| Tackling Climate Change with Machine Learning D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... ACM Computing Surveys (CSUR) 55 (2), 1-96, 2022 | 1186* | 2022 |
| Machine learning for geographically differentiated climate change mitigation in urban areas N Milojevic-Dupont, F Creutzig Sustainable Cities and Society 64, 102526, 2021 | 118 | 2021 |
| Fair street space allocation: ethical principles and empirical insights F Creutzig, A Javaid, Z Soomauroo, S Lohrey, N Milojevic-Dupont, ... Transport Reviews 40 (6), 711-733, 2020 | 101 | 2020 |
| Learning from urban form to predict building heights N Milojevic-Dupont, N Hans, LH Kaack, M Zumwald, F Andrieux, ... Plos one 15 (12), e0242010, 2020 | 62 | 2020 |
| Digitalization and the Anthropocene F Creutzig, D Acemoglu, X Bai, PN Edwards, MJ Hintz, LH Kaack, S Kilkis, ... Annual review of environment and resources 47 (1), 479-509, 2022 | 58 | 2022 |
| EUBUCCO v0. 1: European building stock characteristics in a common and open database for 200+ million individual buildings N Milojevic-Dupont, F Wagner, F Nachtigall, J Hu, GB Brüser, M Zumwald, ... Scientific Data 10 (1), 147, 2023 | 45 | 2023 |
| Using explainable machine learning to understand how urban form shapes sustainable mobility F Wagner, N Milojevic-Dupont, L Franken, A Zekar, B Thies, N Koch, ... Transportation Research Part D: Transport and Environment 111, 103442, 2022 | 41 | 2022 |
| Open government geospatial data on buildings for planning sustainable and resilient cities F Biljecki, LZX Chew, N Milojevic-Dupont, F Creutzig arXiv preprint arXiv:2107.04023, 2021 | 31 | 2021 |
| Innovation, technology development and transfer G Blanco, HC de Coninck, L Agbemabiese, LD Anadon, YS Lim, ... IPCC, 2022: Climate Change 2022: Mitigation of Climate Change. Contribution …, 2022 | 24 | 2022 |
| Comparing urban form influences on travel distance, car ownership, and mode choice P Berrill, F Nachtigall, A Javaid, N Milojevic-Dupont, F Wagner, F Creutzig Transportation Research Part D: Transport and Environment 128, 104087, 2024 | 14* | 2024 |
| Urban form features determine spatio-temporal variation of ambient temperature: A comparative study of three European cities A Zekar, N Milojevic-Dupont, M Zumwald, F Wagner, F Creutzig Urban Climate 49, 101467, 2023 | 11 | 2023 |
| Predicting building age from urban form at large scale F Nachtigall, N Milojevic-Dupont, F Wagner, F Creutzig Computers, Environment and Urban Systems 105, 102010, 2023 | 8 | 2023 |
| Demand-side strategies key for mitigating material impacts of energy transitions F Creutzig, SG Simoes, S Leipold, P Berrill, I Azevedo, O Edelenbosch, ... Nature Climate Change, 1-12, 2024 | 4 | 2024 |
| Predicting building characteristics at urban scale using graph neural networks and street-level context B Lei, P Liu, N Milojevic-Dupont, F Biljecki Computers, Environment and Urban Systems 111, 102129, 2024 | 2 | 2024 |
| A Causal Discovery Approach To Learn How Urban Form Shapes Sustainable Mobility Across Continents F Wagner, F Nachtigall, L Franken, N Milojevic-Dupont, RHM Pereira, ... arXiv preprint arXiv:2308.16599, 2023 | 2 | 2023 |
| Towards a public policy of cities and human settlements in the 21st century F Creutzig, S Becker, P Berrill, C Bongs, A Bussler, B Cave, ... npj Urban Sustainability 4 (1), 29, 2024 | | 2024 |
| A systematic map of machine learning in urban climate change mitigation MJ Hintz, N Milojevic-Dupont, F Creutzig, L Kaack | | 2024 |
| Low-carbon urban planning with machine learning N Milojevic-Dupont, F Creutzig Tackling Climate Change with Machine Learning Workshop at ICML 2019, 2019 | | 2019 |
Felix CreutzigMercator Research Institute on Global Commons and Climate Change & TUB, BerlinVerified email at mcc-berlin.net
