| Mining brand perceptions from twitter social networks A Culotta, J Cutler Marketing science 35 (3), 343-362, 2016 | 326 | 2016 |
| Predicting the demographics of twitter users from website traffic data A Culotta, N Kumar, J Cutler Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 210 | 2015 |
| Predicting Twitter user demographics using distant supervision from website traffic data A Culotta, NK Ravi, J Cutler Journal of Artificial Intelligence Research 55, 389-408, 2016 | 71 | 2016 |
| B cell receptor genes associated with tolerance identify a cohort of immunosuppressed patients with improved renal allograft graft function A Asare, S Kanaparthi, N Lim, D Phippard, F Vincenti, J Friedewald, ... American Journal of Transplantation 17 (10), 2627-2639, 2017 | 25 | 2017 |
| Using online social networks to measure consumers’ brand perception J Cutler, A Culotta Applied Marketing Analytics 2 (4), 312-321, 2017 | 7 | 2017 |
| Using weak supervision to scale the development of machine-learning models for social media-based marketing research J Cutler, A Culotta Applied Marketing Analytics 5 (2), 159-169, 2019 | 6 | 2019 |
| Finding truth in cause-related advertising: A lexical analysis of brands’ health, environment, and social justice communications on Twitter A Culotta, J Cutler, J Zheng The Journal of Values-Based Leadership 8 (2), 7, 2015 | 4 | 2015 |
| Are words commensurate with actions? quantifying commitment to a cause from online public messaging Z Wang, J Cutler, A Culotta 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 1050-1057, 2017 | 2 | 2017 |
