What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Software
His primary areas of study are Software, Neuroimaging, Data sharing, Data science and Neuroscience.
His Software study frequently links to other fields, such as Data processing.
Krzysztof J. Gorgolewski works mostly in the field of Data processing, limiting it down to topics relating to Python and, in certain cases, Workflow.
The study incorporates disciplines such as Field, Datasets as Topic, Open science and Connectomics in addition to Neuroimaging.
The various areas that Krzysztof J. Gorgolewski examines in his Field study include Spurious relationship, Functional magnetic resonance imaging, Cognitive science and Identification.
His Datasets as Topic study combines topics in areas such as Metadata, Resting state fMRI, Functional imaging, File format and Data structure.
His most cited work include:
- Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python. (704 citations)
- Scanning the horizon: towards transparent and reproducible neuroimaging research (595 citations)
- The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. (460 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Neuroimaging, Artificial intelligence, Data science, Neuroscience and Data mining.
His Neuroimaging study combines topics from a wide range of disciplines, such as Metadata, Field, Functional magnetic resonance imaging, Information retrieval and Data structure.
His Artificial intelligence research includes themes of Natural language processing, Machine learning, Connectome and Pattern recognition.
His Data science study incorporates themes from Visualization and Open science.
His study in the field of Resting state fMRI, Cognition, Human brain and Posterior cingulate also crosses realms of Open peer review.
His Data mining research incorporates elements of Workflow and Brain mapping.
He most often published in these fields:
- Neuroimaging (39.26%)
- Artificial intelligence (24.44%)
- Data science (19.26%)
What were the highlights of his more recent work (between 2018-2021)?
- Neuroimaging (39.26%)
- Artificial intelligence (24.44%)
- Data science (19.26%)
In recent papers he was focusing on the following fields of study:
Krzysztof J. Gorgolewski focuses on Neuroimaging, Artificial intelligence, Data science, Pattern recognition and Functional magnetic resonance imaging.
He applies his multidisciplinary studies on Neuroimaging and Resource in his research.
His Data science research includes elements of Field, Open science and Flexibility.
His Metadata study also includes
- Electrophysiology, which have a strong connection to Data mining,
- Natural language processing and related Cognition.
His study explores the link between Neural correlates of consciousness and topics such as Software that cross with problems in Key.
His research in Statistical hypothesis testing intersects with topics in Functional neuroimaging and Workflow.
Between 2018 and 2021, his most popular works were:
- fMRIPrep: a robust preprocessing pipeline for functional MRI (439 citations)
- Variability in the analysis of a single neuroimaging dataset by many teams (147 citations)
- EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. (62 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Machine learning
Krzysztof J. Gorgolewski spends much of his time researching Neuroimaging, Data structure, Artificial intelligence, Metadata and Electroencephalography.
His studies in Neuroimaging integrate themes in fields like Data science and Flexibility.
His research in Data structure tackles topics such as Human brain which are related to areas like Data mining.
As part of the same scientific family, Krzysztof J. Gorgolewski usually focuses on Data mining, concentrating on Interpretability and intersecting with Workflow.
Krzysztof J. Gorgolewski has included themes like Trait, Functional magnetic resonance imaging, Set and Natural language processing in his Artificial intelligence study.
Within one scientific family, Krzysztof J. Gorgolewski focuses on topics pertaining to Psychological testing under Electroencephalography, and may sometimes address concerns connected to Cognition.
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