What is he best known for?
The fields of study he is best known for:
- Linguistics
- Artificial intelligence
- Cognition
His main research concerns Lexical decision task, Linguistics, Artificial intelligence, Natural language processing and Word recognition.
His Lexical decision task research includes themes of Cognitive psychology, Age of Acquisition, Word lists by frequency and German.
His Linguistics research is multidisciplinary, incorporating perspectives in Stimulus, Explained variation and Priming.
His research in Artificial intelligence intersects with topics in Speech recognition and Pseudoword.
Marc Brysbaert has included themes like American English, Vocabulary, Selection and Psycholinguistics in his Natural language processing study.
His Word recognition research is multidisciplinary, incorporating elements of Semantics, Concreteness, Neuroscience of multilingualism and First language.
His most cited work include:
- Moving beyond Kučera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English (1513 citations)
- Moving beyond Kučera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English (1513 citations)
- Norms of valence, arousal, and dominance for 13,915 English lemmas (820 citations)
What are the main themes of his work throughout his whole career to date?
Marc Brysbaert spends much of his time researching Linguistics, Cognitive psychology, Lexical decision task, Word recognition and Artificial intelligence.
His Linguistics research incorporates elements of Word and Priming.
His Cognitive psychology research is multidisciplinary, relying on both Cognition, Age of Acquisition, Perception and Reading.
His work investigates the relationship between Lexical decision task and topics such as Word lists by frequency that intersect with problems in Speech recognition.
The various areas that Marc Brysbaert examines in his Word recognition study include Test, Communication and Eye movement, Fixation.
Marc Brysbaert focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Natural language processing and, in certain cases, Vocabulary, Crowdsourcing and American English.
He most often published in these fields:
- Linguistics (34.53%)
- Cognitive psychology (31.53%)
- Lexical decision task (22.22%)
What were the highlights of his more recent work (between 2017-2021)?
- Cognitive psychology (31.53%)
- Linguistics (34.53%)
- Lexical decision task (22.22%)
In recent papers he was focusing on the following fields of study:
Marc Brysbaert mainly investigates Cognitive psychology, Linguistics, Lexical decision task, Test and Artificial intelligence.
Marc Brysbaert has researched Cognitive psychology in several fields, including Laterality, Long-term memory and Perception.
His Linguistics study integrates concerns from other disciplines, such as Word and Bilingual lexical access.
The study incorporates disciplines such as Concreteness, Crowdsourcing, Similarity, Word and Multilingualism in addition to Lexical decision task.
His biological study spans a wide range of topics, including Word recognition and Vocabulary.
As a part of the same scientific study, Marc Brysbaert usually deals with the Artificial intelligence, concentrating on Natural language processing and frequently concerns with Semantic memory and Data collection.
Between 2017 and 2021, his most popular works were:
- Power Analysis and Effect Size in Mixed Effects Models: A Tutorial (224 citations)
- How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables. (93 citations)
- The “Small World of Words” English word association norms for over 12,000 cue words (71 citations)
In his most recent research, the most cited papers focused on:
- Linguistics
- Cognition
- Artificial intelligence
His scientific interests lie mostly in Lexical decision task, Cognitive psychology, Artificial intelligence, Lateralization of brain function and Reading.
His Lexical decision task study incorporates themes from Linguistics, Semantic network, Concreteness, Crowdsourcing and Similarity.
Linguistics and Point are two areas of study in which Marc Brysbaert engages in interdisciplinary research.
His Cognitive psychology research integrates issues from Neuroscience of multilingualism and Perception.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning, Software, Replicate and Natural language processing.
His work carried out in the field of Natural language processing brings together such families of science as Word, Word lists by frequency and Data collection.
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