Jesper Andersson
Impact in
- Cognitive Neuroscience top 0.05%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Radiology, Nuclear Medicine and Imaging top 0.01%
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
Papers in
-
- Advanced Neuroimaging Techniques and Applications 68
- Advanced MRI Techniques and Applications 59
- MRI in cancer diagnosis 15
-
- Functional Brain Connectivity Studies 36
- Co-authors
- Stamatios N. Sotiropoulos (17 shared papers)John Ashburner (8 shared papers)Stefan Skare (8 shared papers)Mark Jenkinson (15 shared papers)Matthew F. Glasser (9 shared papers)David C. Van Essen (8 shared papers)Saâd Jbabdi (22 shared papers)Timothy S. Coalson (3 shared papers)
- Journals
- NeuroImage (35 papers)Magnetic Resonance in Medicine (7 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Cerebral Blood Flow & Metabolism (3 papers)Cerebral Cortex (3 papers)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
Jesper Andersson
165 papers receiving 25.0k citations
Jesper Andersson's Hit Papers
Peers
Comparison fields: 5 of 204
- Cognitive Neuroscience 13.8k
- Radiology, Nuclear Medicine and Imaging 12.8k
- Computational Mathematics 132
- Neurology 1.5k
- Psychiatry and Mental health 2.3k
Countries citing papers authored by Jesper Andersson
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-authors
The 25 scholars most cited alongside Jesper Andersson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The minimal preprocessing pipelines for the Human Connectome Project Hit paper breakdown → | 2013 | 3271 |
| 2 | A multi-modal parcellation of human cerebral cortex Hit paper breakdown → | 2016 | 2972 |
| 3 | An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging Hit paper breakdown → | 2015 | 2336 |
| 4 | How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging Hit paper breakdown → | 2003 | 2326 |
| 5 | Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration Hit paper breakdown → | 2009 | 1665 |
| 6 | SARS-CoV-2 is associated with changes in brain structure in UK Biobank Hit paper breakdown → | 2022 | 912 |
| 7 | Modeling Geometric Deformations in EPI Time Series Hit paper breakdown → | 2001 | 761 |
| 8 | The Human Connectome Project's neuroimaging approach Hit paper breakdown → | 2016 | 660 |
| 9 | Advances in diffusion MRI acquisition and processing in the Human Connectome Project Hit paper breakdown → | 2013 | 627 |
| 10 | Temporally-independent functional modes of spontaneous brain activity Hit paper breakdown → | 2012 | 576 |
| 11 | Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images Hit paper breakdown → | 2016 | 492 |
| 12 | MSM: A new flexible framework for Multimodal Surface Matching Hit paper breakdown → | 2014 | 393 |
| 13 | 2011 | 325 | |
| 14 | 2005 | 319 | |
| 15 | Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement Hit paper breakdown → | 2017 | 258 |
| 16 | 2002 | 226 | |
| 17 | 2005 | 209 | |
| 18 | 2007 | 197 | |
| 19 | 2001 | 194 | |
| 20 | 2015 | 191 |
About Jesper Andersson
Jesper Andersson is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 168 papers that have together received 25.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (68 papers), Advanced MRI Techniques and Applications (59 papers), Functional Brain Connectivity Studies (36 papers), Advanced Software Engineering Methodologies (33 papers), Software System Performance and Reliability (18 papers), Service-Oriented Architecture and Web Services (16 papers), MRI in cancer diagnosis (15 papers) and Medical Image Segmentation Techniques (13 papers). The work is most often cited by research in Cognitive Neuroscience (13.8k citations), Radiology, Nuclear Medicine and Imaging (12.8k citations), Computational Mathematics (132 citations), Neurology (1.5k citations) and Psychiatry and Mental health (2.3k citations). Jesper Andersson has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Stamatios N. Sotiropoulos, John Ashburner, Stefan Skare, Mark Jenkinson, Matthew F. Glasser, David C. Van Essen, Saâd Jbabdi, Timothy S. Coalson, Stephen M. Smith and Kâmil Uǧurbil. Their work appears in journals such as NeuroImage, Magnetic Resonance in Medicine, Proceedings of the National Academy of Sciences, Journal of Cerebral Blood Flow & Metabolism and Cerebral Cortex.
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.