| Big–deep–smart data in imaging for guiding materials design SV Kalinin, BG Sumpter, RK Archibald Nature Materials 14, 973--980, 2015 | 383 | 2015 |
| Feature selection and classification of hyperspectral images with support vector machines R Archibald, G Fann IEEE Geoscience and remote sensing letters 4 (4), 674-677, 2007 | 321 | 2007 |
| Polynomial fitting for edge detection in irregularly sampled signals and images R Archibald, A Gelb, J Yoon SIAM journal on numerical analysis 43 (1), 259-279, 2005 | 181 | 2005 |
| A method to reduce the Gibbs ringing artifact in MRI scans while keeping tissue boundary integrity R Archibald, A Gelb IEEE Transactions on Medical Imaging 21 (4), 305-319, 2002 | 175 | 2002 |
| Big data and deep data in scanning and electron microscopies: deriving functionality from multidimensional data sets A Belianinov, R Vasudevan, E Strelcov, C Steed, SM Yang, A Tselev, ... Advanced Structural and Chemical Imaging 1, 1-25, 2015 | 135 | 2015 |
| Big, deep, and smart data in scanning probe microscopy SV Kalinin, E Strelcov, A Belianinov, S Somnath, RK Vasudevan, ... Acs Nano 10 (10), 9068-9086, 2016 | 134 | 2016 |
| Anomalous discharge product distribution in lithium-air cathodes J Nanda, H Bilheux, S Voisin, GM Veith, R Archibald, L Walker, S Allu, ... The Journal of Physical Chemistry C 116 (15), 8401-8408, 2012 | 102 | 2012 |
| Dynamic scan control in STEM: spiral scans X Sang, AR Lupini, RR Unocic, M Chi, AY Borisevich, SV Kalinin, ... Advanced Structural and Chemical Imaging 2, 1-8, 2016 | 95 | 2016 |
| Characterization of discontinuities in high-dimensional stochastic problems on adaptive sparse grids JD Jakeman, R Archibald, D Xiu Journal of Computational Physics 230 (10), 3977-3997, 2011 | 83 | 2011 |
| Improving tissue segmentation of human brain MRI through preprocessing by the Gegenbauer reconstruction method R Archibald, K Chen, A Gelb, R Renaut NeuroImage 20 (1), 489-502, 2003 | 68 | 2003 |
| Support vector machine-based endmember extraction AM Filippi, R Archibald IEEE Transactions on Geoscience and Remote Sensing 47 (3), 771-791, 2008 | 67 | 2008 |
| Image reconstruction from undersampled Fourier data using the polynomial annihilation transform R Archibald, A Gelb, RB Platte Journal of Scientific Computing 67 (2), 432-452, 2016 | 66 | 2016 |
| Discontinuity detection in multivariate space for stochastic simulations R Archibald, A Gelb, R Saxena, D Xiu Journal of Computational Physics 228 (7), 2676-2689, 2009 | 59 | 2009 |
| Differentially ligand-functionalized microcantilever arrays for metal ion identification and sensing PJ Chapman, Z Long, PG Datskos, R Archibald, MJ Sepaniak Analytical chemistry 79 (18), 7062-7068, 2007 | 59 | 2007 |
| 2022 review of data-driven plasma science R Anirudh, R Archibald, MS Asif, MM Becker, S Benkadda, PT Bremer, ... IEEE Transactions on Plasma Science, 2023 | 55 | 2023 |
| Determining the locations and discontinuities in the derivatives of functions R Archibald, A Gelb, J Yoon Applied Numerical Mathematics 58 (5), 577-592, 2008 | 54 | 2008 |
| Progress towards accelerating HOMME on hybrid multi-core systems I Carpenter, RK Archibald, KJ Evans, J Larkin, P Micikevicius, M Norman, ... The International journal of high performance computing applications 27 (3 …, 2013 | 48 | 2013 |
| BraggNet: integrating Bragg peaks using neural networks B Sullivan, R Archibald, J Azadmanesh, VG Vandavasi, PS Langan, ... Journal of Applied Crystallography 52 (4), 854-863, 2019 | 44 | 2019 |
| Classifying and analyzing small-angle scattering data using weighted k nearest neighbors machine learning techniques RK Archibald, M Doucet, T Johnston, SR Young, E Yang, WT Heller Journal of Applied Crystallography 53 (2), 2020 | 40 | 2020 |
| Uncooled MEMS IR imagers with optical readout and image processing N Lavrik, R Archibald, D Grbovic, S Rajic, P Datskos Infrared Technology and Applications XXXIII 6542, 524-531, 2007 | 40 | 2007 |
Anne GelbJohn G. Kemeny Parents Professor of Mathematics, Dartmouth CollegeVerified email at math.dartmouth.edu