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.
The minimal preprocessing pipelines for the Human Connectome Project
20133.3k citationsMatthew F. Glasser, Stamatios N. Sotiropoulos et al.NeuroImageprofile →
A multi-modal parcellation of human cerebral cortex
20163.0k citationsMatthew F. Glasser, Essa Yacoub et al.Natureprofile →
An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging
20152.3k citationsJesper Andersson, Stamatios N. SotiropoulosNeuroImageprofile →
How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging
20032.3k citationsJesper Andersson, Stefan Skare et al.NeuroImageprofile →
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
20091.7k citationsJesper Andersson, John Ashburner et al.NeuroImageprofile →
SARS-CoV-2 is associated with changes in brain structure in UK Biobank
2022912 citationsGwenaëlle Douaud, Soojin Lee et al.Natureprofile →
Modeling Geometric Deformations in EPI Time Series
2001761 citationsJesper Andersson, John Ashburner et al.NeuroImageprofile →
The Human Connectome Project's neuroimaging approach
2016660 citationsMatthew F. Glasser, Stephen M. Smith et al.profile →
Advances in diffusion MRI acquisition and processing in the Human Connectome Project
2013627 citationsStamatios N. Sotiropoulos, Saâd Jbabdi et al.NeuroImageprofile →
Temporally-independent functional modes of spontaneous brain activity
2012576 citationsStephen M. Smith, Karla L. Miller et al.profile →
Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images
2016492 citationsJesper Andersson, Mark S. Graham et al.NeuroImageprofile →
MSM: A new flexible framework for Multimodal Surface Matching
2014393 citationsSaâd Jbabdi, Matthew F. Glasser et al.NeuroImageprofile →
Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement
2017258 citationsJesper Andersson, Mark S. Graham et al.NeuroImageprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Jesper Andersson
Since
Specialization
Citations
This map shows the geographic impact of Jesper Andersson'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 Jesper Andersson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesper Andersson more than expected).
Fields of papers citing papers by Jesper Andersson
This network shows the impact of papers produced by Jesper Andersson. 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 Jesper Andersson. The network helps show where Jesper Andersson may publish in the future.
Co-authorship network of co-authors of Jesper Andersson
This figure shows the co-authorship network connecting the top 25 collaborators of Jesper Andersson.
A scholar is included among the top collaborators of Jesper Andersson 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 Jesper Andersson. Jesper Andersson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Douaud, Gwenaëlle, Soojin Lee, Fidel Alfaro‐Almagro, et al.. (2022). SARS-CoV-2 is associated with changes in brain structure in UK Biobank. Nature. 604(7907). 697–707.912 indexed citations breakdown →
Andersson, Jesper, Mark S. Graham, Enikő Zsoldos, & Stamatios N. Sotiropoulos. (2016). Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images. NeuroImage. 141. 556–572.492 indexed citations breakdown →
Andersson, Jesper & Stamatios N. Sotiropoulos. (2015). An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. NeuroImage. 125. 1063–1078.2336 indexed citations breakdown →
Sotiropoulos, Stamatios N., Saâd Jbabdi, Junqian Xu, et al.. (2013). Advances in diffusion MRI acquisition and processing in the Human Connectome Project. NeuroImage. 80. 125–143.627 indexed citations breakdown →
Weyns, Danny, Sam Malek, Jesper Andersson, & Bradley Schmerl. (2010). Proceedings of the second international workshop on Self-organizing architectures.1 indexed citations
17.
Andersson, Jesper, et al.. (2007). ICSE 2007: 29th International Conference on Software Engineering, Proceedings. International Conference on Software Engineering.4 indexed citations
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 →
20.
Andersson, Jesper, et al.. (2000). Dynamic Deployment of Java Applications.15 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.