| Sensitivity analysis for energy demand estimation of electric vehicles J Asamer, A Graser, B Heilmann, M Ruthmair Transportation Research Part D: Transport and Environment 46, 182-199, 2016 | 173 | 2016 |
| Learning QGIS 2.0 A Graser Packt Publishing Ltd, 2013 | 124* | 2013 |
| GIS and Transport Modeling — Strengthening the Spatial Perspective M Loidl, G Wallentin, R Cyganski, A Graser, J Scholz, E Haslauer ISPRS International Journal of Geo-Information 5 (6), 84, 2016 | 91 | 2016 |
| MovingPandas: Efficient Structures for Movement Data in Python A Graser GI_Forum ‒ Journal for Geographic Information Science 7 (1), 54-68, 2019 | 80 | 2019 |
| Processing: A python framework for the seamless integration of geoprocessing tools in QGIS A Graser, V Olaya ISPRS International Journal of Geo-Information 4 (4), 2219-2245, 2015 | 77 | 2015 |
| Towards an Open Source Analysis Toolbox for Street Network Comparison: Indicators, Tools and Results of a Comparison of OSM and the Official Austrian Reference Graph A Graser, M Straub, M Dragaschnig Transactions in GIS 18 (4), 510-526, 2014 | 64 | 2014 |
| Untangling origin-destination flows in geographic information systems A Graser, J Schmidt, F Roth, N Brändle Information Visualization 18 (1), 2017 | 48 | 2017 |
| Fast hidden Markov model map-matching for sparse and noisy trajectories H Koller, P Widhalm, M Dragaschnig, A Graser 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 43 | 2015 |
| Is OSM good enough for vehicle routing? A study comparing street networks in Vienna A Graser, M Straub, M Dragaschnig Progress in Location-Based Services 2014, 3-17, 2015 | 38 | 2015 |
| Integrating open spaces into OpenStreetMap routing graphs for realistic crossing behavior in pedestrian navigation A Graser GI_Forum ‒ Journal for Geographic Information Science 4 (1), 217-230, 2016 | 29 | 2016 |
| Mobility Data Science (Dagstuhl Seminar 22021) M Mokbel, M Sakr, L Xiong, A Züfle, J Almeida, T Anderson, W Aref, ... Dagstuhl Reports 12 (1), 2022 | 22 | 2022 |
| The M³ massive movement model: a distributed incrementally updatable solution for big movement data exploration A Graser, P Widhalm, M Dragaschnig International Journal of Geographical Information Science 34 (12), 2517-2540, 2020 | 22 | 2020 |
| Combining spatial information and optimization for locating emergency medical service stations: A case study for Lower Austria R Fritze, A Graser, M Sinnl International Journal of Medical Informatics 111, 24-36, 2018 | 22 | 2018 |
| QGIS Map Design A Graser, GN Peterson Locate Press, 2016 | 19 | 2016 |
| Open Geospatial Tools for Movement Data Exploration A Graser, M Dragaschnig KN-Journal of Cartography and Geographic Information, 1-8, 2020 | 16 | 2020 |
| Geometric methods for estimating representative sidewalk widths applied to Vienna’s streetscape surfaces database T Brezina, A Graser, U Leth Journal of Geographical Systems 19 (2), 157-174, 2017 | 16 | 2017 |
| The Elevation Factor: Digital Elevation Model Quality and Sampling Impacts on Electric Vehicle Energy Estimation Errors A Graser, J Asamer, W Ponweiser MT-ITS 2015, Budapest, Hungary, 2015 | 15 | 2015 |
| An exploratory data analysis protocol for identifying problems in continuous movement data A Graser Journal of Location Based Services 15 (2), 89-117, 2021 | 14 | 2021 |
| QGIS 2 Cookbook A Mandel, VO Ferrero, A Graser, A Bruy Packt Publishing Ltd, 2016 | 12 | 2016 |
| Data-driven Trajectory Prediction and Spatial Variability of Prediction Performance in Maritime Location Based Services A Graser, J Schmidt, M Dragaschnig, P Widhalm 15th International Conference on Location-Based Services, 129, 2019 | 11 | 2019 |
Peter WidhalmScientist, Austrian Institute of Technology在 ait.ac.at 的电子邮件经过验证
