David C. Mohr

Applied Psychology · Journal of Medical Internet Research · 2005–2021

A researcher in the Science corpus: 13 papers; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom David C. Mohr trusts overall

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

  1. Harri Oinas-Kukkonen
  2. Gunther Eysenbach
  3. Nathan Eagle
  4. C. Abraham
  5. Susan Michie
  6. Helen Christensen
  7. Alex Pentland
  8. Rosalind W. Picard
  9. Kristin E. Heron
  10. Lee M. Ritterband

Who trusts David C. Mohr overall

  1. Stephen M. Schueller
  2. M. Burns
  3. Simon Provoost
  4. Annika Howells
  5. Shen Yan
  6. Victor P. Cornet
  7. Lucy Yardley
  8. Simon D’Alfonso
  9. Inbal Nahum-Shani
  10. John B. Torous

Papers from David C. Mohr's perspective

Ordered by how strongly the researchers David C. Mohr 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers