P. De Boeck

Statistics and Probability · 2000–2015

A researcher in the Science corpus: 21 papers; trusts 50 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 45 citations into it; #5,529 of 12,932 by trust here, #3,513 by citations
• Management Science and Operations Research — 35 citations into it; #3,297 of 11,946 by trust here, #1,243 by citations
• Experimental and Cognitive Psychology — 25 citations into it; #1,943 of 9,731 by trust here, #3,751 by citations
• Computer Networks and Communications — 20 citations into it; #4,832 of 9,886 by trust here, #1,790 by citations
• Applied Psychology — 16 citations into it
• Social Psychology — 14 citations into it; #4,182 of 15,694 by trust here, #3,984 by citations
• Cognitive Neuroscience — 13 citations into it; #7,918 of 10,852 by trust here, #4,925 by citations
• Clinical Psychology — 12 citations into it; #5,326 of 8,024 by trust here, #2,484 by citations

Whom P. De Boeck trusts overall

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

1. Hadley Wickham
2. L. V. D. Ark
3. Akihito Kamata
4. Hirotugu Akaike
5. Harold C. Doran
6. Rianne Janssen
7. I. Partchev
8. Eleanor Rosch
9. Dimitrios Rizopoulos
10. Thomas W. Yee

Who trusts P. De Boeck overall

1. Patrick C. Kyllonen
2. Peter Kuppens
3. Dries Debeer
4. Paul-Christian Burkner
5. Veerle Germeijs
6. W. Van den Noortgate
7. Carolyn J. Anderson
8. Emmanuelle Vignoli
9. I. Partchev
10. Jiyun Zu

Papers from P. De Boeck's perspective

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

1. Estimating the Dimension of a Model
2. ltm: An R Package for Latent Variable Modeling and Item Response Theory Analyses
3. Sampling-Based Approaches to Calculating Marginal Densities
4. Inference from Iterative Simulation Using Multiple Sequences
5. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
6. A new look at the statistical model identification
7. Item Analysis by the Hierarchical Generalized Linear Model.
8. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
9. Multilevel Statistical Models
10. Generalized, Linear, and Mixed Models (Technometrics)

Their papers

• Career indecision: Three factors from decision theory (2003) — 147 citations
• Individual differences in patterns of appraisal and anger experience (2007) — 212 citations
• Untying the Gordian Knot of Guilt and Shame (2006) — 94 citations
• A Hierarchical IRT Model for Criterion-Referenced Measurement (2000) — 141 citations
• The test of self‐conscious affect: internal structure, differential scales and relationships with long‐term affects (2001) — 182 citations
• A measurement scale for indecisiveness and its relationship to career indecision and other types of indecision (2002) — 222 citations
• The estimation of item response models with the lmer function from the lme4 package in R (2011) — 329 citations
• Cross-Classification Multilevel Logistic Models in Psychometrics (2003) — 148 citations
• Detection of Differential Item Functioning Using the Lasso Approach (2015) — 75 citations
• IRTrees: Tree-Based Item Response Models of the GLMM Family (2012) — 221 citations
• Can fast and slow intelligence be differentiated (2012) — 88 citations
• Copula Functions for Residual Dependency (2007) — 64 citations
• IRT Models for Ability-Based Guessing (2006) — 111 citations
• From BIS/BAS to the big five (2006) — 290 citations
• Assessing and Explaining Differential Item Functioning Using Logistic Mixed Models (2005) — 92 citations
• Two interpretations of the discrimination parameter (2005) — 95 citations
• Explanatory Item Response Models (2004) — 319 citations
• Descriptive and explanatory item response models (2004) — 118 citations
• Explanatory item response models : a generalized linear and nonlinear approach (2004) — 362 citations
• The Random Weights Linear Logistic Test Model (2002) — 99 citations