A citation-based method for searching scientific literature

Krzysztof J Gorgolewski, Tibor Auer, Vince D Calhoun, R Cameron Craddock, Samir Das, Eugene P Duff, Guillaume Flandin, Satrajit S Ghosh, Tristan Glatard, Yaroslav O Halchenko, Daniel A Handwerker, Michael Hanke, David Keator, Xiangrui Li, Zachary Michael, Camille Maumet, B Nolan Nichols, Thomas E Nichols, John Pellman, Jean-Baptiste Poline, Ariel Rokem, Gunnar Schaefer, Vanessa Sochat, William Triplett, Jessica A Turner, Gaël Varoquaux, Russell A Poldrack. Sci Data 2016
Times Cited: 410







List of co-cited articles
521 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


fMRIPrep: a robust preprocessing pipeline for functional MRI.
Oscar Esteban, Christopher J Markiewicz, Ross W Blair, Craig A Moodie, A Ilkay Isik, Asier Erramuzpe, James D Kent, Mathias Goncalves, Elizabeth DuPre, Madeleine Snyder,[...]. Nat Methods 2019
527
27

EEG-BIDS, an extension to the brain imaging data structure for electroencephalography.
Cyril R Pernet, Stefan Appelhoff, Krzysztof J Gorgolewski, Guillaume Flandin, Christophe Phillips, Arnaud Delorme, Robert Oostenveld. Sci Data 2019
82
21

Best practices in data analysis and sharing in neuroimaging using MRI.
Thomas E Nichols, Samir Das, Simon B Eickhoff, Alan C Evans, Tristan Glatard, Michael Hanke, Nikolaus Kriegeskorte, Michael P Milham, Russell A Poldrack, Jean-Baptiste Poline,[...]. Nat Neurosci 2017
269
17

MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites.
Oscar Esteban, Daniel Birman, Marie Schaer, Oluwasanmi O Koyejo, Russell A Poldrack, Krzysztof J Gorgolewski. PLoS One 2017
203
17

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.
Krzysztof J Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capotă, M Mallar Chakravarty, Nathan W Churchill, Alexander Li Cohen, R Cameron Craddock, Gabriel A Devenyi,[...]. PLoS Comput Biol 2017
107
16

The first step for neuroimaging data analysis: DICOM to NIfTI conversion.
Xiangrui Li, Paul S Morgan, John Ashburner, Jolinda Smith, Christopher Rorden. J Neurosci Methods 2016
249
16

FSL.
Mark Jenkinson, Christian F Beckmann, Timothy E J Behrens, Mark W Woolrich, Stephen M Smith. Neuroimage 2012
16


FreeSurfer.
Bruce Fischl. Neuroimage 2012
13

The WU-Minn Human Connectome Project: an overview.
David C Van Essen, Stephen M Smith, Deanna M Barch, Timothy E J Behrens, Essa Yacoub, Kamil Ugurbil. Neuroimage 2013
13

The minimal preprocessing pipelines for the Human Connectome Project.
Matthew F Glasser, Stamatios N Sotiropoulos, J Anthony Wilson, Timothy S Coalson, Bruce Fischl, Jesper L Andersson, Junqian Xu, Saad Jbabdi, Matthew Webster, Jonathan R Polimeni,[...]. Neuroimage 2013
13

N4ITK: improved N3 bias correction.
Nicholas J Tustison, Brian B Avants, Philip A Cook, Yuanjie Zheng, Alexander Egan, Paul A Yushkevich, James C Gee. IEEE Trans Med Imaging 2010
12

Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python.
Krzysztof Gorgolewski, Christopher D Burns, Cindee Madison, Dav Clark, Yaroslav O Halchenko, Michael L Waskom, Satrajit S Ghosh. Front Neuroinform 2011
620
11



Scanning the horizon: towards transparent and reproducible neuroimaging research.
Russell A Poldrack, Chris I Baker, Joke Durnez, Krzysztof J Gorgolewski, Paul M Matthews, Marcus R Munafò, Thomas E Nichols, Jean-Baptiste Poline, Edward Vul, Tal Yarkoni. Nat Rev Neurosci 2017
518
11

The FAIR Guiding Principles for scientific data management and stewardship.
Mark D Wilkinson, Michel Dumontier, I Jsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, Jan-Willem Boiten, Luiz Bonino da Silva Santos, Philip E Bourne,[...]. Sci Data 2016
11

Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion.
Jonathan D Power, Kelly A Barnes, Abraham Z Snyder, Bradley L Schlaggar, Steven E Petersen. Neuroimage 2012
11

iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology.
Christopher Holdgraf, Stefan Appelhoff, Stephan Bickel, Kristofer Bouchard, Sasha D'Ambrosio, Olivier David, Orrin Devinsky, Benjamin Dichter, Adeen Flinker, Brett L Foster,[...]. Sci Data 2019
40
25

Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI.
Alexander Schaefer, Ru Kong, Evan M Gordon, Timothy O Laumann, Xi-Nian Zuo, Avram J Holmes, Simon B Eickhoff, B T Thomas Yeo. Cereb Cortex 2018
575
10

Machine learning for neuroimaging with scikit-learn.
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux. Front Neuroinform 2014
484
10

Variability in the analysis of a single neuroimaging dataset by many teams.
Rotem Botvinik-Nezer, Felix Holzmeister, Colin F Camerer, Anna Dreber, Juergen Huber, Magnus Johannesson, Michael Kirchler, Roni Iwanir, Jeanette A Mumford, R Alison Adcock,[...]. Nature 2020
228
10

