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.
SMOOTH TRANSITION AUTOREGRESSIVE MODELS — A SURVEY OF RECENT DEVELOPMENTS
2002746 citationsDick van Dijk, Timo Teräsvirta et al.Econometric Reviewsprofile →
Nonlinear Time Series Models in Empirical Finance
2000672 citationsPhilip Hans Franses, Dick van Dijkprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Dick van Dijk'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 Dick van Dijk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dick van Dijk more than expected).
This network shows the impact of papers produced by Dick van Dijk. 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 Dick van Dijk. The network helps show where Dick van Dijk may publish in the future.
Co-authorship network of co-authors of Dick van Dijk
This figure shows the co-authorship network connecting the top 25 collaborators of Dick van Dijk.
A scholar is included among the top collaborators of Dick van Dijk 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 Dick van Dijk. Dick van Dijk is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Petrelli, Daniela, Mark T. Marshall, Elena Not, et al.. (2016). meSch: Internet of Things and Cultural Heritage. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 6(1). 15–22.10 indexed citations
Opschoor, Anne, Dick van Dijk, & Michel van der Wel. (2014). Improving Density Forecasts and Value-at-
\nRisk Estimates by Combining Densities. Data Archiving and Networked Services (DANS).3 indexed citations
6.
Martens, Martin, et al.. (2012). Realized mixed-frequency factor models for vast dimensional covariance estimation. Data Archiving and Networked Services (DANS).11 indexed citations
Dijk, Dick van, et al.. (2007). A Recommitment Strategy for Long Term Private Equity Fund Investors. ERIM report series research in management.2 indexed citations
9.
Heij, Christiaan, Patrick J. F. Groenen, & Dick van Dijk. (2006). Time series forecasting by principal covariate regression. RePEc: Research Papers in Economics.5 indexed citations
10.
Heij, Christiaan, Dick van Dijk, & Patrick J. F. Groenen. (2006). Improved Construction of diffusion indexes for macroeconomic forecasting. RePub (Erasmus University Rotterdam).1 indexed citations
11.
Fidrmuc, Jana P., Peter Roosenboom, & Dick van Dijk. (2006). Do private equity investors take firms private for different reasons. SSRN Electronic Journal.3 indexed citations
12.
Pooter, Michiel De & Dick van Dijk. (2004). Testing for changes in volatility in heteroskedastic time series - a further examination. RePEc: Research Papers in Economics.15 indexed citations
13.
Teräsvirta, Timo, et al.. (2003). The Effects of Institutional and Technological Change and Business Cycle Fluctuations on Seasonal Patterns in Quarterly Industrial Production Series. SSRN Electronic Journal.7 indexed citations
14.
Dijk, Dick van, Timo Teräsvirta, & Philip Hans Franses. (2002). SMOOTH TRANSITION AUTOREGRESSIVE MODELS — A SURVEY OF RECENT DEVELOPMENTS. Econometric Reviews. 21(1). 1–47.746 indexed citations breakdown →
15.
Franses, Philip Hans, et al.. (2000). Seasonal smooth transition autoregression. RePub (Erasmus University, Rotterdam).6 indexed citations
16.
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
17.
Dijk, Dick van, et al.. (1998). Does the absence of cointegration explain the typical findings in long horizon regressions. RePub (Erasmus University Rotterdam).31 indexed citations
18.
Escribano, Álvaro, Philip Hans Franses, & Dick van Dijk. (1998). Nonlinearities and outliers: robust specification of STAR models. RePub (Erasmus University, Rotterdam).4 indexed citations
19.
Franses, Philip Hans, et al.. (1998). Forecasting volatility with switching persistence GARCH models. Data Archiving and Networked Services (DANS).7 indexed citations
20.
Dijk, Dick van & Philip Hans Franses. (1997). Nonlinear Error-Correction Models for Interest Rates in The Netherlands. EUR Research Repository (Erasmus University Rotterdam).51 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.