Daniel Rock
Economics and Econometrics · 2017–2023
A researcher in the Science corpus: 6 papers; trusts 48 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 91 citations into it; #4,547 of 23,481 by trust here, #3,935 by citations
- Economics & Operations Research — 48 citations into it; #80 of 244 by trust here, #45 by citations
- Strategy and Management — 30 citations into it
- Artificial Intelligence — 28 citations into it
- Sociology and Political Science — 24 citations into it; #10,491 of 22,756 by trust here, #6,353 by citations
- Social Sciences & Humanities — 19 citations into it
- Management Science and Operations Research — 16 citations into it; #9,508 of 11,946 by trust here, #5,787 by citations
- Accounting — 15 citations into it
Whom Daniel Rock trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Erik Brynjolfsson
- David H. Autor
- Daron Acemoglu
- T. Bresnahan
- Chad Syverson
- Nicholas Bloom
- T. R. Crook
- Lorin M. Hitt
- Robert E. Hall
- Michael Webb
Who trusts Daniel Rock overall
- Erik Brynjolfsson
- Tyna Eloundou
- David H. Autor
- Songül Tolan
- Tommaso Ciarli
- J. Feigenbaum
- Jay Dixon
- Sam Manning
- Daron Acemoglu
- Annarosa Pesole
Papers from Daniel Rock's perspective
Ordered by how strongly the researchers Daniel Rock trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models (2023) — 566 citations
- What Can Machines Learn, and What Does It Mean for Occupations and the Economy? (2018) — 567 citations
- COVID-19 and Remote Work: An Early Look at US Data (2020) — 753 citations
- Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics (2017) — 699 citations
- Engineering Value: The Returns to Technological Talent and Investments in Artificial Intelligence (2019) — 63 citations
- The Productivity J-Curve: How Intangibles Complement General Purpose Technologies (2018) — 659 citations