| Uncovering coordinated networks on social media: Methods and case studies D Pacheco, PM Hui, C Torres-Lugo, BT Truong, A Flammini, F Menczer Proceedings of the International AAAI Conference on Web and Social Media 15 …, 2021 | 203* | 2021 |
| Neutral bots probe political bias on social media W Chen, D Pacheco, KC Yang, F Menczer Nature communications 12 (1), 5580, 2021 | 121* | 2021 |
| Unveiling Coordinated Groups Behind White Helmets Disinformation D Pacheco, A Flammini, F Menczer Companion Proceedings of the Web Conference 2020, 611-616, 2020 | 87 | 2020 |
| Intelligent support decision in sugarcane harvest FR da Silva Oliveira, DF Pacheco, A Leonel, FB de Lima Neto Computers in Agriculture and Natural Resources, 23-25 July 2006, Orlando …, 2006 | 21 | 2006 |
| Massive multi-agent data-driven simulations of the github ecosystem J Blythe, J Bollenbacher, D Huang, PM Hui, R Krohn, D Pacheco, G Muric, ... Advances in Practical Applications of Survivable Agents and Multi-Agent …, 2019 | 18 | 2019 |
| Characterizing Organ Donation Awareness from Social Media DF Pacheco, D Pinheiro, M Cadeiras, R Menezes 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1541-1548, 2017 | 18 | 2017 |
| On the challenges of predicting microscopic dynamics of online conversations J Bollenbacher, D Pacheco, PM Hui, YY Ahn, A Flammini, F Menczer Applied Network Science 6, 1-21, 2021 | 17 | 2021 |
| Characterization of Football Supporters from Twitter Conversations DF Pacheco, D Pinheiro, FB de Lima-Neto, E Ribeiro, R Menezes 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI' 16), 169-176, 2016 | 15 | 2016 |
| Identification and characterization of misinformation superspreaders on social media MR DeVerna, R Aiyappa, D Pacheco, J Bryden, F Menczer Arxiv preprint arXiv:2207.09524, 2022 | 14 | 2022 |
| The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem J Blythe, E Ferrara, D Huang, K Lerman, G Muric, A Sapienza, A Tregubov, ... Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 14 | 2019 |
| Identifying and characterizing superspreaders of low-credibility content on Twitter MR DeVerna, R Aiyappa, D Pacheco, J Bryden, F Menczer Plos one 19 (5), e0302201, 2024 | 9 | 2024 |
| Using Social Media to Assess Neighborhood Social Disorganization: A Case Study in the United Kingdom DF Pacheco, M Oliveira, R Menezes Florida Artificial Intelligence Research Society Conference 30, 341-346, 2017 | 7 | 2017 |
| Including multi-objective abilities in the hybrid intelligent suite for decision support DF Pacheco, FRS Oliveira, FBL Neto 2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008 | 7 | 2008 |
| An Intelligent Decision Support System for Agriculture Harvest DF Pacheco Technical Report presented as Graduation Monograph, Department of Computing …, 2006 | 7 | 2006 |
| How to Obtain Fair Managerial Decisions in Sugar Cane Harvest Using NSGA-2 DF Pacheco, TDP Lucas, FB de Lima Neto | 6 | 2007 |
| Utilização de Redes Neurais Artificiais em colheitas de cana-de-açúcar para predição de PCC, TCH e fibra DF Pacheco, FS Regueira, FBL NETO Revista Alcoolbrás, São Paulo, 2005 | 6 | 2005 |
| Getting the Boot? Predicting the Dismissal of Managers in Football M Attié, D Pacheco, M Oliveira International Workshop on Complex Networks, 132-140, 2023 | 5 | 2023 |
| Football Conversations: What Twitter Reveals about the 2014 World Cup DF Pacheco, FB de Lima-Neto, LG Moyano, R Menezes Brazilian Workshop on Social Network Analysis and Mining (CSBC 2015 - BraSNAM), 2015 | 5 | 2015 |
| Hybrid Intelligent Suite for Decision Support FBL Neto, FRS Oliveira, DF Pacheco Seventh International Conference on Intelligent Systems Design and …, 2007 | 5 | 2007 |
| Using Artificial Neural Networks on Sugarcane Harvest to Predict Sucrose, Fiber and Productivity D Pacheco, F Regueira, FB de Lima Neto ALCOOLbrás, 0 | 4 | |
Filippo MenczerLuddy Distinguished Professor of Informatics and Computer Science, Indiana UniversityVerified email at indiana.edu