Teemu Makkonen

Statistical and Nonlinear Physics · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Teemu Makkonen trusts overall

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

  1. Mark Newman

Who trusts Teemu Makkonen overall

  1. Franz Tödtling
  2. Michaela Trippl
  3. Veronika Desch

Papers from Teemu Makkonen's perspective

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

  1. Density-Based Clustering Based on Hierarchical Density Estimates (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
  2. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
  3. The Structure and Function of Complex Networks
  4. Collective dynamics of ‘small-world’ networks
  5. Some methods for classification and analysis of multivariate observations
  6. Mean Shift: A Robust Approach Toward Feature Space Analysis
  7. Knowledge transfer in a tourism destination: the effects of a network structure
  8. Using social media to quantify nature-based tourism and recreation (Scientific Reports)
  9. Extracting and understanding urban areas of interest using geotagged photos (Computers, Environment and Urban Systems)
  10. Clustering in weighted networks (Soc. Networks)

Their papers