Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Voxel-Based Morphometry—The Methods
20006.9k citationsJohn Ashburner, Karl FristonNeuroImageprofile →
Countries citing papers authored by John Ashburner
Since
Specialization
Citations
This map shows the geographic impact of John Ashburner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Ashburner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Ashburner more than expected).
This network shows the impact of papers produced by John Ashburner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Ashburner. The network helps show where John Ashburner may publish in the future.
Co-authorship network of co-authors of John Ashburner
This figure shows the co-authorship network connecting the top 25 collaborators of John Ashburner.
A scholar is included among the top collaborators of John Ashburner based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with John Ashburner. John Ashburner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Andersson, Jesper, Stefan Skare, & John Ashburner. (2003). How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. NeuroImage. 20(2). 870–888.2326 indexed citations breakdown →
Ashburner, John & Karl Friston. (1997). Multimodal Image Coregistration and Partitioning—A Unified Framework. NeuroImage. 6(3). 209–217.780 indexed citations breakdown →
15.
Ashburner, John, et al.. (1997). MRI and PET coregistration - A cross-validation of SPM and AIR. UCL Discovery (University College London).2 indexed citations
16.
Ashburner, John & Karl Friston. (1997). The Role of Registration and Spatial Normalisation in Detecting Activations in Functional Imaging. UCL Discovery (University College London).8 indexed citations
17.
Ashburner, John, Chloe Hutton, S. Grootoonk, Richard Turner, & Karl Friston. (1997). Correction for movement-related effects arising from data interpolation in fMRI time-series. UCL Discovery (University College London).1 indexed citations
18.
Ashburner, John & Karl Friston. (1997). A bayesian model for robust MRI tissue classification. UCL Discovery (University College London).
19.
Passingham, R.E., Ivan Toni, Michael Krams, et al.. (1997). The time-course of activity in motor areas during motor learning. UCL Discovery (University College London).3 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.