Timothy E.J. Behrens

104.5k citations
218 papers · 80.1k · 33 hit papers · h-index 107

Impact in

Papers in

    • Neural and Behavioral Psychology Studies 57
    • Memory and Neural Mechanisms 38
    • Functional Brain Connectivity Studies 37
    • Neural dynamics and brain function 8
    • Advanced Neuroimaging Techniques and Applications 72
    • Advanced MRI Techniques and Applications 9

Timothy E.J. Behrens

209 papers receiving 79.1k citations

Timothy E.J. Behrens's Hit Papers

How to build a cognitive map 2022 · 118 citations
1180+4+9Years since publication1k2k3k4k

Peers

Timothy E.J. Behrens
Comparison fields: 5 of 202
  • Cognitive Neuroscience 37.3k
  • Radiology, Nuclear Medicine and Imaging 23.3k
  • General Decision Sciences 1.7k
  • Psychiatry and Mental health 7.7k
  • Neurology 4.3k
Replace Mark W. Woolrich with:
Mark W. Woolrich United Kingdom
Gary H. Glover United States
Nichols Thomas United Kingdom
Mark Jenkinson United Kingdom
Randy L. Buckner United States
Anders Martin Dale United States
Edward Thomas Bullmore United Kingdom
John Ashburner United Kingdom
Marcus E. Raichle United States
Russell Alan Poldrack United States
Timothy E.J. Behrens relative to Mark W. Woolrich United Kingdom Mark W. Woolrich's profile →
Citations per field
00.5×2×2.6×
Mark W. Woolrich · 1×
Citations per year

Countries citing papers authored by Timothy E.J. Behrens

Since Specialization
Citations

This map shows the geographic impact of Timothy E.J. Behrens'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 Timothy E.J. Behrens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy E.J. Behrens more than expected).

Fields of papers citing papers by Timothy E.J. Behrens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy E.J. Behrens. 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 Timothy E.J. Behrens. The network helps show where Timothy E.J. Behrens may publish in the future.

Co-authors

The 25 scholars most cited alongside Timothy E.J. Behrens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Timothy E.J. Behrens Line = papers co-authored together Timothy E.J. Behrens links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Advances in functional and structural MR image analysis and implementation as FSL
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200411443
2
FSL
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20118947
3
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
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20065627
4
The WU-Minn Human Connectome Project: An overview
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20134112
5
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
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20062910
6
Characterization and propagation of uncertainty in diffusion‐weighted MR imaging
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20032633
7
Bayesian analysis of neuroimaging data in FSL
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20082060
8
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
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20032012
9
The Human Connectome Project: A data acquisition perspective
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20121882
10
Learning the value of information in an uncertain world
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20071475
11
Multilevel linear modelling for FMRI group analysis using Bayesian inference
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20041410
12
Training induces changes in white-matter architecture
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20091207
13
Frontal Cortex and Reward-Guided Learning and Decision-Making
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2011874
14
Triangulating a Cognitive Control Network Using Diffusion-Weighted Magnetic Resonance Imaging (MRI) and Functional MRI
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2007829
15
The Human Connectome Project's neuroimaging approach
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2016766
16 2006752
17
Associative learning of social value
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2008734
18
Advances in diffusion MRI acquisition and processing in the Human Connectome Project
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2013730
19
The evolution of the arcuate fasciculus revealed with comparative DTI
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2008689
20 2008678

About Timothy E.J. Behrens

Timothy E.J. Behrens is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Neurology and General Decision Sciences, having authored 218 papers that have together received 80.1k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (72 papers), Neural and Behavioral Psychology Studies (57 papers), Memory and Neural Mechanisms (38 papers), Functional Brain Connectivity Studies (37 papers), Neurotransmitter Receptor Influence on Behavior (15 papers), Advanced MRI Techniques and Applications (9 papers), Neural dynamics and brain function (8 papers) and Academic Publishing and Open Access (6 papers). The work is most often cited by research in Cognitive Neuroscience (37.3k citations), Radiology, Nuclear Medicine and Imaging (23.3k citations), General Decision Sciences (1.7k citations), Psychiatry and Mental health (7.7k citations) and Neurology (4.3k citations). Timothy E.J. Behrens has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Stephen M. Smith, Mark W. Woolrich, Mark Jenkinson, Heidi Johansen‐Berg, Matthew F. S. Rushworth, Christian F. Beckmann, Paul McMahan Matthews, Saâd Jbabdi, Mark E. Walton and David C. Van Essen. Their work appears in journals such as NeuroImage, Nature Neuroscience, Neuron, Journal of Neuroscience and eLife.

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.

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