| Mode choice, substitution patterns and environmental impacts of shared and personal micro-mobility DJ Reck, H Martin, KW Axhausen Transportation Research Part D: Transport and Environment 102, 103134, 2022 | 181 | 2022 |
| Using rooftop photovoltaic generation to cover individual electric vehicle demand—A detailed case study H Martin, R Buffat, D Bucher, J Hamper, M Raubal Renewable and Sustainable Energy Reviews 157, 111969, 2022 | 61 | 2022 |
| German Intraday Electricity Market Analysis and Modeling Based on the Limit Order Book H Martin, S Otterson 2018 15th International Conference on the European Energy Market (EEM), 1-6, 2018 | 38 | 2018 |
| Modeling the optimal mix and location of wind and solar with transmission and carbon pricing considerations TA Deetjen, H Martin, JD Rhodes, ME Webber Renewable energy 120, 35-50, 2018 | 34 | 2018 |
| Graph Convolutional Neural Networks for Human Activity Purpose Imputation H Martin, D Bucher, E Suel, P Zhao, F Perez-Cruz, M Raubal NIPS Spatiotemporal Workshop at the 32nd Annual Conference on Neural …, 2018 | 33* | 2018 |
| The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task–Insights from the IARAI Traffic4cast Competition at NeurIPS 2019 DP Kreil, MK Kopp, D Jonietz, M Neun, A Gruca, P Herruzo, H Martin, ... NeurIPS 2019 Competition and Demonstration Track, 232-241, 2020 | 32 | 2020 |
| Trackintel: An open-source Python library for human mobility analysis H Martin, Y Hong, N Wiedemann, D Bucher, M Raubal Computers, Environment and Urban Systems 101, 101938, 2023 | 26 | 2023 |
| Traffic4cast at neurips 2020? yet more on theunreasonable effectiveness of gridded geo-spatial processes M Kopp, D Kreil, M Neun, D Jonietz, H Martin, P Herruzo, A Gruca, ... NeurIPS 2020 Competition and Demonstration Track, 325-343, 2021 | 25 | 2021 |
| How do you go where? Improving next location prediction by learning travel mode information using transformers Y Hong, H Martin, M Raubal Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 24 | 2022 |
| Traffic4cast at NeurIPS 2021-Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes C Eichenberger, M Neun, H Martin, P Herruzo, M Spanring, Y Lu, S Choi, ... NeurIPS 2021 Competitions and Demonstrations Track, 97-112, 2022 | 20 | 2022 |
| Begleitstudie SBB Green Class-Abschlussbericht H Martin, H Becker, D Bucher, D Jonietz, M Raubal, KW Axhausen Arbeitsberichte Verkehrs-und Raumplanung 1439, 2019 | 19 | 2019 |
| Graph-ResNets for short-term traffic forecasts in almost unknown cities H Martin, D Bucher, Y Hong, R Buffat, C Rupprecht, M Raubal NeurIPS 2019 Competition and Demonstration Track, 153-163, 2020 | 16 | 2020 |
| Graph-based mobility profiling H Martin, N Wiedemann, DJ Reck, M Raubal Computers, Environment and Urban Systems 100, 101910, 2023 | 15 | 2023 |
| Geosmartness for personalized and sustainable future urban mobility M Raubal, D Bucher, H Martin Urban Informatics, 59-83, 2021 | 14 | 2021 |
| A clustering-based framework for individual travel behaviour change detection Y Hong, Y Xin, H Martin, D Bucher, M Raubal 11th International Conference on Geographic Information Science (GIScience …, 2021 | 13 | 2021 |
| Exploring Factors that Influence Individuals’ Choice Between Internal Combustion Engine Cars and Electric Vehicles D Bucher, H Martin, J Hamper, A Jaleh, H Becker, P Zhao, M Raubal AGILE: GIScience Series 1, 2, 2020 | 13 | 2020 |
| Visual Analysis of Spatio‐temporal Phenomena with 1D Projections M Franke, H Martin, S Koch, K Kurzhals Computer Graphics Forum 40 (3), 335-347, 2021 | 11 | 2021 |
| Traffic4cast-Traffic Map Movie Forecasting--Team MIE-Lab H Martin, Y Hong, D Bucher, C Rupprecht, R Buffat arXiv preprint arXiv:1910.13824, 2019 | 11 | 2019 |
| A Clustering-Based Framework for Understanding Individuals’ Travel Mode Choice Behavior P Zhao, D Bucher, H Martin, M Raubal 22nd Conference on Geographic Information Science (AGILE 2019), Limassol …, 2019 | 11 | 2019 |
| Conserved quantities in human mobility: From locations to trips Y Hong, H Martin, Y Xin, D Bucher, DJ Reck, KW Axhausen, M Raubal Transportation Research Part C: Emerging Technologies 146, 103979, 2023 | 10 | 2023 |
Martin RaubalProfessor for Geoinformation Engineering, ETH ZurichBestätigte E-Mail-Adresse bei ethz.ch
