René Algesheimer

Sociology and Political Science · 2011–2018

A researcher in the Science corpus: 6 papers; trusts 30 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom René Algesheimer trusts overall

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

  1. Mark Newman
  2. Santo Fortunato
  3. Andrea Lancichinetti
  4. John E. Mathieu
  5. Steve W. J. Kozlowski
  6. Philip M. Podsakoff
  7. M. Marks
  8. David P. MacKinnon
  9. Eldad Davidov
  10. Cheryl Burke Jarvis

Who trusts René Algesheimer overall

  1. Vincent A. Traag
  2. Al-Karim Samnani
  3. Hudson F. Golino

Papers from René Algesheimer's perspective

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

  1. The Structure and Function of Complex Networks
  2. A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research
  3. Community structure in social and biological networks (Proceedings of the National Academy of Sciences of the United States of America)
  4. Finding community structure in networks using the eigenvectors of matrices. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  5. Team Effectiveness 1997-2007: A Review of Recent Advancements and a Glimpse Into the Future
  6. Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
  7. In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings
  8. Uncovering the overlapping community structure of complex networks in nature and society (Nature)
  9. Finding community structure in very large networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  10. Near linear time algorithm to detect community structures in large-scale networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)

Their papers