World's Best Scientists 2026 revealed!
Krzysztof J. Gorgolewski

Krzysztof J. Gorgolewski

D-Index & Metrics

Computer Science

D-Index
49
Citations
21802
World Ranking
5743
National Ranking
2610

Overview

Krzysztof J. Gorgolewski is affiliated with Stanford University in the United States. Their research spans multiple fields within medicine and neuroscience, with notable focus areas including radiology, nuclear medicine, and imaging, along with cognitive neuroscience.

The scientist has contributed to various topics across functional brain connectivity studies, advanced MRI techniques and applications, medical imaging techniques, radiomics, and machine learning in medical imaging. Their work also encompasses advanced neuroimaging techniques, cell image analysis techniques, and scientific computing and data management.

Recent papers authored or co-authored by Krzysztof J. Gorgolewski include:

  • Variability in the analysis of a single neuroimaging dataset by many teams, 2020, published in Nature
  • Analysis of task-based functional MRI data preprocessed with fMRIPrep, 2020, published in Nature Protocols
  • TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models, 2022, published in Nature Methods
  • nipy/nibabel: 3.2.1, 2020, published in Zenodo (CERN European Organization for Nuclear Research)
  • The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data, 2021, published in Human Brain Mapping

They frequently publish in venues such as Zenodo (CERN European Organization for Nuclear Research), bioRxiv (Cold Spring Harbor Laboratory), NeuroImage, OPAL (Open@LaTrobe), and Nature.

Some of the scientist's frequent co-authors include:

  • Christopher J. Markiewicz
  • Oscar Estéban
  • Mathias Goncalves
  • Yaroslav O. Halchenko
  • Satrajit Ghosh

Best Publications

  • fMRIPrep: a robust preprocessing pipeline for functional MRI

    Oscar Esteban;Christopher J. Markiewicz;Ross W. Blair;Craig A. Moodie

  • Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python

    Krzysztof J. Gorgolewski;Christopher D. Burns;Cindee M. Madison;Dav Clark

  • The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.

    Krzysztof J. Gorgolewski;Tibor Auer;Vince D. Calhoun;R. Cameron Craddock

  • Scanning the horizon: towards transparent and reproducible neuroimaging research

    Russell A. Poldrack;Chris I. Baker;Joke Durnez;Krzysztof J. Gorgolewski

  • Variability in the analysis of a single neuroimaging dataset by many teams

    Rotem Botvinik-Nezer;Rotem Botvinik-Nezer;Felix Holzmeister;Colin F. Camerer;Anna Dreber;Anna Dreber

  • MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites.

    Oscar Esteban;Daniel Birman;Marie Schaer;Oluwasanmi Oluseye Koyejo

  • The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance

    James M. Shine;James M. Shine;Patrick G. Bissett;Peter T. Bell;Oluwasanmi Oluseye Koyejo

  • NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain

    Krzysztof J. Gorgolewski;Krzysztof J. Gorgolewski;Gael Varoquaux;Gabriel Rivera;Yannick Schwarz

  • Long-term neural and physiological phenotyping of a single human

    Russell A. Poldrack;Russell A. Poldrack;Timothy O. Laumann;Oluwasanmi Koyejo;Brenda Gregory

  • An open science resource for establishing reliability and reproducibility in functional connectomics

    Xi Nian Zuo;Jeffrey S. Anderson;Pierre Bellec;Rasmus M. Birn

  • Making big data open: Data sharing in neuroimaging

    Russell A Poldrack;Russell A Poldrack;Krzysztof J Gorgolewski

  • A phenome-wide examination of neural and cognitive function

    R.A. Poldrack;E. Congdon;W. Triplett;K.J. Gorgolewski

  • EEG-BIDS, an extension to the brain imaging data structure for electroencephalography.

    Cyril R. Pernet;Stefan Appelhoff;Krzysztof J. Gorgolewski;Guillaume Flandin

  • A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults

    Anahit Babayan;Anahit Babayan;Miray Erbey;Miray Erbey;Deniz Kumral;Deniz Kumral;Janis D Reinelt

  • Medial and lateral networks in anterior prefrontal cortex support metacognitive ability for memory and perception

    Benjamin Baird;Jonathan Smallwood;Krzysztof J. Gorgolewski;Daniel S. Margulies

  • The OpenNeuro resource for sharing of neuroscience data.

    Christopher J Markiewicz;Krzysztof J Gorgolewski;Franklin Feingold;Ross Blair

  • Data sharing in neuroimaging research

    Jean-Baptiste Poline;Jean-Baptiste Poline;Janis L. Breeze;Satrajit S. Ghosh;Krzysztof J. Gorgolewski

  • The Human Voice Areas: Spatial Organization and Inter-Individual Variability in Temporal and Extra-Temporal Cortices

    Cyril R. Pernet;Philip McAleer;Marianne Latinus;Krzysztof J. Gorgolewski

  • Analysis of task-based functional MRI data preprocessed with fMRIPrep.

    Oscar Esteban;Rastko Ciric;Karolina Finc;Ross W Blair

  • BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

    Krzysztof J. Gorgolewski;Fidel Alfaro-Almagro;Tibor Auer;Pierre Bellec

  • Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI

    Alexander Schaefer;Daniel S. Margulies;Gabriele Lohmann;Krzysztof J. Gorgolewski

  • An open science resource for establishing reliability and reproducibility in functional

    Randy L. Buckner;Vince D. Calhoun;F. Xavier Castellanos;Antao Chen

Frequent Co-Authors

Russell A. Poldrack
Russell A. Poldrack Stanford University
Jean-Baptiste Poline
Jean-Baptiste Poline Montreal Neurological Institute and Hospital
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Daniel S. Margulies
Daniel S. Margulies Centre national de la recherche scientifique, CNRS
Guillaume Flandin
Guillaume Flandin University College London
Tal Yarkoni
Tal Yarkoni The University of Texas at Austin
Tristan Glatard
Tristan Glatard Concordia University
R. Cameron Craddock
R. Cameron Craddock Facebook (United States)
Gaël Varoquaux
Gaël Varoquaux French Institute for Research in Computer Science and Automation - INRIA

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens up multiple online education options and career paths. For those seeking fast routes into the workforce, earning certifications for jobs in areas like cybersecurity, cloud computing, or programming can add specialized skills and boost employability without extensive time commitments.

If you want to advance your qualifications quickly, consider the quickest masters degree online programs. These allow motivated students to earn recognized credentials in as little as a year, helping you enter the job market or shift careers sooner.

For long-term career growth, exploring some of the most useful graduate degrees is worthwhile. Degrees in data science, information systems, or AI are in high demand across various industries.

Lastly, an online associate degree in computer science or IT can be a budget-friendly and flexible starting point. These programs let you quickly acquire foundational knowledge and skills for entry-level tech positions or continued study.

Best Scientists Citing Krzysztof J. Gorgolewski

Trending Scientists

Recently Published Articles