Timothy R. Hannigan

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Strategy and Management — 19 citations into it
• Sociology and Political Science — 16 citations into it
• Management Science and Operations Research — 9 citations into it
• General Social Sciences — 6 citations into it

Whom Timothy R. Hannigan trusts overall

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

1. David M. Blei
2. Peer C. Fiss
3. T. Griffiths
4. Kathleen M. Eisenhardt
5. Laura K. Nelson
6. Seshadri Tirunillai
7. Tibor Kiss
8. Yang Bao
9. Carson Sievert
10. Sarah Kaplan

Who trusts Timothy R. Hannigan overall

1. Markku V. J. Maula
2. W. Stam

Papers from Timothy R. Hannigan's perspective

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

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

Their papers

• Topic Modeling in Management Research: Rendering New Theory from Textual Data (2019) — 485 citations