R. van de Schoot

Statistics and Probability · 2009–2020

A researcher in the Science corpus: 14 papers; trusts 81 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom R. van de Schoot trusts overall

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

  1. Daniel M. McNeish
  2. John K. Kruschke
  3. Andrew Gelman
  4. Yves Rosseel
  5. Michael Betancourt
  6. Kenneth A. Bollen
  7. David Ruppert
  8. Paul Holland
  9. Rachel T. Fouladi
  10. Daniel Stegmueller

Who trusts R. van de Schoot overall

  1. Daniel M. McNeish
  2. Liezl-Marié van der Westhuizen
  3. H. Altrichter
  4. S. Depaoli
  5. Yue Xiao
  6. C. Pazzagli
  7. Jens B. Asendorpf
  8. David Kemethofer
  9. Milica Miočević
  10. Laura M. Stapleton

Papers from R. van de Schoot's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Estimating the Dimension of a Model
  10. Inference from Iterative Simulation Using Multiple Sequences

Their papers