Derek Ruths

Artificial Intelligence · 2012–2021

A researcher in the Science corpus: 14 papers; trusts 34 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it; #7,122 of 35,345 by trust here, #9,557 by citations
• Statistical and Nonlinear Physics — 48 citations into it; #1,994 of 10,127 by trust here, #2,631 by citations
• Natural Language Processing — 32 citations into it
• Communication — 31 citations into it; #1,045 of 3,460 by trust here, #1,019 by citations
• Information Systems — 28 citations into it
• Safety, Robustness & Interpretability — 19 citations into it
• Evaluation & Benchmarks — 10 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Derek Ruths trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chih-Jen Lin
2. Michael D. Conover
3. Marco Pennacchiotti
4. Daniel Ramage
5. Jacob Ratkiewicz
6. Ana-Maria Popescu
7. Bruno Gonçalves
8. Steven Bird
9. Delip Rao
10. Alan Mislove

Who trusts Derek Ruths overall

1. Isaac L. Johnson
2. Alexandra Olteanu
3. Q. Liao
4. Dong Nguyen
5. Momin M. Malik
6. Katrin Weller
7. Dirk Hovy
8. Yang-Yu Liu
9. Daniel Preotiuc-Pietro
10. Subhasree Sengupta

Papers from Derek Ruths's perspective

Ordered by how strongly the researchers Derek Ruths trusts endorse each paper. Same corpus, a different order for every researcher.

1. Latent Dirichlet Allocation
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. LIBSVM: A library for support vector machines
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Control Profiles of Complex Networks (2014) — 388 citations
• Classifying Political Orientation on Twitter: It's Not Easy! (2013) — 275 citations
• Social media for large studies of behavior (2014) — 634 citations
• User Migration in Online Social Networks: A Case Study on Reddit During a Period of Community Unrest (2016) — 129 citations
• Vectors for Counterspeech on Twitter (2017) — 54 citations
• Effects of Disaster Characteristics on Twitter Event Signature (2014) — 19 citations
• The causes and consequences of COVID-19 misperceptions: Understanding the role of news and social media (2020) — 385 citations
• To Buy or to Read: How a Platform Shapes Reviewing Behavior (2021) — 9 citations
• Towards a Comprehensive Taxonomy and Large-Scale Annotated Corpus for Online Slur Usage (2020) — 49 citations
• Everyone's Invited: A New Paradigm for Evaluation on Non-Transferable Datasets (2015) — 3 citations
• Geolocation Prediction in Twitter Using Social Networks: A Critical Analysis and Review of Current Practice (2015) — 231 citations
• Organizations Are Users Too: Characterizing and Detecting the Presence of Organizations on Twitter (2015) — 66 citations
• Gender Inference of Twitter Users in Non-English Contexts (2013) — 147 citations
• Homophily and Latent Attribute Inference: Inferring Latent Attributes of Twitter Users from Neighbors (2012) — 371 citations