Daniel Hopkins

Artificial Intelligence · 2005–2019

A researcher in the Science corpus: 7 papers; trusts 35 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #11,668 of 35,345 by trust here, #17,412 by citations
• Sociology and Political Science — 28 citations into it; #5,211 of 22,756 by trust here, #9,515 by citations
• Political Science and International Relations — 18 citations into it; #705 of 4,701 by trust here, #631 by citations
• Statistics and Probability — 17 citations into it; #4,192 of 12,932 by trust here, #4,517 by citations
• Natural Language Processing — 15 citations into it
• Economics and Econometrics — 12 citations into it; #5,781 of 23,481 by trust here, #7,755 by citations
• Information Systems — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Daniel Hopkins trusts overall

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

1. Gary King
2. Thorsten Joachims
3. David Ruppert
4. Gi-Pyo Park
5. Bo Pang
6. Daniel E. Ho
7. Donald B. Rubin
8. Kristin N. Javaras
9. Alberto Abadie
10. Chih-Wei Hsu

Who trusts Daniel Hopkins overall

1. Gary King
2. Daniel Gayo-Avello
3. Claudia Senik
4. Margaret E. Roberts
5. Yanna Krupnikov
6. Jennifer Pan
7. Junyan Jiang
8. Andrea Ceron
9. Ingar K. Haaland
10. Lindsey Jones

Papers from Daniel Hopkins's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. GloVe: Global Vectors for Word Representation
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Improving Anchoring Vignettes Designing Surveys to Correct Interpersonal Incomparability (2010) — 205 citations
• Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments (2013) — 1,787 citations
• Beyond Binary Labels: Political Ideology Prediction of Twitter Users (2017) — 282 citations
• The Muted Consequences of Correct Information about Immigration (2019) — 267 citations
• The Constraining Power of International Treaties: Theory and Methods (2005) — 210 citations
• The Diversity Discount: When Increasing Ethnic and Racial Diversity Prevents Tax Increases (2009) — 141 citations
• A Method of Automated Nonparametric Content Analysis for Social Science (2010) — 820 citations