| The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use S Leyk, AE Gaughan, SB Adamo, A De Sherbinin, D Balk, S Freire, ... Earth System Science Data 11 (3), 1385-1409, 2019 | 329 | 2019 |
| Building extraction at scale using convolutional neural network: Mapping of the united states HL Yang, J Yuan, D Lunga, M Laverdiere, A Rose, B Bhaduri IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 235 | 2018 |
| LandScan 2011 EA Bright, PR Coleman, AN Rose, ML Urban Oak Ridge National Laboratory SE, Oak Ridge, TN, 2012 | 189* | 2012 |
| LandScan 2017 high-resolution global population data set EA Bright, AN Rose, ML Urban, J McKee Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2018 | 147* | 2018 |
| Adapting a GIS-based multicriteria decision analysis approach for evaluating new power generating sites OA Omitaomu, BR Blevins, WC Jochem, GT Mays, R Belles, SW Hadley, ... Applied Energy 96, 292-301, 2012 | 135 | 2012 |
| Locally adaptive, spatially explicit projection of US population for 2030 and 2050 JJ McKee, AN Rose, EA Bright, T Huynh, BL Bhaduri Proceedings of the National Academy of Sciences, 2015 | 74 | 2015 |
| The LandScan Global Population Distribution Project: current state of the art and prospective innovation AN Rose, E Bright Oak Ridge National Laboratory, 2014 | 59 | 2014 |
| LandScan 2008 EA Bright, PR Coleman, AL King, AN Rose, ML Urban Oak Ridge National Laboratory, Oak Ridge, TN, USA, 2009 | 58 | 2009 |
| LandScan global 2020 A Rose, J McKee, K Sims, E Bright, A Reith, M Urban Oak Ridge National Laboratory: Oak Ridge, TN, USA, 2021 | 53 | 2021 |
| Electricity consumption patterns within cities: application of a data-driven settlement characterization method PKR Chowdhury, JE Weaver, EM Weber, D Lunga, MLD St Thomas, ... International Journal of Digital Earth, 2020 | 51 | 2020 |
| Application of spatial data modeling and geographical information systems (GIS) for identification of potential siting options for various electrical generation sources GT Mays, R Belles, BR Blevins, SW Hadley, TJ Harrison, WC Jochem, ... Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2012 | 49 | 2012 |
| Landscan global 2021 K Sims, A Reith, E Bright, J McKee, A Rose Population Density. Oak Ridge National Laboratory 10, 1527702, 2022 | 34 | 2022 |
| Impacts of the morphology of new neighborhoods on microclimate and building energy MR Allen-Dumas, AN Rose, JR New, OA Omitaomu, J Yuan, ... Renewable and Sustainable Energy Reviews 133, 110030, 2020 | 33 | 2020 |
| Landscan global 2022 [Data set] K Sims, A Reith, E Bright, J Kaufman, J Pyle, J Epting, J Gonzales, ... Oak Ridge National Laboratory 10, 1529167, 2023 | 27 | 2023 |
| Validation of spatiodemographic estimates produced through data fusion of small area census records and household microdata AN Rose, NN Nagle Computers, Environment and Urban Systems 63, 38-49, 2017 | 26 | 2017 |
| LandScan global 2019 A Rose, J McKee, K Sims, E Bright, A Reith, M Urban Oak Ridge National Laboratory, Oak Ridge, TN 730, 731, 2020 | 21 | 2020 |
| Spatial and temporal characterization of activity in public space, 2019–2020 C Brelsford, J Moehl, E Weber, K Sparks, JV Tuccillo, A Rose Scientific Data 9 (1), 379, 2022 | 19 | 2022 |
| LandScan global 2015 E Bright, A Rose, M Urban LandScan Global, 2016 | 18 | 2016 |
| LandScan EA Bright, PR Coleman, AN Rose, ML Urban Oak Ridge: Oak Ridge National Laboratory, 2014 | 18 | 2014 |
| Iterative self-organizing SCEne-LEvel sampling (ISOSCELES) for large-scale building extraction B Swan, M Laverdiere, HL Yang, A Rose GIScience & Remote Sensing 59 (1), 1-16, 2022 | 16 | 2022 |
Eddie BrightDistinguished Research Scientist, Oak Ridge National LaboratoryVerified email at ornl.gov