| A data-driven predictive model of city-scale energy use in buildings CE Kontokosta, C Tull Applied energy 197, 303-317, 2017 | 287 | 2017 |
| Encyclopedia of urban studies R Hutchison Sage, 2010 | 278 | 2010 |
| The Resilience to Emergencies and Disasters Index: Applying big data to benchmark and validate neighborhood resilience capacity CE Kontokosta, A Malik Sustainable Cities and Society 36, 272-285, 2018 | 222 | 2018 |
| Using machine learning and small area estimation to predict building-level municipal solid waste generation in cities CE Kontokosta, B Hong, NE Johnson, D Starobin Computers, Environment and Urban Systems 70, 151-162, 2018 | 178 | 2018 |
| Measuring inequality in community resilience to natural disasters using large-scale mobility data B Hong, BJ Bonczak, A Gupta, CE Kontokosta Nature communications 12 (1), 1870, 2021 | 175 | 2021 |
| Grading buildings on energy performance using city benchmarking data S Papadopoulos, CE Kontokosta Applied Energy 233, 244-253, 2019 | 166 | 2019 |
| Rethinking HVAC temperature setpoints in commercial buildings: The potential for zero-cost energy savings and comfort improvement in different climates S Papadopoulos, CE Kontokosta, A Vlachokostas, E Azar Building and Environment 155, 350-359, 2019 | 164 | 2019 |
| Evaluation of tree-based ensemble learning algorithms for building energy performance estimation S Papadopoulos, E Azar, WL Woon, CE Kontokosta Journal of Building Performance Simulation 11 (3), 322-332, 2018 | 147 | 2018 |
| Modeling the energy retrofit decision in commercial office buildings CE Kontokosta Energy and Buildings 131, 1-20, 2016 | 144 | 2016 |
| Energy Cost Burdens for Low-Income and Minority Households: Evidence From Energy Benchmarking and Audit Data in Five US Cities CE Kontokosta, VJ Reina, B Bonczak Journal of the American Planning Association 86 (1), 89-105, 2020 | 123 | 2020 |
| Digital footprints: Using WiFi probe and locational data to analyze human mobility trajectories in cities MW Traunmueller, N Johnson, A Malik, CE Kontokosta Computers, Environment and Urban Systems 72, 4-12, 2018 | 121 | 2018 |
| Bias in smart city governance: How socio-spatial disparities in 311 complaint behavior impact the fairness of data-driven decisions CE Kontokosta, B Hong Sustainable Cities and Society 64, 102503, 2021 | 117 | 2021 |
| Large-scale parameterization of 3D building morphology in complex urban landscapes using aerial LiDAR and city administrative data B Bonczak, CE Kontokosta Computers, Environment and Urban Systems 73, 126-142, 2019 | 113 | 2019 |
| Take the Q train: Value capture of public infrastructure projects A Gupta, S Van Nieuwerburgh, C Kontokosta Journal of Urban Economics, 103422, 2022 | 111 | 2022 |
| Urban phenology: Toward a real-time census of the city using Wi-Fi data CE Kontokosta, N Johnson Computers, Environment and Urban Systems 64, 144-153, 2017 | 110 | 2017 |
| Exposure density and neighborhood disparities in COVID-19 infection risk B Hong, BJ Bonczak, A Gupta, LE Thorpe, CE Kontokosta Proceedings of the National Academy of Sciences 118 (13), 2021 | 109 | 2021 |
| Determinants of green building adoption F Fuerst, C Kontokosta, P McAllister Environment and Planning B: Planning and Design 41 (3), 551-570, 2014 | 102* | 2014 |
| Applications of machine learning methods to identifying and predicting building retrofit opportunities DE Marasco, CE Kontokosta Energy and Buildings 128, 431-441, 2016 | 99 | 2016 |
| Modeling the determinants of large-scale building water use: Implications for data-driven urban sustainability policy CE Kontokosta, RK Jain Sustainable Cities and Society 18, 44-55, 2015 | 98 | 2015 |
| Mixed-income housing and neighborhood integration: Evidence from inclusionary zoning programs CE Kontokosta Journal of Urban Affairs 36 (4), 716-741, 2014 | 88 | 2014 |