| Applying human mobility and water consumption data for short-term water demand forecasting using classical and machine learning models K Smolak, B Kasieczka, W Fialkiewicz, W Rohm, K Siła-Nowicka, ... Urban Water Journal 17 (1), 32-42, 2020 | 60 | 2020 |
| Mining deformation life cycle in the light of InSAR and deformation models M Ilieva, P Polanin, A Borkowski, P Gruchlik, K Smolak, A Kowalski, ... Remote Sensing 11 (7), 745, 2019 | 48 | 2019 |
| Establishing the integrated science of movement: bringing together concepts and methods from animal and human movement analysis U Demšar, JA Long, F Benitez-Paez, V Brum Bastos, S Marion, G Martin, ... International Journal of Geographical Information Science 35 (7), 1273-1308, 2021 | 36 | 2021 |
| GNSS-based machine learning storm nowcasting M Łoś, K Smolak, G Guerova, W Rohm Remote Sensing 12 (16), 2536, 2020 | 35 | 2020 |
| Population mobility modelling for mobility data simulation K Smolak, W Rohm, K Knop, K Siła-Nowicka Computers, Environment and Urban Systems 84, 101526, 2020 | 20 | 2020 |
| The impact of human mobility data scales and processing on movement predictability K Smolak, K Siła-Nowicka, JC Delvenne, M Wierzbiński, W Rohm Scientific Reports 11 (1), 15177, 2021 | 18 | 2021 |
| Parameterisation of the GNSS troposphere tomography domain with optimisation of the nodes’ distribution E Trzcina, W Rohm, K Smolak Journal of Geodesy 97 (1), 2, 2023 | 7 | 2023 |
| GNSS-based machine learning storm nowcasting. Remote Sens 12 (16): 2536 M Łoś, K Smolak, G Guerova, W Rohm | 6 | 2020 |
| Explaining human mobility predictions through a pattern matching algorithm K Smolak, W Rohm, K Sila-Nowicka EPJ Data Science 11 (1), 45, 2022 | 3 | 2022 |
| Urban hourly water demand prediction using human mobility data K Smolak, B Kasieczka, K Siła-Nowicka, K Kopańczyk, W Rohm, ... 2018 IEEE/ACM 5th International Conference on Big Data Computing …, 2018 | 3 | 2018 |
| Mobility modelling for simulation of spatial spread of infectious diseases K Knop, K Smolak, B Kasieczka, W Rohm, T Smolarczyk, M Zyga EGU General Assembly Conference Abstracts, EGU21-13112, 2021 | 2 | 2021 |
| Towards anonymous mobility data through the modelling of spatiotemporal circadian rhythms K Smolak, K Sila-Nowicka, W Rohm LBS 2019; Adjunct Proceedings of the 15th International Conference on …, 2019 | 1 | 2019 |
| Mine subsidence-cycle monitoring by use of Sentinel-1 data. M Ilieva, A Borkowski, W Rohm, P Polanin, P Gruchlik, K Smolak, ... Geophysical Research Abstracts 21, 2019 | 1 | 2019 |
| The applicability of human mobility scaling laws on animals—A Herring Gull case study M Łoś, K Smolak, C Mitrus, W Rohm, N Van de Weghe, K Sila-Nowicka Plos one 18 (8), e0286239, 2023 | | 2023 |
| Assessing the impact of data processing methods on bias in human mobility science K Smolak Institute of Geodesy and Geoinformatics, 2022 | | 2022 |
| A Weather-Aware Framework for Population Mobility Modelling (Short Paper) V Brum-Bastos, K Smolak, W Rohm, K Sila-Nowicka 15th International Conference on Spatial Information Theory (COSIT 2022), 2022 | | 2022 |
| GNSS tomography model reparametrization. W Rohm, E Trzcina, K Smolak Geophysical Research Abstracts 21, 2019 | | 2019 |
| In a search for silver bullet in anonymisation methods K Smolak, K Siła-Nowicka, W Rohm | | |
| Can human mobility metrics tell us something about animal behavior? M Łoś, K Siła-Nowicka, K Smolak, W Rohm, N Van de Weghe | | |
Katarzyna Sila-NowickaSenior Lecturer in GIScience在 auckland.ac.nz 的电子邮件经过验证
Katarzyna Sila-NowickaSenior Lecturer in GIScience在 auckland.ac.nz 的电子邮件经过验证