Human Brain Mapping

JournalCitation impact & published research

Human Brain Mapping is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 7,860 works, 540,145 citations, an h-index of 276 and an APC (USD) of 3,850.

7,860

Works

540,145

Citations

276

h-index

3,850

APC (USD)

IDs:OpenAlex

What are the most-cited papers on Human Brain Mapping?

ScholarIQmost cited works

Statistical parametric maps in functional imaging: A general linear approach

Karl Friston, Andrew P. Holmes, Keith J. Worsley, J.‐P. Poline, Chris Frith, R. S. J. Frackowiak

Human Brain Mapping. 19949,835 Citations

Spatial registration and normalization of images

Karl Friston, John Ashburner, Chris Frith, Jean‐Baptiste Poline, J. D. Heather, R. S. J. Frackowiak

Human Brain Mapping. 19953,780 Citations

A method for making group inferences from functional MRI data using independent component analysis

Vince D. Calhoun, Tülay Adalı, Godfrey D. Pearlson, James J. Pekar

Human Brain Mapping. 20013,087 CitationsOPEN ACCESS

Coordinate‐based activation likelihood estimation meta‐analysis of neuroimaging data: A random‐effects approach based on empirical estimates of spatial uncertainty

Simon B. Eickhoff, Angela R. Laird, Christian Grefkes, Ling Wang, Karl Zilles, Peter T. Fox

Human Brain Mapping. 20092,008 CitationsOPEN ACCESS

Assessing the significance of focal activations using their spatial extent

Karl Friston, Keith J. Worsley, R. S. J. Frackowiak, J.C. Mazziotta, Alan C. Evans

Human Brain Mapping. 19941,949 Citations

Related on ScholarIQ

Statistical parametric maps in functional imaging: A general linear approach

Paper

Spatial registration and normalization of images

Paper

A method for making group inferences from functional MRI data using independent component analysis

Paper

Coordinate‐based activation likelihood estimation meta‐analysis of neuroimaging data: A random‐effects approach based on empirical estimates of spatial uncertainty

Paper

Assessing the significance of focal activations using their spatial extent

Paper

Minimizing within‐experiment and within‐group effects in activation likelihood estimation meta‐analyses

Paper