Nikolay Archak

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #13,252 of 35,345 by trust here, #12,974 by citations
• Marketing — 13 citations into it; #1,497 of 6,289 by trust here, #1,670 by citations
• Sociology and Political Science — 13 citations into it; #5,735 of 22,756 by trust here, #5,668 by citations
• Economics and Econometrics — 6 citations into it
• Information Systems — 6 citations into it
• Natural Language Processing — 6 citations into it

Whom Nikolay Archak trusts overall

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

1. Eric R. Ziegel
2. Jeffrey M. Wooldridge
3. Minqing Hu
4. Bo Pang
5. Ana-Maria Popescu
6. Sanjiv Ranjan Das
7. David Godes
8. Trevor J. Hastie
9. Wenjing Duan
10. Chris M. Forman

Who trusts Nikolay Archak overall

1. Anindya Ghose
2. Sha Yang
3. Dokyun Lee
4. Nan Hu
5. Bin Gu
6. Panagiotis Adamopoulos
7. Panagiotis G. Ipeirotis
8. Noi Sian Koh
9. Jaehong Park
10. Kartik Hosanagar

Papers from Nikolay Archak's perspective

Ordered by how strongly the researchers Nikolay Archak 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. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Mining and summarizing customer reviews
10. Thumbs up? Sentiment Classification using Machine Learning Techniques

Their papers

• Deriving the Pricing Power of Product Features by Mining Consumer Reviews (2011) — 1,033 citations