Katharine Turner

Computational Theory and Mathematics · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Katharine Turner trusts overall

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

  1. David Cohen-Steiner
  2. Herbert Edelsbrunner
  3. Jan Reininghaus
  4. John Harer

Who trusts Katharine Turner overall

  1. Frédéric Chazal

Papers from Katharine Turner's perspective

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

  1. Stability of Persistence Diagrams (Discrete & Computational Geometry)
  2. A stable multi-scale kernel for topological machine learning (Computer Vision and Pattern Recognition)
  3. Clique topology reveals intrinsic geometric structure in neural correlations (Proceedings of the National Academy of Sciences of the United States of America)
  4. Random graphs
  5. A synaptic organizing principle for cortical neuronal groups
  6. Efficient behavior of small-world networks. (Physical Review Letters)
  7. Network neuroscience (Nature Neuroscience)
  8. Highly Nonrandom Features of Synaptic Connectivity in Local Cortical Circuits
  9. Complex brain networks: graph theoretical analysis of structural and functional systems
  10. Scikit-learn: Machine Learning in Python

Their papers