Sylvia Frühwirth‐Schnatter

7.6k total citations · 3 hit papers
71 papers, 4.5k citations indexed

About

Sylvia Frühwirth‐Schnatter is a scholar working on Artificial Intelligence, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Sylvia Frühwirth‐Schnatter has authored 71 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 41 papers in Statistics and Probability and 18 papers in Economics and Econometrics. Recurrent topics in Sylvia Frühwirth‐Schnatter's work include Bayesian Methods and Mixture Models (37 papers), Statistical Methods and Bayesian Inference (23 papers) and Statistical Methods and Inference (22 papers). Sylvia Frühwirth‐Schnatter is often cited by papers focused on Bayesian Methods and Mixture Models (37 papers), Statistical Methods and Bayesian Inference (23 papers) and Statistical Methods and Inference (22 papers). Sylvia Frühwirth‐Schnatter collaborates with scholars based in Austria, United States and Germany. Sylvia Frühwirth‐Schnatter's co-authors include Charles R. Nelson, Chang‐Jin Kim, Helga Wagner, Gregor Kastner, Sylvia Kaufmann, Saumyadipta Pyne, R. Frühwirth, Gertraud Malsiner‐Walli, Bettina Grün and Gilles Celeux and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrika.

In The Last Decade

Sylvia Frühwirth‐Schnatter

68 papers receiving 4.2k citations

Hit Papers

3 papers align trajectories

What are hit papers?

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.

Finite Mixture and Markov Switching Models

2006 1.0k citations Sylvia Frühwirth‐Schnatter Springer series in statistics profile →
State-Space Models with Regime-Switching: Classical and Gibbs Sampling Approaches with Applications

2000 759 citations Sylvia Frühwirth‐Schnatter et al. Journal of the American Statistical Association profile →
DATA AUGMENTATION AND DYNAMIC LINEAR MODELS

1994 525 citations Sylvia Frühwirth‐Schnatter profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sylvia Frühwirth‐Schnatter Austria	27	1.6k	1.6k	1.5k	1.1k	1.0k	71	4.5k
Nicholas G. Polson United States	28	1.3k 0.8×	1.6k 1.1×	1.3k 0.9×	2.1k 1.9×	914 0.9×	73	5.7k
Robert Kohn Australia	38	1.8k 1.1×	1.7k 1.1×	2.3k 1.6×	1.3k 1.2×	1.1k 1.1×	218	6.2k
Edward Greenberg United States	21	892 0.5×	1.2k 0.8×	1.3k 0.9×	664 0.6×	612 0.6×	60	4.7k
Keming Yu United Kingdom	33	1.3k 0.8×	1.8k 1.1×	2.2k 1.5×	557 0.5×	373 0.4×	134	5.5k
Joseph P. Romano United States	43	995 0.6×	2.3k 1.5×	3.6k 2.5×	2.3k 2.1×	1.3k 1.3×	125	8.4k
Dimitris N. Politis United States	34	727 0.4×	2.5k 1.6×	2.2k 1.5×	3.0k 2.6×	1.6k 1.6×	153	6.8k
Mark F. J. Steel United Kingdom	35	940 0.6×	3.0k 1.9×	1.7k 1.2×	1.7k 1.5×	1.4k 1.4×	128	6.2k
Jan R. Magnus Netherlands	35	454 0.3×	1.6k 1.0×	1.1k 0.7×	497 0.4×	699 0.7×	161	4.4k
Enno Mammen Germany	37	831 0.5×	1.2k 0.7×	3.1k 2.1×	1.1k 1.0×	672 0.7×	139	5.3k
David Pollard United States	23	1.6k 1.0×	1.0k 0.6×	3.2k 2.2×	904 0.8×	525 0.5×	43	5.8k

Countries citing papers authored by Sylvia Frühwirth‐Schnatter

Since Specialization

Citations

This map shows the geographic impact of Sylvia Frühwirth‐Schnatter'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 Sylvia Frühwirth‐Schnatter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvia Frühwirth‐Schnatter more than expected).

Fields of papers citing papers by Sylvia Frühwirth‐Schnatter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sylvia Frühwirth‐Schnatter. 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 Sylvia Frühwirth‐Schnatter. The network helps show where Sylvia Frühwirth‐Schnatter may publish in the future.

