Alessandro Flammini
Statistical and Nonlinear Physics · 2001–2021
A researcher in the Science corpus: 27 papers; trusts 62 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 195 citations into it; #834 of 10,127 by trust here, #144 by citations
- Sociology and Political Science — 149 citations into it; #1,111 of 22,756 by trust here, #313 by citations
- Artificial Intelligence — 91 citations into it; #9,816 of 35,345 by trust here, #5,359 by citations
- Information Systems — 91 citations into it; #609 of 8,771 by trust here, #144 by citations
- Communication — 44 citations into it; #580 of 3,460 by trust here, #192 by citations
- Computer Networks and Communications — 44 citations into it
- Social Sciences & Humanities — 28 citations into it
- Economics and Econometrics — 27 citations into it
Whom Alessandro Flammini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Lada A. Adamic
- Albert-László Barabási
- Jacob Ratkiewicz
- Michael D. Conover
- Jure Leskovec
- Réka Albert
- Alessandro Vespignani
- Romualdo Pastor-Satorras
- Duncan J. Watts
Who trusts Alessandro Flammini overall
- Adam Badawy
- Emilio Ferrara
- David M. Beskow
- Kristina Lerman
- Kai-Cheng Yang
- Filippo Menczer
- Dimitar Nikolov
- Onur Varol
- Olaf Sporns
- Matjaz Perc
Papers from Alessandro Flammini's perspective
Ordered by how strongly the researchers Alessandro Flammini trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Et al
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Human-level control through deep reinforcement learning
- Latent Dirichlet Allocation
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Detecting and Tracking Political Abuse in Social Media (2011) — 645 citations
- Computational Fact Checking from Knowledge Networks (2015) — 477 citations
- Global protein function prediction in protein-protein interaction networks (2003) — 665 citations
- Modeling of Protein Interaction Networks (2001) — 430 citations
- Detecting rich-club ordering in complex networks (2006) — 933 citations
- Truthy: mapping the spread of astroturf in microblog streams (2010) — 508 citations
- BotOrNot: A System to Evaluate Social Bots (2016) — 923 citations
- The rise of social bots (2014) — 2,064 citations
- The spread of low-credibility content by social bots (2017) — 1,210 citations
- Partisan asymmetries in online political activity (2012) — 322 citations
- Competition among memes in a world with limited attention (2012) — 831 citations
- Online Human-Bot Interactions: Detection, Estimation, and Characterization (2017) — 1,106 citations
- Hoaxy: A Platform for Tracking Online Misinformation (2016) — 413 citations
- The DARPA Twitter Bot Challenge (2016) — 408 citations
- Measuring Online Social Bubbles (2015) — 200 citations
- Arming the public with artificial intelligence to counter social bots (2019) — 412 citations
- Defining and identifying Sleeping Beauties in science (2015) — 404 citations
- Topical interests and the mitigation of search engine bias (2005) — 136 citations
- Scale-free network growth by ranking. (2006) — 135 citations
- Quantifying Biases in Online Information Exposure (2018) — 97 citations