Santiago Segarra

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Statistical and Nonlinear Physics — 15 citations into it
• Molecular Biology — 7 citations into it
• Computational Mechanics — 6 citations into it
• Statistics and Probability — 6 citations into it

Whom Santiago Segarra trusts overall

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

1. Eric D. Kolaczyk
2. Mark Newman
3. A. Hinge
4. Xiaowen Dong
5. Aliaksei Sandryhaila
6. Olaf Sporns
7. Alan M. Frieze
8. Nicolai Meinshausen
9. Vassilis Kalofolias
10. David I. Shuman

Who trusts Santiago Segarra overall

1. Gonzalo Mateos
2. Xiaowen Dong
3. Dorina Thanou

Papers from Santiago Segarra's perspective

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

1. High-dimensional graphs and variable selection with the Lasso
2. Atomic Decomposition by Basis Pursuit
3. Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
4. Model selection and estimation in the Gaussian graphical model
5. Discrete Signal Processing on Graphs
6. Vertex-Frequency Analysis on Graphs
7. Matrix Computations
8. Discrete Signal Processing on Graphs: Frequency Analysis (IEEE Transactions on Signal Processing)
9. An Introduction to Information Retrieval
10. Gradient-based learning applied to document recognition

Their papers

• Connecting the Dots: Identifying Network Structure via Graph Signal Processing (2018) — 401 citations
• Network Topology Inference from Spectral Templates (2016) — 309 citations