| An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI L Parkes, B Fulcher, M Yücel, A Fornito Neuroimage 171, 415-436, 2018 | 532 | 2018 |
| Highly comparative feature-based time-series classification BD Fulcher, NS Jones IEEE Transactions on Knowledge and Data Engineering 26 (12), 3026-3037, 2014 | 373 | 2014 |
| A practical guide to linking brain-wide gene expression and neuroimaging data A Arnatkevic̆iūtė, BD Fulcher, A Fornito Neuroimage 189, 353-367, 2019 | 286 | 2019 |
| Highly comparative time-series analysis: the empirical structure of time series and their methods BD Fulcher, MA Little, NS Jones Journal of the Royal Society Interface 10 (83), 20130048, 2013 | 278 | 2013 |
| Consistency and differences between centrality measures across distinct classes of networks S Oldham, B Fulcher, L Parkes, A Arnatkevic̆iūtė, C Suo, A Fornito PloS one 14 (7), e0220061, 2019 | 184 | 2019 |
| Bridging the gap between connectome and transcriptome A Fornito, A Arnatkevičiūtė, BD Fulcher Trends in cognitive sciences 23 (1), 34-50, 2019 | 184 | 2019 |
| A transcriptional signature of hub connectivity in the mouse connectome BD Fulcher, A Fornito Proceedings of the National Academy of Sciences 113 (5), 1435-1440, 2016 | 179 | 2016 |
| hctsa: A computational framework for automated time-series phenotyping using massive feature extraction BD Fulcher, NS Jones Cell systems 5 (5), 527-531. e3, 2017 | 178 | 2017 |
| Multimodal gradients across mouse cortex BD Fulcher, JD Murray, V Zerbi, XJ Wang Proceedings of the National Academy of Sciences 116 (10), 4689-4695, 2019 | 144 | 2019 |
| Developmental changes in brain network hub connectivity in late adolescence STE Baker, DI Lubman, M Yücel, NB Allen, S Whittle, BD Fulcher, ... Journal of Neuroscience 35 (24), 9078-9087, 2015 | 133 | 2015 |
| catch22: CAnonical Time-series CHaracteristics: Selected through highly comparative time-series analysis CH Lubba, SS Sethi, P Knaute, SR Schultz, BD Fulcher, NS Jones Data Mining and Knowledge Discovery 33 (6), 1821-1852, 2019 | 132 | 2019 |
| Feature-based time-series analysis BD Fulcher Feature engineering for machine learning and data analytics, 87-116, 2018 | 109 | 2018 |
| Predicting depression from language-based emotion dynamics: longitudinal analysis of Facebook and Twitter status updates EM Seabrook, ML Kern, BD Fulcher, NS Rickard Journal of medical Internet research 20 (5), e168, 2018 | 95 | 2018 |
| Sleep patterns predictive of daytime challenging behavior in individuals with low‐functioning autism S Cohen, BD Fulcher, SMW Rajaratnam, R Conduit, JP Sullivan, ... Autism Research 11 (2), 391-403, 2018 | 87 | 2018 |
| Responders to rTMS for depression show increased fronto-midline theta and theta connectivity compared to non-responders NW Bailey, KE Hoy, NC Rogasch, RH Thomson, S McQueen, D Elliot, ... Brain stimulation 11 (1), 190-203, 2018 | 77 | 2018 |
| Hardness analysis of cubic metal mononitrides from first principles BD Fulcher, XY Cui, B Delley, C Stampfl Physical Review B 85 (18), 184106, 2012 | 76 | 2012 |
| Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem KM Aquino, BD Fulcher, L Parkes, K Sabaroedin, A Fornito Neuroimage 212, 116614, 2020 | 74 | 2020 |
| Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set SS Sethi, NS Jones, BD Fulcher, L Picinali, DJ Clink, H Klinck, CDL Orme, ... Proceedings of the National Academy of Sciences 117 (29), 17049-17055, 2020 | 72 | 2020 |
| Topographic gradients of intrinsic dynamics across neocortex G Shafiei, RD Markello, R Vos de Wael, BC Bernhardt, BD Fulcher, ... elife 9, e62116, 2020 | 64 | 2020 |
| Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data BD Fulcher, A Arnatkeviciute, A Fornito Nature communications 12 (1), 2669, 2021 | 57* | 2021 |
Alexander FornitoAssociate Professor, Monash Clinical and Imaging Neuroscience, Monash UniversityVerified email at monash.edu
