| The on-orbit performance of the Orbiting Carbon Observatory-2 (OCO-2) instrument and its radiometrically calibrated products D Crisp, HR Pollock, R Rosenberg, L Chapsky, RAM Lee, FA Oyafuso, ... Atmospheric Measurement Techniques 10 (1), 59-81, 2017 | 411 | 2017 |
| The Orbiting Carbon Observatory-2: First 18 months of science data products A Eldering, CW O'Dell, PO Wennberg, D Crisp, MR Gunson, C Viatte, ... Atmospheric Measurement Techniques 10 (2), 549-563, 2017 | 247 | 2017 |
| A Permutation-Based Kernel Conditional Independence Test. G Doran, K Muandet, K Zhang, B Schölkopf UAI, 132-141, 2014 | 158 | 2014 |
| Common envelope ejection for a luminous red nova in M101 N Blagorodnova, R Kotak, J Polshaw, MM Kasliwal, Y Cao, AM Cody, ... The Astrophysical Journal 834 (2), 107, 2017 | 127 | 2017 |
| AEGIS autonomous targeting for ChemCam on Mars Science Laboratory: Deployment and results of initial science team use R Francis, T Estlin, G Doran, S Johnstone, D Gaines, V Verma, M Burl, ... Science Robotics 2 (7), eaan4582, 2017 | 119 | 2017 |
| The IPAC image subtraction and discovery pipeline for the Intermediate Palomar Transient Factory FJ Masci, RR Laher, UD Rebbapragada, GB Doran, AA Miller, E Bellm, ... Publications of the Astronomical Society of the Pacific 129 (971), 014002, 2016 | 116 | 2016 |
| A hot and fast ultra-stripped supernova that likely formed a compact neutron star binary K De, MM Kasliwal, EO Ofek, TJ Moriya, J Burke, Y Cao, SB Cenko, ... Science 362 (6411), 201-206, 2018 | 108 | 2018 |
| A theoretical and empirical analysis of support vector machine methods for multiple-instance classification G Doran, S Ray Machine learning 97, 79-102, 2014 | 105 | 2014 |
| PIXL: Planetary instrument for X-ray lithochemistry AC Allwood, LA Wade, MC Foote, WT Elam, JA Hurowitz, S Battel, ... Space Science Reviews 216, 1-132, 2020 | 100 | 2020 |
| iPTF 16asu: a luminous, rapidly evolving, and high-velocity supernova L Whitesides, R Lunnan, MM Kasliwal, DA Perley, A Corsi, SB Cenko, ... The Astrophysical Journal 851 (2), 107, 2017 | 81 | 2017 |
| Evaluation and attribution of OCO-2 XCO2 uncertainties JR Worden, G Doran, S Kulawik, A Eldering, D Crisp, C Frankenberg, ... Atmospheric Measurement Techniques 10 (7), 2759-2771, 2017 | 59 | 2017 |
| Productivity challenges for mars rover operations D Gaines, R Anderson, G Rabideau, A Vasavada, V Verma, T Estlin, ... Planning and Robotics Workshop of ICAPS 2016, 2016 | 48 | 2016 |
| The late-time light curve of the Type Ia supernova SN 2011fe G Dimitriadis, M Sullivan, W Kerzendorf, AJ Ruiter, IR Seitenzahl, ... Monthly Notices of the Royal Astronomical Society 468 (4), 3798-3812, 2017 | 47 | 2017 |
| New craters on Mars: An updated catalog IJ Daubar, CM Dundas, AS McEwen, A Gao, D Wexler, S Piqueux, ... Journal of Geophysical Research: Planets 127 (7), e2021JE007145, 2022 | 36 | 2022 |
| Integrating machine learning for planetary science: Perspectives for the next decade AR Azari, JB Biersteker, RM Dewey, G Doran, EJ Forsberg, CDK Harris, ... arXiv preprint arXiv:2007.15129, 2020 | 33 | 2020 |
| Productivity challenges for mars rover operations: A case study of mars science laboratory operations D Gaines, G Doran, H Justice, G Rabideau, S Schaffer, V Verma, ... Jet Propulsion Lab. TR D-97908, 2016 | 32 | 2016 |
| Mars image content classification: Three years of nasa deployment and recent advances K Wagstaff, S Lu, E Dunkel, K Grimes, B Zhao, J Cai, SB Cole, G Doran, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15204 …, 2021 | 29 | 2021 |
| R-band light-curve properties of Type Ia supernovae from the (intermediate) Palomar Transient Factory S Papadogiannakis, A Goobar, R Amanullah, M Bulla, S Dhawan, ... Monthly Notices of the Royal Astronomical Society 483 (4), 5045-5076, 2019 | 28 | 2019 |
| Multiple-instance learning from distributions G Doran, S Ray Journal of Machine Learning Research 17 (128), 1-50, 2016 | 25 | 2016 |
| AEGIS autonomous targeting for the Curiosity rover's ChemCam instrument R Francis, T Estlin, D Gaines, B Bornstein, S Schaffer, V Verma, ... 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-5, 2015 | 25 | 2015 |
Lukas MandrakeJet Propulsion LaboratoryVerified email at jpl.nasa.gov
