R. Kays

Ecology · 2001–2021

A researcher in the Science corpus: 29 papers; trusts 27 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Whom R. Kays trusts overall

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

  1. K. Burnham
  2. E. Kalko
  3. David R. Anderson
  4. Bart Kranstauber
  5. J. Marcus Rowcliffe
  6. M. Théry
  7. Ran Nathan
  8. David G. Lowe
  9. D. MacKenzie
  10. Somayeh Dodge

Who trusts R. Kays overall

  1. C. Badgley
  2. P. Freeman
  3. Sara Beery
  4. Andrea S. Laliberte
  5. A. Estrada
  6. E. Barthelmess
  7. Dominic D. P. Johnson
  8. Hong Qian
  9. Robert Swihart
  10. David W. Macdonald

Papers from R. Kays's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Et al
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

Their papers