| Mapping COVID-19: How web-based maps contribute to the infodemic P Mooney, L Juhász Dialogues in Human Geography 10 (2), 265-270, 2020 | 102 | 2020 |
| Where to catch ‘em all?–a geographic analysis of Pokémon Go locations L Juhász, HH Hochmair Geo-spatial Information Science 20 (3), 241-251, 2017 | 67 | 2017 |
| User contribution patterns and completeness evaluation of Mapillary, a crowdsourced street level photo service L Juhász, HH Hochmair Transactions in GIS 20 (6), 925–947, 2016 | 66 | 2016 |
| Towards understanding the geospatial skills of chatgpt: Taking a geographic information systems (gis) exam P Mooney, W Cui, B Guan, L Juhász Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for …, 2023 | 54 | 2023 |
| Data quality of points of interest in selected mapping and social media platforms HH Hochmair, L Juhász, S Cvetojevic Progress in Location Based Services 2018 14, 293-313, 2018 | 51 | 2018 |
| Opportunities and challenges of geospatial analysis for promoting urban livability in the era of big data and machine learning A Kovacs-Györi, A Ristea, C Havas, M Mehaffy, HH Hochmair, B Resch, ... ISPRS International Journal of Geo-Information 9 (12), 752, 2020 | 44 | 2020 |
| OSM Science—The Academic Study of the OpenStreetMap Project, Data, Contributors, Community, and Applications AY Grinberger, M Minghini, L Juhász, G Yeboah, P Mooney ISPRS International Journal of Geo-Information 11 (4), 230, 2022 | 42 | 2022 |
| Cartographic vandalism in the era of location-based games—The case of OpenStreetMap and Pokémon GO L Juhász, T Novack, HH Hochmair, S Qiao ISPRS International Journal of Geo-Information 9 (4), 197, 2020 | 37 | 2020 |
| Studying Spatial and Temporal Visitation Patterns of Points of Interest Using SafeGraph Data in Florida L Juhász, H Hochmair GI_Forum 8 (1), 119 - 136, 2020 | 35 | 2020 |
| ChatGPT as a mapping assistant: A novel method to enrich maps with generative AI and content derived from street-level photographs L Juhász, P Mooney, HH Hochmair, B Guan Spatial Data Science Symposium, 2023 | 31 | 2023 |
| Open source web GIS solutions in disaster management–with special emphasis on inland excess water modeling L Juhász, Á Podolcsák, J Doleschall Journal of Environmental Geography 9 (1-2), 15-21, 2016 | 28 | 2016 |
| Cross-linkage between Mapillary street level photos and OSM edits L Juhász, HH Hochmair Geospatial Data in a Changing World: Selected Papers of the 19th AGILE …, 2016 | 28 | 2016 |
| Mapping time-space brickfield development dynamics in Peri-Urban Area of Dhaka, Bangladesh MM Hassan, L Juhász, J Southworth ISPRS International Journal of Geo-Information 8 (10), 447, 2019 | 27 | 2019 |
| OSM data import as an outreach tool to trigger community growth? A case study in Miami L Juhász, HH Hochmair ISPRS International Journal of Geo-Information 7 (3), 113, 2018 | 24 | 2018 |
| Analyzing the spatial and temporal dynamics of Snapchat L Juhász, HH Hochmair VGI-Alive pre-conference workshop at AGILE 2018, 2018 | 24 | 2018 |
| Positional Accuracy of Twitter and Instagram Images in Urban Environments S Cvetojevic, L Juhasz, H Hochmair GI_Forum 2016, 1, 191-203, 2016 | 23 | 2016 |
| Comparing the spatial and temporal activity patterns between Snapchat, Twitter and Flickr in Florida L Juhász, HH Hochmair GI_Forum 7 (1), 134 - 147, 2019 | 20 | 2019 |
| OpenStreetMap data use cases during the early months of the COVID-19 pandemic P Mooney, AY Grinberger, M Minghini, S Coetzee, L Juhasz, G Yeboah COVID-19 pandemic, geospatial information, and community resilience, 171-186, 2021 | 19 | 2021 |
| Technical guidelines to extract and analyze VGI from different platforms L Juhász, A Rousell, J Jokar Arsanjani Data 1 (3), 15, 2016 | 14 | 2016 |
| Correctness Comparison of ChatGPT‐4, Gemini, Claude‐3, and Copilot for Spatial Tasks HH Hochmair, L Juhász, T Kemp Transactions in GIS, 2024 | 13 | 2024 |
Hartwig HochmairUniversity of Floridaufl.edu üzerinde doğrulanmış e-posta adresine sahip
