Richard F.J. Haans

Strategy and Management · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Strategy and Management — 28 citations into it; #8,466 of 10,874 by trust here, #4,148 by citations
• Artificial Intelligence — 24 citations into it
• Sociology and Political Science — 20 citations into it
• Management Science and Operations Research — 13 citations into it
• General Social Sciences — 6 citations into it

Whom Richard F.J. Haans trusts overall

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

1. David M. Blei
2. Peer C. Fiss
3. T. Griffiths
4. Kathleen M. Eisenhardt
5. Laura K. Nelson
6. Seshadri Tirunillai
7. Tibor Kiss
8. Yang Bao
9. Carson Sievert
10. Sarah Kaplan

Who trusts Richard F.J. Haans overall

1. Lei Guo
2. Markku V. J. Maula
3. Luying Xu
4. W. Stam

Papers from Richard F.J. Haans's perspective

Ordered by how strongly the researchers Richard F.J. Haans trusts endorse each paper. Same corpus, a different order for every researcher.

1. Latent Dirichlet Allocation
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Finding scientific topics
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

Their papers

• Topic Modeling in Management Research: Rendering New Theory from Textual Data (2019) — 485 citations
• Thinking about U: Theorizing and testing U‐ and inverted U‐shaped relationships in strategy research (2016) — 2,263 citations