Nicholas Johnson

Using machine learning and small area estimation to predict building-level municipal solid waste generation in cities

Constantine E. Kontokosta, Boyeong Hong, Nicholas Johnson et al. · Computers Environment and Urban Systems · 2018 · 147 citations

Waste Prevention, Engineering, Machine Learning +10

Patterns of waste generation: A gradient boosting model for short-term waste prediction in New York City

Nicholas Johnson, Olga Ianiuk, Daniel Cazap et al. · Waste Management · 2017 · 130 citations

Waste Generation, Waste Prevention, Engineering +10

Digital footprints: Using WiFi probe and locational data to analyze human mobility trajectories in cities

Martin Traunmueller, Nicholas Johnson, Awais Malik et al. · Computers Environment and Urban Systems · 2018 · 107 citations

Wifi Probe, Urban Geography, Digital Footprints +12

Using a gradient boosting model to improve the performance of low-cost aerosol monitors in a dense, heterogeneous urban environment

Nicholas Johnson, Bartosz Bończak, Constantine E. Kontokosta · Atmospheric Environment · 2018 · 84 citations · Full text

Built Environment, Meteorology, Environmental Monitoring +11

Urban phenology: Toward a real-time census of the city using Wi-Fi data

Constantine E. Kontokosta, Nicholas Johnson · Computers Environment and Urban Systems · 2017 · 83 citations

Urban Phenology, Urban Geography, Engineering +15