| Innovation in rangeland monitoring: annual, 30 m, plant functional type percent cover maps for US rangelands, 1984–2017 MO Jones, BW Allred, DE Naugle, JD Maestas, P Donnelly, LJ Metz, ... Ecosphere 9 (9), e02430, 2018 | 247 | 2018 |
| LC-MS alignment in theory and practice: a comprehensive algorithmic review R Smith, D Ventura, JT Prince Briefings in bioinformatics 16 (1), 104-117, 2015 | 168 | 2015 |
| Proteomics, lipidomics, metabolomics: a mass spectrometry tutorial from a computer scientist's point of view R Smith, AD Mathis, D Ventura, JT Prince BMC bioinformatics 15 (7), 1-14, 2014 | 109 | 2014 |
| Massifquant: open-source Kalman filter-based XC-MS isotope trace feature detection CJ Conley, R Smith, RJO Torgrip, RM Taylor, R Tautenhahn, JT Prince Bioinformatics 30 (18), 2636-2643, 2014 | 59 | 2014 |
| Massifquant: open-source Kalman filter-based XC-MS isotope trace feature detection CJ Conley, R Smith, RJO Torgrip, RM Taylor, R Tautenhahn, JT Prince Bioinformatics 30 (18), 2636-2643, 2014 | 59 | 2014 |
| Novel algorithms and the benefits of comparative validation R Smith, D Ventura, JT Prince Bioinformatics 29 (12), 1583-1585, 2013 | 40 | 2013 |
| Novel algorithms and the benefits of comparative validation R Smith, D Ventura, JT Prince Bioinformatics 29 (12), 1583-1585, 2013 | 40 | 2013 |
| Mspire-simulator: LC-MS shotgun proteomic simulator for creating realistic gold standard data AB Noyce, R Smith, J Dalgleish, RM Taylor, KC Erb, N Okuda, JT Prince Journal of proteome research 12 (12), 5742-5749, 2013 | 34 | 2013 |
| Controlling for confounding variables in MS-omics protocol: why modularity matters R Smith, D Ventura, JT Prince Briefings in Bioinformatics, 2013 | 26 | 2013 |
| JAMSS: proteomics mass spectrometry simulation in Java R Smith, JT Prince Bioinformatics 31 (5), 791-793, 2015 | 17 | 2015 |
| A general model for continuous noninvasive pulmonary artery pressure estimation R Smith, D Ventura Computers in biology and medicine 43 (7), 904-913, 2013 | 14 | 2013 |
| Statistical agglomeration: peak summarization for direct infusion lipidomics R Smith, TS Anthonymuthu, D Ventura, JT Prince Bioinformatics 29 (19), 2445-2451, 2013 | 13 | 2013 |
| Automatic composition from non-musical inspiration sources R Smith, A Dennis, D Ventura Proceedings of International Conference on Computational Creativity, 160-164, 2012 | 13 | 2012 |
| Quantitative Evaluation of Ion Chromatogram Extraction Algorithms R Smith, AR Tostengard Journal of Proteome Research 19 (5), 1953-1964, 2020 | 11 | 2020 |
| A web-based system for creating, viewing, and editing precursor mass spectrometry ground truth data J Henning, R Smith BMC bioinformatics 21 (1), 1-10, 2020 | 9 | 2020 |
| Fast, axis-agnostic, dynamically summarized storage and retrieval for mass spectrometry data K Handy, J Rosen, A Gillan, R Smith PloS one 12 (11), e0188059, 2017 | 9 | 2017 |
| Current controlled vocabularies are insufficient to uniquely map molecular entities to mass spectrometry signal R Smith, RM Taylor, JT Prince BMC bioinformatics 16 (7), 1-11, 2015 | 9 | 2015 |
| Rubabel: wrapping open Babel with Ruby R Smith, R Williamson, D Ventura, JT Prince Journal of cheminformatics 5, 35, 2013 | 9 | 2013 |
| A Peptide-Level Fully Annotated Data Set for Quantitative Evaluation of Precursor-Aware Mass Spectrometry Data Processing Algorithms J Henning, A Tostengard, R Smith Journal of proteome research 18 (1), 392-398, 2018 | 8 | 2018 |
| Conversations with 100 scientists in the field reveal a bifurcated perception of the state of mass spectrometry software. R Smith Journal of proteome research, 2018 | 7 | 2018 |
John T. PrincePlatform Engineer (Owlet); Former Asst Prof of Chemistry and Biochemistry, Brigham YoungVerified email at owletcare.com
