Daniel Lewis Sussman

Statistical and Nonlinear Physics · 2011–2017

A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 43 citations into it; #6,691 of 10,127 by trust here, #6,156 by citations
• Statistics and Probability — 25 citations into it; #9,071 of 12,932 by trust here, #6,853 by citations
• Artificial Intelligence — 12 citations into it; #34,695 of 35,345 by trust here, #20,836 by citations
• Geometry and Topology — 12 citations into it
• Graph Learning — 12 citations into it
• Molecular Biology — 11 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Discrete Mathematics and Combinatorics — 6 citations into it

Whom Daniel Lewis Sussman trusts overall

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

1. Donald B. Rubin
2. Peter D. Hoff
3. Frank McSherry
4. Stephen P. Boyd
5. Charles F. Manski
6. Tom A. B. Snijders
7. Mark Newman
8. Paul Holland
9. Edoardo M. Airoldi
10. Mark S. Handcock

Who trusts Daniel Lewis Sussman overall

1. Avanti Athreya
2. Caleb H. Miles
3. M. Usaid Awan
4. Renaud Lambiotte
5. Minh Tang
6. Seyed Mehran Kazemi
7. Carey E. Priebe
8. M. Petersen
9. Marco Morucci
10. Jean-Charles Delvenne

Papers from Daniel Lewis Sussman's perspective

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

1. Estimating the Dimension of a Model
2. Stochastic blockmodels: First steps
3. Latent Space Approaches to Social Network Analysis
4. Estimating causal effects of treatments in randomized and nonrandomized studies.
5. Modularity and community structure in networks.
6. Mixed Membership Stochastic Blockmodels
7. Estimation and Prediction for Stochastic Blockmodels for Graphs with Latent Block Structure
8. A nonparametric view of network models and Newman–Girvan and other modularities (Proceedings of the National Academy of Sciences of the United States of America)
9. Algebraic connectivity of graphs
10. On the evolution of random graphs

Their papers

• Elements of estimation theory for causal effects in the presence of network interference (2017) — 78 citations
• A Limit Theorem for Scaled Eigenvectors of Random Dot Product Graphs (2013) — 125 citations
• Statistical Inference on Random Dot Product Graphs: a Survey (2017) — 290 citations
• Saturated Reconstruction of a Volume of Neocortex. (2015) — 1,027 citations
• A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs (2011) — 318 citations