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
- Safety, Risk, Reliability and Quality — 40 citations into it; #391 of 1,220 by trust here, #437 by citations
- Transportation — 21 citations into it
- Public Health, Environmental and Occupational Health — 13 citations into it; #699 of 2,368 by trust here, #1,354 by citations
- Economics and Econometrics — 9 citations into it
- Pulmonary and Respiratory Medicine — 7 citations into it
- Civil and Structural Engineering — 5 citations into it
Whom Grigorios Fountas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Fred L. Mannering
- Panagiotis Ch. Anastasopoulos
- Q. Vuong
- Mohamed A. Abdel-Aty
- Mark N. Harris
- Chandra R. Bhat
- Chris Tofallis
- Xueyan Zhao
- Yingge Xiong
- Naveen Eluru
Who trusts Grigorios Fountas overall
- N. S. Al-Bdairi
- Ali Behnood
- Xiang Yan
- Salvador Hernández
- Panagiotis Ch. Anastasopoulos
- Miao Yu
- Xilei Zhao
- 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.
- Temporal instability and the analysis of highway accident data
- The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. (Accident Analysis and Prevention)
- A mixed generalized ordered response model for examining pedestrian and bicyclist injury severity level in traffic crashes. (Accident Analysis and Prevention)
- Analysis of driver injury severity levels at multiple locations using ordered probit models. (Journal of Safety Research)
- Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
- The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity
- An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models
- A zero-inflated ordered probit model, with an application to modelling tobacco consumption
- A better measure of relative prediction accuracy for model selection and model estimation (Journal of the Operational Research Society)
- Sample selection bias as a specification error
Their papers
- The influence of traffic, geometric and context variables on urban crash types: A grouped random parameter multinomial logit approach (2020) — 50 citations
- The effects of driver fatigue, gender, and distracted driving on perceived and observed aggressive driving behavior: A correlated grouped random parameters bivariate probit approach (2019) — 167 citations
- Analysis of accident injury-severity outcomes: The zero-inflated hierarchical ordered probit model with correlated disturbances (2018) — 98 citations
- Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates (2018) — 227 citations