Kosha Ruparel

Cognitive Neuroscience · 2005–2017

A researcher in the Science corpus: 9 papers; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 175 citations into it; #5,032 of 10,852 by trust here, #1,084 by citations
• Radiology, Nuclear Medicine and Imaging — 146 citations into it; #1,292 of 3,265 by trust here, #381 by citations
• Computer Vision and Pattern Recognition — 25 citations into it
• Signal Processing — 10 citations into it
• Artificial Intelligence — 9 citations into it
• Statistical and Nonlinear Physics — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Kosha Ruparel trusts overall

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

1. Stephen M. Smith
2. Jonathan D. Power
3. Michael D. Fox
4. Mark Jenkinson
5. Theodore D. Satterthwaite
6. Mikail Rubinov
7. Bruce Fischl
8. Vladimir Naumovich Vapni
9. Christopher K. I. Williams
10. David Ruppert

Who trusts Kosha Ruparel overall

1. Jonathan D. Power
2. Chaogan Yan
3. Yong Fan
4. Rastko Ciric
5. Shijun Wang
6. César Caballero-Gaudes
7. Raimon H. R. Pruim

Papers from Kosha Ruparel's perspective

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

1. The global signal and observed anticorrelated resting state brain networks. (Journal of Neurophysiology)
2. Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function (Proceedings of the National Academy of Sciences of the United States of America)
3. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
4. Controlling the false discovery rate: a practical and powerful approach to multiple testing
5. Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (NeuroImage)
6. Complex brain networks: graph theoretical analysis of structural and functional systems
7. Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer’s Disease
8. Correspondence of the brain's functional architecture during activation and rest
9. Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
10. Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data (NeuroImage)

Their papers

• Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection (2005) — 452 citations
• Harmonization of multi-site diffusion tensor imaging data (2017) — 1,157 citations
• Quantitative Assessment of Structural Image Quality (2017) — 399 citations
• Benchmarking of participant‐level confound regression strategies for the control of motion artifact in studies of functional connectivity (2017) — 988 citations
• The Philadelphia Neurodevelopmental Cohort: A Publicly Available Resource for the Study of Normal and Abnormal Brain Development in Youth (2015) — 342 citations
• Neuroimaging of the Philadelphia Neurodevelopmental Cohort (2013) — 512 citations
• Sex differences in the structural connectome of the human brain (2013) — 1,211 citations
• Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (2012) — 1,136 citations
• An Improved Framework for Confound Regression and Filtering for Control of Motion Artifact in the Preprocessing of Resting-State Functional Connectivity Data (2012) — 1,832 citations