| Finding your friends and following them to where you are A Sadilek, H Kautz, JP Bigham Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 465 | 2012 |
| Modeling spread of disease from social interactions A Sadilek, H Kautz, V Silenzio Proceedings of the international AAAI conference on web and social media 6 …, 2012 | 286 | 2012 |
| Assessing the impact of coordinated COVID-19 exit strategies across Europe NW Ruktanonchai, JR Floyd, S Lai, CW Ruktanonchai, A Sadilek, ... Science 369 (6510), 1465-1470, 2020 | 274 | 2020 |
| Real-time captioning by groups of non-experts W Lasecki, C Miller, A Sadilek, A Abumoussa, D Borrello, R Kushalnagar, ... Proceedings of the 25th annual ACM symposium on User interface software and …, 2012 | 268 | 2012 |
| Hierarchical organization of urban mobility and its connection with city livability A Bassolas, H Barbosa-Filho, B Dickinson, X Dotiwalla, P Eastham, ... Nature communications 10 (1), 4817, 2019 | 251 | 2019 |
| Predicting disease transmission from geo-tagged micro-blog data A Sadilek, H Kautz, V Silenzio Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 136-142, 2012 | 235 | 2012 |
| Untangling introductions and persistence in COVID-19 resurgence in Europe P Lemey, N Ruktanonchai, SL Hong, V Colizza, C Poletto, ... Nature 595 (7869), 713-717, 2021 | 205 | 2021 |
| Privacy-first health research with federated learning A Sadilek, L Liu, D Nguyen, M Kamruzzaman, S Serghiou, B Rader, ... NPJ digital medicine 4 (1), 132, 2021 | 196 | 2021 |
| Far out: Predicting long-term human mobility A Sadilek, J Krumm Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 814-820, 2012 | 164 | 2012 |
| Causalgnn: Causal-based graph neural networks for spatio-temporal epidemic forecasting L Wang, A Adiga, J Chen, A Sadilek, S Venkatramanan, M Marathe Proceedings of the AAAI conference on artificial intelligence 36 (11), 12191 …, 2022 | 160 | 2022 |
| Mapping global variation in human mobility MUG Kraemer, A Sadilek, Q Zhang, NA Marchal, G Tuli, EL Cohn, ... Nature Human Behaviour 4 (8), 800-810, 2020 | 159 | 2020 |
| Context-specific emergence and growth of the SARS-CoV-2 Delta variant JT McCrone, V Hill, S Bajaj, RE Pena, BC Lambert, R Inward, S Bhatt, ... Nature 610 (7930), 154-160, 2022 | 129 | 2022 |
| Uncovering the socioeconomic facets of human mobility H Barbosa, S Hazarie, B Dickinson, A Bassolas, A Frank, H Kautz, ... Scientific reports 11 (1), 8616, 2021 | 121 | 2021 |
| Machine-learned epidemiology: real-time detection of foodborne illness at scale A Sadilek, S Caty, L DiPrete, R Mansour, T Schenk Jr, M Bergtholdt, A Jha, ... NPJ digital medicine 1 (1), 36, 2018 | 114 | 2018 |
| Deploying nEmesis: Preventing foodborne illness by data mining social media A Sadilek, H Kautz, L DiPrete, B Labus, E Portman, J Teitel, V Silenzio Ai Magazine 38 (1), 37-48, 2017 | 114 | 2017 |
| Crowdphysics: Planned and opportunistic crowdsourcing for physical tasks A Sadilek, J Krumm, E Horvitz Proceedings of the international AAAI conference on web and social media 7 …, 2013 | 105 | 2013 |
| Recognizing multi-agent activities from GPS data A Sadilek, H Kautz Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1134-1139, 2010 | 87 | 2010 |
| Forecasting influenza activity using machine-learned mobility map S Venkatramanan, A Sadilek, A Fadikar, CL Barrett, M Biggerstaff, J Chen, ... Nature communications 12 (1), 726, 2021 | 82 | 2021 |
| nemesis: Which restaurants should you avoid today? A Sadilek, S Brennan, H Kautz, V Silenzio Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 …, 2013 | 75 | 2013 |
| Impact of urban structure on infectious disease spreading J Aguilar, A Bassolas, G Ghoshal, S Hazarie, A Kirkley, M Mazzoli, ... Scientific reports 12 (1), 3816, 2022 | 66 | 2022 |
Paul EasthamIndependent consultant, ex-GoogleVerified email at burningman.org
