Fred L. Mannering
Safety, Risk, Reliability and Quality · 2000–2020
A researcher in the Science corpus: 18 papers; trusts 46 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Safety, Risk, Reliability and Quality — 53 citations into it; #19 of 1,220 by trust here, #21 by citations
- Economics and Econometrics — 48 citations into it; #20,739 of 23,481 by trust here, #9,444 by citations
- Statistics and Probability — 48 citations into it
- Transportation — 48 citations into it; #317 of 2,062 by trust here, #258 by citations
- Artificial Intelligence — 40 citations into it
- Computer Vision and Pattern Recognition — 23 citations into it
- Building and Construction — 16 citations into it; #465 of 2,909 by trust here, #1,273 by citations
- Generative Models — 14 citations into it
Whom Fred L. Mannering trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chandra R. Bhat
- Kenneth Train
- James J. Heckman
- Peter T. Savolainen
- Mohamed A. Abdel-Aty
- Donald B. Rubin
- Joshua D. Angrist
- Daniel McFadden
- Naveen Eluru
- D. Lord
Who trusts Fred L. Mannering overall
- Grigorios Fountas
- Panagiotis Ch. Anastasopoulos
- Ali Behnood
- Mouyid Islam
- Yajie Zou
- Chandra R. Bhat
- N. S. Al-Bdairi
- Miao Yu
- D. Lord
- Narayanaswamy Venkataraman
Papers from Fred L. Mannering's perspective
Ordered by how strongly the researchers Fred L. Mannering trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
Their papers
- An exploration of the offset hypothesis using disaggregate data: The case of airbags and antilock brakes (2006) — 152 citations
- Panel Data Analysis (2003) — 266 citations
- The heterogeneous effects of guardian supervision on adolescent driver-injury severities: A finite-mixture random-parameters approach (2013) — 172 citations
- A temporal analysis of driver-injury severities in crashes involving aggressive and non-aggressive driving (2020) — 209 citations
- Big data, traditional data and the tradeoffs between prediction and causality in highway-safety analysis (2020) — 358 citations
- Modeling traffic conflicts for use in road safety analysis: A review of analytic methods and future directions (2020) — 298 citations
- Unobserved heterogeneity and temporal instability in the analysis of work-zone crash-injury severities (2020) — 147 citations
- Latent Variable Models (2019)
- Temporal instability and the analysis of highway accident data (2018) — 464 citations
- An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models (2016) — 244 citations
- The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity (2014) — 144 citations
- Statistical analysis of pedestrian perceptions of sidewalk level of service in the presence of bicycles (2013) — 119 citations
- The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. (2011) — 994 citations
- A note on modeling vehicle accident frequencies with random-parameters count models. (2009) — 728 citations
- Highway accident severities and the mixed logit model: an exploratory empirical analysis. (2008) — 842 citations
- Airport Security Screening and Changing Passenger Satisfaction: An Exploratory Assessment (2006) — 146 citations
- Statistical and econometric methods for transportation data analysis (2003) — 110 citations
- An exploratory hazard-based analysis of highway incident duration (2000) — 349 citations