Ahmed Elnaggar

Molecular Biology · 2019–2021

A researcher in the Science corpus: 6 papers; trusts 90 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ahmed Elnaggar trusts overall

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

  1. Burkhard Rost
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Christopher Sander
  5. Yoshua Bengio
  6. Tomas Mikolov
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Sepp Hochreiter
  10. Ehsaneddin Asgari

Who trusts Ahmed Elnaggar overall

  1. Dan Ofer
  2. Roshan Rao
  3. Konstantin Weissenow
  4. Joshua Meier
  5. Amy X. Lu
  6. Nadav Brandes
  7. Chun Xia
  8. Michael Heinzinger
  9. Joe G. Greener
  10. Jesse Vig

Papers from Ahmed Elnaggar's perspective

Ordered by how strongly the researchers Ahmed Elnaggar 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers