| Mapping impervious surfaces precisely—a GIS-based methodology combining vector data and high-resolution airborne imagery S Schmidt, C Barron Journal of Geovisualization and Spatial Analysis 4 (1), 14, 2020 | 22 | 2020 |
| Polarity-based sentiment analysis of georeferenced Tweets related to the 2022 Twitter acquisition S Schmidt, C Zorenböhmer, D Arifi, B Resch Information 14 (2), 71, 2023 | 18* | 2023 |
| Greenwashing in the US metal industry? A novel approach combining SO2 concentrations from satellite data, a plant-level firm database and web text mining S Schmidt, J Kinne, S Lautenbach, T Blaschke, D Lenz, B Resch Science of The Total Environment 835, 155512, 2022 | 15 | 2022 |
| Drowning in the Information Flood: Machine-Learning-Based Relevance Classification of Flood-Related Tweets for Disaster Management E Blomeier, S Schmidt, B Resch Information 15 (3), 149, 2024 | 12 | 2024 |
| Technology mapping using WebAI: The case of 3D printing J Schwierzy, R Dehghan, S Schmidt, E Rodepeter, A Stoemmer, K Uctum, ... arXiv preprint arXiv:2201.01125, 2022 | 5 | 2022 |
| Active Learning for Identifying Disaster-Related Tweets: A Comparison with Keyword Filtering and Generic Fine-Tuning D Hanny, S Schmidt, B Resch Intelligent Systems Conference, 126-142, 2024 | 4 | 2024 |
| Contextual Enrichment of Crowds from Mobile Phone Data through Multimodal Geo-Social Media Analysis K Honzák, S Schmidt, B Resch, P Ruthensteiner ISPRS International Journal of Geo-Information 13 (10), 350, 2024 | 2 | 2024 |
| Climatic effects on Argentina’s traditional drink–a machine learning based yerba mate productivity prediction H Kemper, S Schmidt, T Keller ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2022 | 2 | 2022 |
| Location factors and ecosystem embedding of sustainability-engaged blockchain companies in the US. A web-based analysis J Kinne, R Dehghan, S Schmidt, D Lenz, H Hottenrott International Journal of Information Management Data Insights 4 (2), 2024 | 1 | 2024 |
| Legal and Ethical Considerations for Demand-Driven Data Collection and AI-Based Analysis in Flood Response C Gilga, C Hochwarter, L Knoche, S Schmidt, G Ringler, M Wieland, ... Available at SSRN 4911032, 2024 | 1 | 2024 |
| EmoGRACE: Aspect-based emotion analysis for social media data C Zorenböhmer, S Schmidt, B Resch arXiv preprint arXiv:2503.15133, 2025 | | 2025 |
| Enhancing satellite-based emergency mapping: Identifying wildfires through geo-social media analysis S Schmidt, M Friedemann, D Hanny, B Resch, T Riedlinger, M Mühlbauer Big Earth Data, 1-23, 2025 | | 2025 |
| Fusion of geospatial information from remote sensing and social media to prioritise rapid response actions in case of floods M Wieland, S Schmidt, B Resch, A Abecker, S Martinis Natural Hazards, 1-28, 2025 | | 2025 |
| Tracing online flood conversations across borders: A watershed level analysis of geo-social media topics during the 2021 European flood S Dujardin, D Arifi, S Schmidt, C Linard, B Resch EGUsphere 2024, 1-29, 2024 | | 2024 |
| 3D printing and sustainability: A web analysis approach R Dehghan, S Schmidt, J Schwierzy Gesellschaft für Informatik eV, 2023 | | 2023 |
Bernd ReschProfessor for Geosocial AI, IT:U :: https://it-u.at ||| Visiting Scholar, Harvard University在 it-u.at 的電子郵件地址已通過驗證
