Andrea De Mauro
Computer Networks and Communications · 2015–2017
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 18 citations into it
- Management Information Systems — 17 citations into it; #1,727 of 3,376 by trust here, #1,022 by citations
- Information Systems — 15 citations into it; #4,900 of 8,771 by trust here, #4,885 by citations
- Information Systems and Management — 15 citations into it; #2,038 of 3,842 by trust here, #1,748 by citations
- Artificial Intelligence — 9 citations into it
- ML Systems & Hardware — 9 citations into it
- Economics and Econometrics — 6 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Andrea De Mauro trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Manyika
- David M. Blei
- Bernard Marr
- Martin Hilbert
- Muthu Dayalan
- Giselle C. Guzman
- Jennifer E. Rowley
- D. boyd
- Jonathan Stuart Ward
- Hsinchun Chen
Who trusts Andrea De Mauro overall
Papers from Andrea De Mauro's perspective
Ordered by how strongly the researchers Andrea De Mauro trusts endorse each paper. Same corpus, a different order for every researcher.
- MapReduce: simplified data processing on large clusters
- Probabilistic topic models
- Big data: The next frontier for innovation, competition, and productivity
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Business Intelligence and Analytics: From Big Data to Big Impact (MIS Q.)
- On growth drivers of high-tech start-ups: Exploring the role of founders' human capital and venture capital
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- What is big data? A consensual definition and a review of key research topics (2015) — 462 citations
- Human resources for Big Data professions: A systematic classification of job roles and required skill sets (2017) — 318 citations
- A formal definition of Big Data based on its essential features (2016) — 754 citations