What is he best known for?
The fields of study he is best known for:
- Cognition
- Statistics
- Artificial intelligence
The scientist’s investigation covers issues in Working memory, Cognitive psychology, Short-term memory, Cognition and Visual memory.
His study in the field of Memory span also crosses realms of Construct.
His Cognitive psychology research incorporates themes from Visual perception, Perception and Event-related potential.
He has included themes like Directed attention fatigue, Communication, Electrophysiology and Selective auditory attention in his Event-related potential study.
His Visual memory study combines topics in areas such as Adaptive memory, Social psychology, Bioinformatics and Arithmetic.
His Bioinformatics research is multidisciplinary, incorporating elements of Encoding and Visual Physiology.
His most cited work include:
- The capacity of visual working memory for features and conjunctions (2882 citations)
- Neural activity predicts individual differences in visual working memory capacity (1328 citations)
- Neural measures reveal individual differences in controlling access to working memory. (947 citations)
What are the main themes of his work throughout his whole career to date?
Edward K. Vogel mainly focuses on Working memory, Cognitive psychology, Artificial intelligence, Electroencephalography and Cognition.
His work in the fields of Working memory, such as Short-term memory, overlaps with other areas such as Open data.
His work deals with themes such as Attentional control, Visual short-term memory, Perception and Focus, which intersect with Cognitive psychology.
The Artificial intelligence study combines topics in areas such as Communication, Natural language processing, Computer vision and Pattern recognition.
His Electroencephalography study incorporates themes from Stimulus, Speech recognition and Electrophysiology.
His Visual memory study which covers Spatial memory that intersects with Explicit memory.
He most often published in these fields:
- Working memory (63.41%)
- Cognitive psychology (47.97%)
- Artificial intelligence (16.67%)
What were the highlights of his more recent work (between 2018-2021)?
- Working memory (63.41%)
- Cognitive psychology (47.97%)
- Electroencephalography (13.82%)
In recent papers he was focusing on the following fields of study:
Edward K. Vogel focuses on Working memory, Cognitive psychology, Electroencephalography, Artificial intelligence and Cognition.
While working in this field, Edward K. Vogel studies both Working memory and Open data.
The study incorporates disciplines such as Attentional control and Focus in addition to Cognitive psychology.
His biological study spans a wide range of topics, including Stimulus, Expectancy theory, Context and Elementary cognitive task.
His Artificial intelligence study deals with Pattern recognition intersecting with Multivariate statistics, Multivariate analysis and Feature.
His Cognition study combines topics from a wide range of disciplines, such as Sample size determination and Audiology.
Between 2018 and 2021, his most popular works were:
- Neural Evidence for the Contribution of Active Suppression During Working Memory Filtering. (45 citations)
- Dissecting the Neural Focus of Attention Reveals Distinct Processes for Spatial Attention and Object-Based Storage in Visual Working Memory. (36 citations)
- Real-time triggering reveals concurrent lapses of attention and working memory. (24 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Artificial intelligence
- Statistics
His primary scientific interests are in Working memory, Cognitive psychology, Electroencephalography, Encoding and Speech recognition.
His Working memory research entails a greater understanding of Cognition.
Edward K. Vogel combines subjects such as Alpha power, Cognitive effort, Context, Scale invariance and Brain activity and meditation with his study of Cognitive psychology.
His Electroencephalography research is multidisciplinary, relying on both Expectancy theory, Statistical hypothesis testing, Univariate and Elementary cognitive task.
His Encoding research includes themes of Contrast, Feature, Replicate, Object and Key.
His Speech recognition research is multidisciplinary, incorporating perspectives in Bandwidth, Long-term memory, Visual short-term memory and Mental representation.
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