Satu Elisa Schaeffer

Statistical and Nonlinear Physics · 2007

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 28 citations into it; #1,437 of 10,127 by trust here, #3,172 by citations
• Artificial Intelligence — 15 citations into it; #8,049 of 35,345 by trust here, #16,471 by citations
• Computational Theory and Mathematics — 15 citations into it
• Computer Networks and Communications — 11 citations into it
• Molecular Biology — 10 citations into it
• Geometry and Topology — 6 citations into it
• Algorithms & Complexity — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Satu Elisa Schaeffer trusts overall

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

1. Mark Newman
2. Béla Bollobás
3. Jon M. Kleinberg
4. Aaron Clauset
5. Vito Latora
6. U. Brandes
7. Jianbo Shi
8. Michelle Girvan
9. Frank McSherry
10. Marina Meila

Who trusts Satu Elisa Schaeffer overall

1. Martin Palecek
2. Leo Liberti
3. Symeon Papadopoulos
4. Santo Fortunato
5. Jure Leskovec
6. Jaewon Yang
7. Yiannis Kompatsiaris
8. Muhammad Farooq Khan Niazi
9. Athena Vakali
10. Mark Newman

Papers from Satu Elisa Schaeffer's perspective

Ordered by how strongly the researchers Satu Elisa Schaeffer 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. The Anatomy of a Large-Scale Hypertextual Web Search Engine
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Graph clustering (2007) — 666 citations