| Combining machine-learning topic models and spatiotemporal analysis of social media data for disaster footprint and damage assessment B Resch, F Usländer, C Havas Cartography and geographic information science 45 (4), 362-376, 2018 | 255 | 2018 |
| An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, ... Science advances 7 (10), eabd6989, 2021 | 172 | 2021 |
| E2mc: Improving emergency management service practice through social media and crowdsourcing analysis in near real time C Havas, B Resch, C Francalanci, B Pernici, G Scalia, ... Sensors 17 (12), 2766, 2017 | 87 | 2017 |
| # London2012: Towards citizen-contributed urban planning through sentiment analysis of twitter data A Kovacs-Gyori, A Ristea, C Havas, B Resch, P Cabrera-Barona Urban Planning 3 (1), 75-99, 2018 | 49 | 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 | 35 | 2020 |
| Adapting mobile map application designs to map use context: a review and call for action on potential future research themes M Bartling, B Resch, T Reichenbacher, CR Havas, AC Robinson, ... Cartography and Geographic Information Science 49 (3), 237-251, 2022 | 29 | 2022 |
| A conditional gan for generating time series data for stress detection in wearable physiological sensor data M Ehrhart, B Resch, C Havas, D Niederseer Sensors 22 (16), 5969, 2022 | 27 | 2022 |
| Enhanced geocoding precision for location inference of tweet text using spaCy, Nominatim and Google Maps. A comparative analysis of the influence of data selection HN Serere, B Resch, CR Havas Plos one 18 (3), e0282942, 2023 | 22 | 2023 |
| Automated seeded latent dirichlet allocation for social media based event detection and mapping C Ferner, C Havas, E Birnbacher, S Wegenkittl, B Resch Information 11 (8), 376, 2020 | 22 | 2020 |
| Portability of semantic and spatial–temporal machine learning methods to analyse social media for near-real-time disaster monitoring C Havas, B Resch Natural Hazards 108 (3), 2939-2969, 2021 | 19 | 2021 |
| Modeling patterns in map use contexts and mobile map design usability M Bartling, CR Havas, S Wegenkittl, T Reichenbacher, B Resch ISPRS International Journal of Geo-Information 10 (8), 527, 2021 | 15 | 2021 |
| Exploratory Spatiotemporal Language Analysis of Geo-Social Network Data for Identifying Movements of Refugees A Petutschnig, CR Havas, B Resch, V Krieger, C Ferner GI_Forum 1, 137-152, 2020 | 10 | 2020 |
| Extracting and Geocoding Locations in Social Media Posts: A Comparative Analysis HN Serere, B Resch, CR Havas, A Petutschnig GI_Forum 2021, 9, 167-173, 2021 | 7 | 2021 |
| An early warning approach to monitor COVID-19 activity with multiple digital traces in near real-time. Sci Adv. 2021 NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, ... | 7 | |
| Spatio-temporal machine learning analysis of social media data and refugee movement statistics C Havas, L Wendlinger, J Stier, S Julka, V Krieger, C Ferner, ... ISPRS International Journal of Geo-Information 10 (8), 498, 2021 | 5 | 2021 |
| An early warning approach to monitor COVID-19 activity with multiple digital traces in near real-time. ArXiv NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, ... Preprint posted online July 3, 2020 | 5 | 2020 |
| Evaluating the Representativeness of Socio-Demographic Variables over Time for Geo-Social Media Data A Petutschnig, B Resch, S Lang, C Havas ISPRS International Journal of Geo-Information 10 (5), 323, 2021 | 4 | 2021 |
| Combining Machine-learning Topic Models and Spatio-temporal Analysis of Social Media Data for Disaster Footprint and Damage Assessment (vol 45, pg 362, 2018) B Resch, F Uslander, C Havas CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE 46 (1), 95-95, 2019 | 4 | 2019 |
| Identifying disaster impacted areas with machine learning and geospatial analysis using social media data CR Havas, B Resch | | 2019 |
| Planning Through Sentiment Analysis of Twitter Data A Kovacs-Gyori, A Ristea, C Havas, B Resch, P Cabrera-Barona | | 2018 |
Bernd ReschProfessor for Geosocial AI, IT:U :: https://it-u.at ||| Visiting Scholar, Harvard Universityit-u.at의 이메일 확인됨