| Assessment of methane emissions from the US oil and gas supply chain RA Alvarez, D Zavala-Araiza, DR Lyon, DT Allen, ZR Barkley, AR Brandt, ... Science 361 (6398), 186-188, 2018 | 1240 | 2018 |
| Methane leaks from North American natural gas systems AR Brandt, GA Heath, EA Kort, F O'Sullivan, G Pétron, SM Jordaan, ... Science 343 (6172), 733-735, 2014 | 1085 | 2014 |
| Global oil depletion: A review of the evidence S Sorrell, J Speirs, R Bentley, A Brandt, R Miller Energy Policy 38 (9), 5290-5295, 2010 | 538 | 2010 |
| Global carbon intensity of crude oil production MS Masnadi, HM El-Houjeiri, D Schunack, Y Li, JG Englander, ... Science 361 (6405), 851-853, 2018 | 479 | 2018 |
| Evaluation of a proposal for reliable low-cost grid power with 100% wind, water, and solar CTM Clack, SA Qvist, J Apt, M Bazilian, AR Brandt, K Caldeira, SJ Davis, ... Proceedings of the National Academy of Sciences 114 (26), 6722-6727, 2017 | 443 | 2017 |
| Converting oil shale to liquid fuels: Energy inputs and greenhouse gas emissions of the Shell in situ conversion process AR Brandt Environmental science & technology 42 (19), 7489-7495, 2008 | 339* | 2008 |
| Methane leaks from natural gas systems follow extreme distributions AR Brandt, GA Heath, D Cooley Environmental science & technology 50 (22), 12512-12520, 2016 | 329 | 2016 |
| Testing hubbert AR Brandt Energy policy 35 (5), 3074-3088, 2007 | 311 | 2007 |
| Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison H Teichgraeber, AR Brandt Applied energy 239, 1283-1293, 2019 | 306 | 2019 |
| The energetic implications of curtailing versus storing solar-and wind-generated electricity CJ Barnhart, M Dale, AR Brandt, SM Benson Energy & Environmental Science 6 (10), 2804-2810, 2013 | 287 | 2013 |
| An assessment of the evidence for a near-term peak in global oil production S Sorrell, J Speirs, R Bentley, A Brandt, R Miller London: UK Energy Research Centre, 228, 2009 | 281 | 2009 |
| Short-term solar power forecast with deep learning: Exploring optimal input and output configuration Y Sun, V Venugopal, AR Brandt Solar Energy 188, 730-741, 2019 | 246* | 2019 |
| Life cycle assessment of emerging technologies: Evaluation techniques at different stages of market and technical maturity JA Bergerson, A Brandt, J Cresko, M Carbajales‐Dale, HL MacLean, ... Journal of Industrial Ecology 24 (1), 11-25, 2020 | 236 | 2020 |
| Closing the methane gap in US oil and natural gas production emissions inventories JS Rutherford, ED Sherwin, AP Ravikumar, GA Heath, J Englander, ... Nature communications 12 (1), 4715, 2021 | 223 | 2021 |
| Machine vision for natural gas methane emissions detection using an infrared camera J Wang, LP Tchapmi, AP Ravikumar, M McGuire, CS Bell, D Zimmerle, ... Applied Energy 257, 113998, 2020 | 213 | 2020 |
| Scraping the bottom of the barrel: greenhouse gas emission consequences of a transition to low-quality and synthetic petroleum resources AR Brandt, AE Farrell Climatic Change 84 (3), 241-263, 2007 | 204 | 2007 |
| Solar PV output prediction from video streams using convolutional neural networks Y Sun, G Szűcs, AR Brandt Energy & Environmental Science 11 (7), 1811-1818, 2018 | 192 | 2018 |
| Carbon intensity of global crude oil refining and mitigation potential L Jing, HM El-Houjeiri, JC Monfort, AR Brandt, MS Masnadi, D Gordon, ... Nature climate change 10 (6), 526-532, 2020 | 178 | 2020 |
| Are optical gas imaging technologies effective for methane leak detection? AP Ravikumar, J Wang, AR Brandt Environmental science & technology 51 (1), 718-724, 2017 | 172 | 2017 |
| A Low-Carbon Fuel Standard for California Part 1: Technical Analysis AE Farrell, D Sperling, SM Arons, AR Brandt, MA Delucchi, A Eggert, ... | 170* | 2007 |
Evan D. SherwinLawrence Berkeley National LaboratoryVerified email at lbl.gov
