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.
The Generalized Dynamic-Factor Model: Identification and Estimation
20001.1k citationsMario Forni, Marc Hallin et al.profile →
The Generalized Dynamic Factor Model
2005557 citationsMario Forni, Marc Hallin et al.Journal of the American Statistical Associationprofile →
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 Marc Hallin'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 Marc Hallin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Hallin more than expected).
This network shows the impact of papers produced by Marc Hallin. 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 Marc Hallin. The network helps show where Marc Hallin may publish in the future.
Co-authorship network of co-authors of Marc Hallin
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Hallin.
A scholar is included among the top collaborators of Marc Hallin 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 Marc Hallin. Marc Hallin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Puri, Madan L., et al.. (2018). Linear Serial Rank Tests for Randomness Against Arma Alternatives. IUScholarWorks (Indiana University).9 indexed citations
4.
Barrio, Eustasio del, et al.. (2018). Smooth Cyclically Monotone Interpolation and Empirical Center-Outward Distribution Functions. arXiv (Cornell University).5 indexed citations
Hallin, Marc. (2009). Discussion of "Invariant coordinate selection", by D.E. Tyler, F. Critchley, L. Dümbgen, and H. Oja.. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 71. 583–584.1 indexed citations
Hallin, Marc. (1994). Séquences généralisées : un outil pour l'analyse des séries hétéroscédastiques ?. French digital mathematics library (Numdam).
17.
Hallin, Marc. (1994). Asymptotic influence of initial values on parametric and rank-based measures of residual autocorrelation: proceedings of the colloque de mathématiques appliquées, April 1993, Oujda. ULB Institutional Repository. 2. 100–109.1 indexed citations
Hallin, Marc & Jean‐Marie Dufour. (1987). Tests non paramétriques optimaux pour une autorégression d'ordre un. ULB Institutional Repository. 411–434.1 indexed citations
20.
Hallin, Marc, et al.. (1982). The model-building problem for nonstationary multivariate autoregressive processes. ULB Institutional Repository. 599–607.4 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.