| 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 | 169 | 2018 |
| Patterns of waste generation: A gradient boosting model for short-term waste prediction in New York City NE Johnson, O Ianiuk, D Cazap, L Liu, D Starobin, G Dobler, ... Waste Management 62, 3-11, 2017 | 134 | 2017 |
| 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 | 107 | 2017 |
| 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 | 99 | 2018 |
| Using a gradient boosting model to improve the performance of low-cost aerosol monitors in a dense, heterogeneous urban environment NE Johnson, B Bonczak, CE Kontokosta Atmospheric Environment 184, 9-16, 2018 | 52 | 2018 |
| The Quantified Community at Red Hook: Urban Sensing and Citizen Science in Low-Income Neighborhoods CE Kontokosta, N Johnson, A Schloss arXiv preprint arXiv:1609.08780, 2016 | 13 | 2016 |
| Simulating New York City Hospital Load Balancing During COVID-19 EL de Larrea, H Lam, E Sanabria, J Sethuraman, S Mohammadi, A Olivier, ... 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 8 | 2021 |
| Digital traces: Modeling urban mobility using WIFI probe data M Traunmueller, N Johnson, A Malik, CE Kontokosta Proceedings of the The 6th International Workshop on Urban Computing (ACM …, 2017 | 8 | 2017 |
| Validating the Use of Wi-Fi Signals to Estimate Hyperlocal Urban Populations NE Johnson, P Mandiola, C Blankinship, B Bonczak, CE Kontokosta 2019 IEEE International Conference on Big Data (Big Data), 1650-1655, 2019 | 3 | 2019 |
| Using High Resolution Mobility Data to Understand Human Behavior and Population Dynamics in Cities CE Kontokosta, N Johnson, B Bonczak, B Hong, A Malik, P Mandiola, ... | 2 | 2020 |
| A Dynamic Spatial-Temporal Model of Urban Carbon Emissions for Data-Driven Climate Action by Cities C Kontokosta, Y Lai, B Bonzak, S Papadopoulos, B Hong, N Johnson, ... Bloomberg Data for Good Exchange 2018, 2018 | 2 | 2018 |
| Hospital Load Balancing: A Data-Driven Approach to Optimize Ambulance Transports During the COVID-19 Pandemic in New York City E Dolan, N Johnson, T Kepler, H Lam, E Lelo de Larrea, S Mohammadi, ... Available at SSRN 4094485, 2022 | 1 | 2022 |
| Short-Term Adaptive Emergency Call Volume Prediction E Sanabria, H Lam, EL de Larrea, J Sethuraman, S Mohammadi, A Olivier, ... 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 1 | 2021 |
| Landfill Hunter: Learning about Waste through Public Participation NE Johnson, F Grey Human Computation 3 (1), 243-252, 2016 | 1 | 2016 |
| Urban Phenology: Toward a Real-Time Census of the City CE Kontokosta, N Johnson Available at SSRN 2801288, 2016 | 1 | 2016 |
| Working 9 to 5? Measuring Hyperlocal Worker Productivity with Public WiFi Network Data N Johnson, B Bonczak, A Gupta, CE Kontokosta Measuring Hyperlocal Worker Productivity with Public WiFi Network Data (June …, 2020 | | 2020 |
| Open Trash Lab: Improving Waste Management through Data Analytics and Public Participation NE Johnson Sustainable Urban Environments: Research, Design and Planning for the Next …, 2019 | | 2019 |
| Studies in Urban Informatics: Tools and Techniques to Explore Socio-ecological Urban Systems NE Johnson University of Warwick, 2018 | | 2018 |
| Understanding Neighborhood Dynamics Through Low-cost In-situ Sensing of the Urban Troposphere C Kontokosta, N Johnson American Meteorological Society’s 13th Symposium of the Urban Environment, 2017 | | 2017 |
Constantine E. KontokostaNew York University在 nyu.edu 的电子邮件经过验证