Co-authorship network of co-authors of Sylvia Frühwirth‐Schnatter

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia Frühwirth‐Schnatter. A scholar is included among the top collaborators of Sylvia Frühwirth‐Schnatter 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 Sylvia Frühwirth‐Schnatter. Sylvia Frühwirth‐Schnatter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Frühwirth‐Schnatter, Sylvia, et al.. (2024). Sparse Bayesian Factor Analysis When the Number of Factors Is Unknown (with Discussion). Bayesian Analysis. 20(1). 9 indexed citations

Frühwirth‐Schnatter, Sylvia, et al.. (2023). Bayesian Reconciliation of Return Predictability. Studies in Nonlinear Dynamics and Econometrics. 28(2). 337–378.

Frühwirth‐Schnatter, Sylvia, et al.. (2023). When It Counts—Econometric Identification of the Basic Factor Model Based on GLT Structures. Econometrics. 11(4). 26–26. 5 indexed citations

Frühwirth‐Schnatter, Sylvia, et al.. (2023). Ultimate Pólya Gamma Samplers–Efficient MCMC for Possibly Imbalanced Binary and Categorical Data. Journal of the American Statistical Association. 119(548). 2548–2559. 3 indexed citations

Wagner, Helga, et al.. (2022). Factor-augmented Bayesian treatment effects models for panel outcomes. Econometrics and Statistics. 28. 63–80. 2 indexed citations

Frühwirth‐Schnatter, Sylvia, et al.. (2019). Achieving shrinkage in a time-varying parameter model framework. WU Research. 74 indexed citations

Kaufmann, Sylvia, Sylvia Frühwirth‐Schnatter, & Herman K. van Dijk. (2018). Editorial introduction on complexity and big data in economics and finance: Recent developments from a Bayesian perspective. Journal of Econometrics. 210(1). 1–3. 4 indexed citations

Malsiner‐Walli, Gertraud, Sylvia Frühwirth‐Schnatter, & Bettina Grün. (2016). Identifying Mixtures of Mixtures Using Bayesian Estimation. Journal of Computational and Graphical Statistics. 26(2). 285–295. 34 indexed citations

Frühwirth‐Schnatter, Sylvia & R. Frühwirth. (2016). Bayesian Inference in the Multinomial Logit Model. Austrian Journal of Statistics. 41(1). 5 indexed citations

10.

Frühwirth, R., Korbinian Eckstein, & Sylvia Frühwirth‐Schnatter. (2016). Vertex finding by sparse model-based clustering. Journal of Physics Conference Series. 762. 12055–12055. 1 indexed citations

11.

Conti, Gabriella, et al.. (2014). Bayesian exploratory factor analysis. Journal of Econometrics. 183(1). 31–57. 84 indexed citations

12.

Frühwirth‐Schnatter, Sylvia, Rudolf Winter‐Ebmer, Andrea Weber, et al.. (2010). Model-based Clustering of Categorical Time Series with Multinomial Logit Classification. AIP conference proceedings. 1897–1900. 2 indexed citations

13.

Frühwirth‐Schnatter, Sylvia & Saumyadipta Pyne. (2010). Bayesian inference for finite mixtures of univariate and multivariate skew-normal and skew-t distributions. Biostatistics. 11(2). 317–336. 142 indexed citations

14.

Frühwirth‐Schnatter, Sylvia & Helga Wagner. (2009). Stochastic model specification search for Gaussian and partial non-Gaussian state space models. Journal of Econometrics. 154(1). 85–100. 120 indexed citations

15.

Frühwirth‐Schnatter, Sylvia, R. Frühwirth, Leonhard Held, & Håvard Rue. (2008). Improved auxiliary mixture sampling for hierarchical models of non-Gaussian data. Statistics and Computing. 19(4). 479–492. 53 indexed citations

16.

Frühwirth‐Schnatter, Sylvia & Sylvia Kaufmann. (2007). Model-Based Clustering of Multiple Time Series. Journal of Business and Economic Statistics. 26(1). 78–89. 117 indexed citations

17.

Frühwirth‐Schnatter, Sylvia. (2006). Finite Mixture and Markov Switching Models. Springer series in statistics. 1048 indexed citations breakdown →

18.

Frühwirth‐Schnatter, Sylvia & Sylvia Kaufmann. (2004). Model-Based Clustering of Multiple Time Series. WU Research. 26 indexed citations

19.

Frühwirth‐Schnatter, Sylvia. (2001). Fully Bayesian Analysis of Switching Gaussian State Space Models. Annals of the Institute of Statistical Mathematics. 53(1). 31–49. 29 indexed citations

20.

Whittaker, Joe & Sylvia Frühwirth‐Schnatter. (1994). A Dynamic Changepoint Model for Detecting the Onset of Growth in Bacteriological Infections. Journal of the Royal Statistical Society Series C (Applied Statistics). 43(4). 625–625. 17 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.

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