| A predictive model for fling-step in near-fault ground motions based on recordings and simulations LS Burks, JW Baker Soil Dynamics and Earthquake Engineering 80, 119-126, 2016 | 111 | 2016 |
| Validation of ground‐motion simulations through simple proxies for the response of engineered systems LS Burks, JW Baker Bulletin of the Seismological Society of America 104 (4), 1930-1946, 2014 | 74 | 2014 |
| Ground motion selection for simulation‐based seismic hazard and structural reliability assessment BA Bradley, LS Burks, JW Baker Earthquake Engineering & Structural Dynamics 44 (13), 2321-2340, 2015 | 67 | 2015 |
| Rapid estimate of ground shaking intensity by combining simple earthquake characteristics with tweets L Burks, M Miller, R Zadeh 10th US Nat. Conf. Earthquake Eng., Front. Earthquake Eng., Anchorage, AK …, 2014 | 49 | 2014 |
| Evaluation of hybrid broadband ground motion simulations for response history analysis and design LS Burks, RB Zimmerman, JW Baker Earthquake Spectra 31 (3), 1691-1710, 2015 | 37 | 2015 |
| Fling in near-fault ground motions and its effect on structural collapse capacity LS Burks, JW Baker Tenth US National Conference on Earthquake Engineering Frontiers of …, 2014 | 28 | 2014 |
| Occurrence of negative epsilon in seismic hazard analysis deaggregation, and its impact on target spectra computation LS Burks, JW Baker Earthquake engineering & structural dynamics 41 (8), 1241-1256, 2012 | 14 | 2012 |
| Ground motion simulations: Validation and application for civil engineering problems LS Burks Stanford University, 2014 | 10 | 2014 |
| Bitcoin Address Classification. LS Burks, AE Cox, K Lakkaraju, MJ Boyd, E Chan Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017 | 5 | 2017 |
| Tool for business resilience to disaster A Wani, N Hu, C Zhai, D Pant, J Chhabra, L Burks, M Chapman, O Rege, ... US Patent App. 17/393,693, 2023 | 1 | 2023 |
| Performance Metrics to Evaluate Probabilistic Models for Structural Damage During Seismic Events L Burks, A Gupta The 17th World Conference on Earthquake Engineering, Sendai, Japan, 2020 | 1 | 2020 |
| Conditioning multi-model ensembles for disease forecasting. J Ray, KR Cauthen, S Lefantzi, L Burks Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2019 | | 2019 |
| Detecting P-waves in Streaming Seismic Data Using a Hidden Markov Model (HMM) L Burks, J Ray AGU Fall Meeting 2018, 2018 | | 2018 |
| Detecting P-waves in streaming seismic data using a hidden Markov model. J Ray, L Burks, CJ Young Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2018 | | 2018 |
| Detecting Seismic Events Using Ensembles of Features R Forrest, L Burks AGU Fall Meeting Abstracts 2018, S53E-0464, 2018 | | 2018 |
| Detecting P-waves in Streaming Seismic Data Using a Hidden Markov Model (HMM) J Ray, L Burks AGU Fall Meeting Abstracts 2018, S53E-0463, 2018 | | 2018 |
| Pentachart: Detecting Seismic Events Using a Supervised Hidden Markov Model (HMM). LS Burks Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2018 | | 2018 |
| Detecting Seismic Events Using a Supervised Hidden Markov Model (HMM). LS Burks, R Brogan, S Lefantzi Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2018 | | 2018 |
| The Rocket Test Case Study. BW Heimer, JC Reinhardt, LS Burks Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018 | | 2018 |
| Detecting Seismic Events Using a Supervised Hidden Markov Model L Burks, R Forrest, J Ray, C Young AGU Fall Meeting Abstracts 2017, S43A-0827, 2017 | | 2017 |
