Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Generalized reduced rank tests using the singular value decomposition
20051.8k citationsFrank Kleibergen, Richard PaapJournal of Econometricsprofile →
Generalized Reduced Rank Tests Using the Singular Value Decomposition
2003305 citationsFrank Kleibergen, Richard PaapSSRN Electronic Journalprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Richard Paap's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Richard Paap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Paap more than expected).
This network shows the impact of papers produced by Richard Paap. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Richard Paap. The network helps show where Richard Paap may publish in the future.
Co-authorship network of co-authors of Richard Paap
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Paap.
A scholar is included among the top collaborators of Richard Paap based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Richard Paap. Richard Paap is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dijk, Bram van, Joost van Rosmalen, & Richard Paap. (2009). A Bayesian Approach to Two-Mode Clustering ⁄. RePEc: Research Papers in Economics. 1–26.2 indexed citations
5.
Franses, Philip Hans, Marco van der Leij, & Richard Paap. (2008). A Simple Test for GARCH Against a Stochastic Volatility Model. SSRN Electronic Journal.2 indexed citations
6.
Paap, Richard, et al.. (2005). Retrieving unobserved consideration sets from household panel data. RePEc: Research Papers in Economics.5 indexed citations
7.
Franses, Philip Hans & Richard Paap. (2005). Random-Coefficient periodic autoregression. RePub (Erasmus University, Rotterdam).1 indexed citations
8.
Fok, Dennis, Philip Hans Franses, & Richard Paap. (2005). Performance of Seasonal Adjustment Procedures: Simulation and Empirical Results. RePub (Erasmus University, Rotterdam).10 indexed citations
9.
Paap, Richard, et al.. (2004). Analyzing the effects of past prices on reference price formation. RePEc: Research Papers in Economics.1 indexed citations
10.
Fok, Dennis, Csilla Horváth, Richard Paap, & Philip Hans Franses. (2004). A hierarchical Bayes error correction model to explain dynamic effects. RePub (Erasmus University, Rotterdam).1 indexed citations
11.
Paap, Richard, Philip Hans Franses, & Dick van Dijk. (2003). Does Africa grow slower than Asia and Latin America. RePub (Erasmus University, Rotterdam).
12.
Fok, Dennis, Richard Paap, & Philip Hans Franses. (2003). Modeling Dynamic Effects of the Marketing Mix on Market Shares. RePub (Erasmus University, Rotterdam).4 indexed citations
13.
Franses, Philip Hans, Marco van der Leij, & Richard Paap. (2001). Modeling and forecasting outliers and level shifts in absolute returns. Data Archiving and Networked Services (DANS).1 indexed citations
14.
Fok, Dennis, Philip Hans Franses, & Richard Paap. (2001). INCORPORATING RESPONSIVENESS TO MARKETING EFFORTS WHEN MODELING BRAND CHOICE. RePub (Erasmus University, Rotterdam).1 indexed citations
15.
Dijk, Dick van, Philip Hans Franses, & Richard Paap. (2000). A nonlinear long memory model for US unemployment. RePEc: Research Papers in Economics.4 indexed citations
16.
Jonker, Jedid‐Jah, Richard Paap, & Philip Hans Franses. (2000). Modeling charity donations: target selection, response time and gift size. Data Archiving and Networked Services (DANS).2 indexed citations
17.
Kleibergen, Frank, et al.. (2000). The Bayesian Score Statistic. Data Archiving and Networked Services (DANS).1 indexed citations
18.
Kleibergen, Frank & Richard Paap. (1996). Priors, Posterior Odds and Lagrange Multiplier Statistics in Bayesian Analyses of Cointegration. RePub (Erasmus University Rotterdam).2 indexed citations
19.
Franses, Philip Hans & Richard Paap. (1996). Does Seasonal Adjustment Change Inference from MARKOV Switching Models. SSRN Electronic Journal.1 indexed citations
20.
Paap, Richard, et al.. (1996). Mean Shifts, Unit Roots and Forecasting Seasonal Time Series. EUR Research Repository (Erasmus University Rotterdam).1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.