| Automated detection of missing links in bicycle networks A Vybornova, T Cunha, A Gühnemann, M Szell Geographical Analysis 55 (2), 239-267, 2023 | 21 | 2023 |
| BikeDNA: A tool for bicycle infrastructure data and network assessment AR Vierø, A Vybornova, M Szell Environment and Planning B: Urban Analytics and City Science 51 (2), 512-528, 2024 | 11 | 2024 |
| Enhanced statistical evaluation of fluorescence properties to identify dissolved organic matter dynamics during river high-flow events S Peer, A Vybornova, Z Saracevic, J Krampe, M Zessner, O Zoboli Science of the Total Environment 851, 158016, 2022 | 8 | 2022 |
| Urban highways are barriers to social ties LM Aiello, A Vybornova, S Juhász, M Szell, E Bokányi arXiv preprint arXiv:2404.11596, 2024 | 2 | 2024 |
| A shape-based heuristic for the detection of urban block artifacts in street networks M Fleischmann, A Vybornova arXiv preprint arXiv:2309.00438, 2023 | 2 | 2023 |
| To analyze or to throw away? On the stability of excitation-emission matrices for different water systems S Peer, A Vybornova, J Tauber, E Saracevic, J Krampe, M Zessner, ... Chemosphere 333, 138853, 2023 | 2 | 2023 |
| Identifying and classifying gaps in the bicycle network of Copenhagen A Vybornova Master’s Thesis, University of Copenhagen, 2021 | 2 | 2021 |
| How Good Is Open Bicycle Network Data? A Countrywide Case Study of Denmark AR Vierø, A Vybornova, M Szell Geographical Analysis 57 (1), 52-87, 2025 | 1 | 2025 |
| Assessing OpenStreetMap bicycle data quality with BikeDNA: a Denmark Case Study AR Vierø, A Vybornova, M Szell Proceedings of the OSM Science, 22-25, 2023 | 1 | 2023 |
| Automated detection of missing links in developed bicycle networks A Vybornova, T Cunha, A Gühnemann, M Szell arXiv preprint arXiv:2201.03402, 2022 | 1 | 2022 |
| Source-tracing of industrial and municipal wastewater effluent in river water via fluorescence fingerprinting S Peer, A Vybornova, Z Saracevic, J Krampe, O Zoboli Science of the Total Environment 959, 178187, 2025 | | 2025 |
| BikeNodePlanner: a data-driven decision support tool for bicycle node network planning A Vybornova, AR Vierø, KK Hansen, M Szell arXiv preprint arXiv:2412.20270, 2024 | | 2024 |
| superblockify: A Python Package for Automated Generation, Visualization, and Analysis of Potential Superblocks in Cities CM Bueth, A Vybornova, M Szell Journal of Open Source Software 9 (100), 2024 | | 2024 |
| How Good Is Open Bicycle Infrastructure Data? A Countrywide Case Study of Denmark AR Vierø, A Vybornova, M Szell arXiv preprint arXiv:2312.02632, 2023 | | 2023 |
| How Good Is Open Bicycle Infrastructure Data? A Countrywide Case Study of Denmark A Rahbek Vierø, A Vybornova, M Szell arXiv e-prints, arXiv: 2312.02632, 2023 | | 2023 |
| BikeDNA: A Tool for Bicycle Infrastructure Data & Network Assessment A Rahbek Vierø, A Vybornova, M Szell arXiv e-prints, arXiv: 2303.01223, 2023 | | 2023 |
| Stability of fluorescence spectra of various water systems O Zoboli, S Peer, E Saracevic, J Tauber, A Vybornova, M Zessner, ... EGU General Assembly Conference Abstracts, 18872, 2020 | | 2020 |
| Exploitation of the maximum potential of fluorescence spectroscopy for water resource systems using Bayesian statistical approaches S Peer, O Zoboli, A Vybornova, J Krampe, M Zessner EGU General Assembly Conference Abstracts, 21443, 2020 | | 2020 |
| superblockify: A Python Package for Automated CM Büth, A Vybornova, M Szell | | |
Michael SzellIT University of CopenhagenAdresse e-mail validée de itu.dk