Paul A. Taylor
Neuroscience · The Ohio State University
Publications
319
Citations
9,345
Est. group size
—
Recurring co-author estimate
Active years
52
Publishing since 1975
Paul A. Taylor's work centers on developing and validating methods for processing and analyzing brain imaging data, particularly functional MRI (fMRI) and diffusion MRI, which are techniques used to study brain activity and structural connections. This includes building software tools for quality control, image alignment, and layer-specific analysis, as well as applying these methods to questions about brain networks, brain injury, and cognitive tasks. Note that the publication list also includes several unrelated cosmology papers (e.g., on dark energy and galaxy surveys), likely due to author-name overlap in the underlying database rather than this researcher's actual output.
Publication output has fluctuated over the last decade, with a dip around 2022-2023 followed by a rebound to around 14-15 papers per year in 2024-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Seeking Necessary and Sufficient Information from Multimodal Medical Data
arXiv (Cornell University) · 2026
- Seeking Necessary and Sufficient Information from Multimodal Medical Data
arXiv (Cornell University) · 2026
- layer-MAP (Modular Analysis Pipeline)
Open MIND · 2026
- layer-MAP (Modular Analysis Pipeline)
Zenodo (CERN European Organization for Nuclear Research) · 2026
- DESI 2024 VII: cosmological constraints from the full-shape modeling of clustering measurements
Journal of Cosmology and Astroparticle Physics · 2025
- Extended dark energy analysis using DESI DR2 BAO measurements
Physical review. D/Physical review. D. · 2025
- Cosmological implications of DESI DR2 BAO measurements in light of the latest ACT DR6 CMB data
Physical review. D/Physical review. D. · 2025
- <i>TORTOISEV4</i> : Reimagining the NIH diffusion MRI processing pipeline
Imaging Neuroscience · 2025
- Validation of the DESI DR2 Measurements of Baryon Acoustic Oscillations from Galaxies and Quasars
arXiv (Cornell University) · 2025
- Improving accuracy and precision of heritability estimation in twin studies through hierarchical modeling: reassessing the measurement error assumption
Frontiers in Genetics · 2025
- The human brain mechanisms of afterimages: From networks to cortical layers
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- layerfMRI-toolbox helps to automatize high-resolution whole-brain layer segmentation in volume space with minimum manual editing.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 2025
- SIMBA: Scalable Image Modeling using a Bayesian Approach, A Consistent Framework for Including Spatial Dependencies in fMRI Studies
arXiv (Cornell University) · 2025
- Through the lens of causal inference: Decisions and pitfalls of covariate selection
Aperture Neuro · 2024
- Improving 3D edge detection for visual inspection of MRI coregistration and alignment
Journal of Neuroscience Methods · 2024
- bioRxiv (Cold Spring Harbor Laboratory)×26
- NeuroImage×16
- Oxford University Press eBooks×10
- arXiv (Cornell University)×9
- Human Brain Mapping×7
- Javier Guaje
Neuroscience · Indiana University
- Zheng Wang
Neuroscience · The Ohio State University
- Damon Pham
Neuroscience · Indiana University
- Caio Seguin
Neuroscience · Indiana University
- Amanda F. Mejia
Neuroscience · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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