Grigorios Fountas

Safety, Risk, Reliability and Quality · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Grigorios Fountas trusts overall

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

  1. Fred L. Mannering
  2. Panagiotis Ch. Anastasopoulos
  3. Q. Vuong
  4. Mohamed A. Abdel-Aty
  5. Mark N. Harris
  6. Chandra R. Bhat
  7. Chris Tofallis
  8. Xueyan Zhao
  9. Yingge Xiong
  10. Naveen Eluru

Who trusts Grigorios Fountas overall

  1. N. S. Al-Bdairi
  2. Ali Behnood
  3. Xiang Yan
  4. Salvador Hernández
  5. Panagiotis Ch. Anastasopoulos
  6. Miao Yu
  7. Xilei Zhao
  8. Meng Fanyu

Papers from Grigorios Fountas's perspective

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

  1. Temporal instability and the analysis of highway accident data
  2. The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. (Accident Analysis and Prevention)
  3. A mixed generalized ordered response model for examining pedestrian and bicyclist injury severity level in traffic crashes. (Accident Analysis and Prevention)
  4. Analysis of driver injury severity levels at multiple locations using ordered probit models. (Journal of Safety Research)
  5. Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
  6. The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity
  7. An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models
  8. A zero-inflated ordered probit model, with an application to modelling tobacco consumption
  9. A better measure of relative prediction accuracy for model selection and model estimation (Journal of the Operational Research Society)
  10. Sample selection bias as a specification error

Their papers