Lourens J. Waldorp
Experimental and Cognitive Psychology · 2003–2022
A researcher in the Science corpus: 16 papers; trusts 87 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Experimental and Cognitive Psychology — 132 citations into it; #635 of 9,731 by trust here, #527 by citations
- Statistics and Probability — 101 citations into it; #9,375 of 12,932 by trust here, #5,294 by citations
- Cognitive Neuroscience — 73 citations into it; #1,583 of 10,852 by trust here, #1,607 by citations
- Artificial Intelligence — 72 citations into it; #25,335 of 35,345 by trust here, #23,077 by citations
- Statistical and Nonlinear Physics — 67 citations into it; #1,102 of 10,127 by trust here, #672 by citations
- Clinical Psychology — 66 citations into it; #6,689 of 8,024 by trust here, #6,016 by citations
- Molecular Biology — 43 citations into it
- Management Science and Operations Research — 40 citations into it
Whom Lourens J. Waldorp trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Denny Borsboom
- Sacha Epskamp
- Robert Tibshirani
- Nicolai Meinshausen
- B. Pfaff
- Michael I. Jordan
- Bradley Efron
- Trevor J. Hastie
- A. Cramer
- Eric R. Ziegel
Who trusts Lourens J. Waldorp overall
- Sacha Epskamp
- Denny Borsboom
- Eiko I. Fried
- Richard J. McNally
- D. Hevey
- Hudson F. Golino
- A. Cramer
- Alexander P. Christensen
- Jonas M. B. Haslbeck
- Ali Shojaie
Papers from Lourens J. Waldorp's perspective
Ordered by how strongly the researchers Lourens J. Waldorp trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Estimating the Dimension of a Model
- The Elements of Statistical Learning
- High-dimensional graphs and variable selection with the Lasso
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
Their papers
- UvA-DARE ( Digital Academic Repository ) Simpson ' s paradox in psychological science : a practical guide (2017)
- mgm: Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data (2015) — 770 citations
- Comparing network structures on three aspects: A permutation test. (2022) — 1,347 citations
- Network analysis of multivariate data in psychological science (2021) — 1,105 citations
- The Gaussian Graphical Model in Cross-Sectional and Time-Series Data (2016) — 897 citations
- How well do network models predict observations? On the importance of predictability in network models (2016) — 532 citations
- State of the aRt personality research: A tutorial on network analysis of personality data in R (2015) — 890 citations
- Association of Symptom Network Structure With the Course of [corrected] Depression. (2015) — 650 citations
- A new method for constructing networks from binary data (2014) — 674 citations
- Hidden Multiplicity in Multiway ANOVA: Prevalence, Consequences, and Remedies (2014) — 88 citations
- Fast and accurate modelling of longitudinal and repeated measures neuroimaging data (2014)
- Deconstructing the construct: A network perspective on psychological phenomena (2013) — 678 citations
- Qgraph: Network visualizations of relationships in psychometric data (2012) — 4,464 citations
- Complex realities require complex theories: Refining and extending the network approach to mental disorders (2010) — 137 citations
- Comorbidity: A network perspective (2010) — 1,321 citations
- Basic skills in a complex task: A graphical model relating memory and lexical retrieval to simultaneous interpreting (2003) — 92 citations