Keyvan Vakili

Strategy and Management · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Strategy and Management — 31 citations into it
• Artificial Intelligence — 25 citations into it
• Sociology and Political Science — 21 citations into it
• Economics and Econometrics — 10 citations into it
• Management Science and Operations Research — 10 citations into it
• Management of Technology and Innovation — 8 citations into it
• Information Systems — 7 citations into it
• Statistics and Probability — 7 citations into it

Whom Keyvan Vakili trusts overall

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

1. David M. Blei
2. Stefano Maria Iacus
3. Peer C. Fiss
4. T. Griffiths
5. Kathleen M. Eisenhardt
6. Brian Uzzi
7. Gautam Ahuja
8. Laura K. Nelson
9. Jeffrey L. Furman
10. Lee Fleming

Papers from Keyvan Vakili's perspective

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

1. Latent Dirichlet Allocation
2. Finding scientific topics
3. Foundations of Statistical Natural Language Processing
4. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
5. The Author-Topic Model for Authors and Documents (Conference on Uncertainty in Artificial Intelligence)
6. Reading Tea Leaves: How Humans Interpret Topic Models
7. From Frequency to Meaning: Vector Space Models of Semantics
8. The Stanford CoreNLP Natural Language Processing Toolkit
9. Optimizing Semantic Coherence in Topic Models (Conference on Empirical Methods in Natural Language Processing)
10. Probabilistic topic models

Their papers

• Topic Modeling in Management Research: Rendering New Theory from Textual Data (2019) — 485 citations
• Creativity at the Knowledge Frontier: The Impact of Specialization in Fast- and Slow-paced Domains* (2018) — 150 citations