Jonathan L. Weigel

Economics and Econometrics · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 35 citations into it
• Sociology and Political Science — 20 citations into it
• Demography — 17 citations into it
• Safety Research — 9 citations into it
• Accounting — 8 citations into it
• Development — 8 citations into it
• Political Science and International Relations — 7 citations into it
• Building and Construction — 5 citations into it

Whom Jonathan L. Weigel trusts overall

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

1. Benjamin A. Olken
2. Laura Paler
3. Timothy J. Besley
4. Dina Pomeranz
5. David M. Blei
6. Lucie Gadenne
7. Torsten Persson
8. M. Moore
9. Michael L. Ross
10. Andrew Y. Ng

Papers from Jonathan L. Weigel's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Latent Dirichlet Allocation
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. GENERATIVE ADVERSARIAL NETS

Their papers

• The Participation Dividend of Taxation: How Citizens in Congo Engage More with the State When it Tries to Tax Them* (2020) — 113 citations
• The Evolution of Culture and Institutions: Evidence from the Kuba Kingdom (2017) — 238 citations