Nicola Filippini

Cognitive Neuroscience · 2009–2017

A researcher in the Science corpus: 6 papers; trusts 6 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 77 citations into it; #1,361 of 10,852 by trust here, #417 by citations
• Radiology, Nuclear Medicine and Imaging — 69 citations into it; #762 of 3,265 by trust here, #165 by citations
• Signal Processing — 11 citations into it; #4,278 of 7,572 by trust here, #3,309 by citations
• Computer Vision and Pattern Recognition — 10 citations into it
• Statistics and Probability — 5 citations into it

Whom Nicola Filippini trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Stephen M. Smith
2. Christian F. Beckmann
3. Mark William Woolrich
4. Mark Jenkinson
5. L. R. Squire
6. Michael D. Greicius
7. Jesper L. R. Andersson
8. Aapo Hyvärinen
9. Michael D. Fox
10. Marilena DeLuca

Who trusts Nicola Filippini overall

1. Stephen M. Smith
2. Maarten Mennes
3. Raimon H. R. Pruim
4. Robert Leech
5. Elena A. Allen
6. Christian F. Beckmann
7. F. X. Castellanos
8. Amanda V. Utevsky
9. Xi-Nian Zuo
10. Clare Kelly

Papers from Nicola Filippini's perspective

Ordered by how strongly the researchers Nicola Filippini trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fast robust automated brain extraction
2. Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging (PLoS ONE)
3. Multiband Multislice GE-EPI at 7 Tesla, With 16-Fold Acceleration Using Partial Parallel Imaging With Application to High Spatial and Temporal Whole-Brain FMRI (Magnetic Resonance in Medicine)
4. The global signal and observed anticorrelated resting state brain networks. (Journal of Neurophysiology)
5. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI (Proc. Natl. Acad. Sci. USA)
6. Accurate and Robust Brain Image Alignment using Boundary-based Registration (NeuroImage)
7. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data (NeuroImage)
8. Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (NeuroImage)
9. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference (NeuroImage)
10. Multilevel linear modelling for FMRI group analysis using Bayesian inference

Their papers

• Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement (2017) — 366 citations
• ICA-based artifact removal diminishes scan site differences in multi-center resting-state fMRI (2015) — 62 citations
• ICA-based artefact and accelerated fMRI acquisition for improved Resting State Network imaging (2014) — 1,311 citations
• Group comparison of resting-state FMRI data using multi-subject ICA and dual regression (2009) — 777 citations
• Correspondence of the brain's functional architecture during activation and rest (2009) — 5,306 citations
• Distinct patterns of brain activity in young carriers of the APOE-ε4 allele (2009) — 1,661 citations