A reproducible evaluation of ANTs similarity metric performance in brain image registration.
Brian B Avants, Nicholas J Tustison, Gang Song, Philip A Cook, Arno Klein, James C Gee. Neuroimage 2011
10

MEG-BIDS, the brain imaging data structure extended to magnetoencephalography.
Guiomar Niso, Krzysztof J Gorgolewski, Elizabeth Bock, Teon L Brooks, Guillaume Flandin, Alexandre Gramfort, Richard N Henson, Mainak Jas, Vladimir Litvak, Jeremy T Moreau,[...]. Sci Data 2018
51
17


An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.
Rahul S Desikan, Florent Ségonne, Bruce Fischl, Brian T Quinn, Bradford C Dickerson, Deborah Blacker, Randy L Buckner, Anders M Dale, R Paul Maguire, Bradley T Hyman,[...]. Neuroimage 2006
9

The organization of the human cerebral cortex estimated by intrinsic functional connectivity.
B T Thomas Yeo, Fenna M Krienen, Jorge Sepulcre, Mert R Sabuncu, Danial Lashkari, Marisa Hollinshead, Joshua L Roffman, Jordan W Smoller, Lilla Zöllei, Jonathan R Polimeni,[...]. J Neurophysiol 2011
9

Methods to detect, characterize, and remove motion artifact in resting state fMRI.
Jonathan D Power, Anish Mitra, Timothy O Laumann, Abraham Z Snyder, Bradley L Schlaggar, Steven E Petersen. Neuroimage 2014
9


Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.
Fidel Alfaro-Almagro, Mark Jenkinson, Neal K Bangerter, Jesper L R Andersson, Ludovica Griffanti, Gwenaëlle Douaud, Stamatios N Sotiropoulos, Saad Jbabdi, Moises Hernandez-Fernandez, Emmanuel Vallee,[...]. Neuroimage 2018
310
8

Power failure: why small sample size undermines the reliability of neuroscience.
Katherine S Button, John P A Ioannidis, Claire Mokrysz, Brian A Nosek, Jonathan Flint, Emma S J Robinson, Marcus R Munafò. Nat Rev Neurosci 2013
8


A component based noise correction method (CompCor) for BOLD and perfusion based fMRI.
Yashar Behzadi, Khaled Restom, Joy Liau, Thomas T Liu. Neuroimage 2007
8

FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data.
Robert Oostenveld, Pascal Fries, Eric Maris, Jan-Mathijs Schoffelen. Comput Intell Neurosci 2011
7

ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data.
Raimon H R Pruim, Maarten Mennes, Daan van Rooij, Alberto Llera, Jan K Buitelaar, Christian F Beckmann. Neuroimage 2015
659
7

The Human Connectome Project: a data acquisition perspective.
D C Van Essen, K Ugurbil, E Auerbach, D Barch, T E J Behrens, R Bucholz, A Chang, L Chen, M Corbetta, S W Curtiss,[...]. Neuroimage 2012
942
6

The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.
A Di Martino, C-G Yan, Q Li, E Denio, F X Castellanos, K Alaerts, J S Anderson, M Assaf, S Y Bookheimer, M Dapretto,[...]. Mol Psychiatry 2014
886
6

Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.
B Biswal, F Z Yetkin, V M Haughton, J S Hyde. Magn Reson Med 1995
6

Advances in functional and structural MR image analysis and implementation as FSL.
Stephen M Smith, Mark Jenkinson, Mark W Woolrich, Christian F Beckmann, Timothy E J Behrens, Heidi Johansen-Berg, Peter R Bannister, Marilena De Luca, Ivana Drobnjak, David E Flitney,[...]. Neuroimage 2004
6

Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.
Bruce Fischl, David H Salat, Evelina Busa, Marilyn Albert, Megan Dieterich, Christian Haselgrove, Andre van der Kouwe, Ron Killiany, David Kennedy, Shuna Klaveness,[...]. Neuron 2002
6

Harmonization of cortical thickness measurements across scanners and sites.
Jean-Philippe Fortin, Nicholas Cullen, Yvette I Sheline, Warren D Taylor, Irem Aselcioglu, Philip A Cook, Phil Adams, Crystal Cooper, Maurizio Fava, Patrick J McGrath,[...]. Neuroimage 2018
249
6


Making big data open: data sharing in neuroimaging.
Russell A Poldrack, Krzysztof J Gorgolewski. Nat Neurosci 2014
182
6

Data sharing in neuroimaging research.
Jean-Baptiste Poline, Janis L Breeze, Satrajit Ghosh, Krzysztof Gorgolewski, Yaroslav O Halchenko, Michael Hanke, Christian Haselgrove, Karl G Helmer, David B Keator, Daniel S Marcus,[...]. Front Neuroinform 2012
138
6

Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity.
Emily S Finn, Xilin Shen, Dustin Scheinost, Monica D Rosenberg, Jessica Huang, Marvin M Chun, Xenophon Papademetris, R Todd Constable. Nat Neurosci 2015
6


Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates.
Anders Eklund, Thomas E Nichols, Hans Knutsson. Proc Natl Acad Sci U S A 2016
6


MEG and EEG data analysis with MNE-Python.
Alexandre Gramfort, Martin Luessi, Eric Larson, Denis A Engemann, Daniel Strohmeier, Christian Brodbeck, Roman Goj, Mainak Jas, Teon Brooks, Lauri Parkkonen,[...]. Front Neurosci 2013
595
6

Building a Science of Individual Differences from fMRI.
Julien Dubois, Ralph Adolphs. Trends Cogn Sci 2016
269
6


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.