Bård Støve

731 total citations
22 papers, 389 citations indexed

About

Bård Støve is a scholar working on Statistics and Probability, Finance and Economics and Econometrics. According to data from OpenAlex, Bård Støve has authored 22 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 8 papers in Finance and 8 papers in Economics and Econometrics. Recurrent topics in Bård Støve's work include Financial Risk and Volatility Modeling (7 papers), Complex Systems and Time Series Analysis (6 papers) and Statistical Methods and Inference (4 papers). Bård Støve is often cited by papers focused on Financial Risk and Volatility Modeling (7 papers), Complex Systems and Time Series Analysis (6 papers) and Statistical Methods and Inference (4 papers). Bård Støve collaborates with scholars based in Norway, Germany and Italy. Bård Støve's co-authors include Dag Tjøstheim, Thomas Røraas, Sverre Sandberg, Per Hyltoft Petersen, Karl Ove Hufthammer, Enno Mammen, Konstantinos Fokianos, Paul Doukhan, Bo Henry Lindqvist and Helge Langseth and has published in prestigious journals such as Journal of Climate, Clinical Chemistry and Clinica Chimica Acta.

In The Last Decade

Bård Støve

20 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bård Støve Norway 11 121 102 89 75 56 22 389
Nhu D. Le Canada 11 153 1.3× 33 0.3× 67 0.8× 98 1.3× 28 0.5× 15 522
Barry R. James Brazil 8 303 2.5× 46 0.5× 62 0.7× 37 0.5× 158 2.8× 11 592
Filippo Domma Italy 16 317 2.6× 77 0.8× 98 1.1× 47 0.6× 210 3.8× 40 602
Min Tsao Canada 15 264 2.2× 37 0.4× 60 0.7× 12 0.2× 26 0.5× 42 671
Qin Shao United States 10 101 0.8× 72 0.7× 130 1.5× 8 0.1× 15 0.3× 33 298
Chunfu Qiu United States 9 108 0.9× 22 0.2× 26 0.3× 35 0.5× 23 0.4× 18 458
Ganggang Xu United States 10 82 0.7× 46 0.5× 14 0.2× 13 0.2× 17 0.3× 38 306
Yusra Tashkandy Saudi Arabia 12 283 2.3× 51 0.5× 35 0.4× 10 0.1× 165 2.9× 93 436
Limin Peng United States 15 659 5.4× 65 0.6× 35 0.4× 14 0.2× 54 1.0× 59 857
Jiří Anděl Czechia 11 164 1.4× 117 1.1× 166 1.9× 4 0.1× 48 0.9× 65 482

Countries citing papers authored by Bård Støve

Since Specialization
Citations

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

Fields of papers citing papers by Bård Støve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bård Støve. 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 Bård Støve. The network helps show where Bård Støve may publish in the future.

Co-authorship network of co-authors of Bård Støve

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

All Works

20 of 20 papers shown
1.
Sandberg, Sverre, Thomas Keller, Jeffrey R. Budd, et al.. (2025). Quantification of Difference in Nonselectivity Between In Vitro Diagnostic Medical Devices. Biometrical Journal. 67(1). e70032–e70032. 1 indexed citations
2.
Bulla, Jan, et al.. (2024). Testing for time‐varying nonlinear dependence structures: Regime‐switching and local Gaussian correlation. Scandinavian Journal of Statistics. 51(3). 1012–1060.
3.
Tjøstheim, Dag, et al.. (2022). Statistical Dependence: Beyond Pearson’s ρ. Statistical Science. 37(1). 13 indexed citations
4.
Bulla, Jan, et al.. (2022). Modelling Clusters of Corporate Defaults: Regime-Switching Models Significantly Reduce the Contagion Source. Journal of the Royal Statistical Society Series C (Applied Statistics). 71(3). 698–722. 5 indexed citations
5.
Ljungqvist, Fredrik Charpentier, Peter Thejll, Jesper Björklund, et al.. (2019). Assessing non-linearity in European temperature-sensitive tree-ring data. Dendrochronologia. 59. 125652–125652. 33 indexed citations
6.
Fokianos, Konstantinos, Bård Støve, Dag Tjøstheim, & Paul Doukhan. (2019). Multivariate count autoregression. Bernoulli. 26(1). 44 indexed citations
7.
Røraas, Thomas, Sverre Sandberg, Aasne K. Aarsand, & Bård Støve. (2019). A Bayesian Approach to Biological Variation Analysis. Clinical Chemistry. 65(8). 995–1005. 17 indexed citations
8.
Røraas, Thomas, Bård Støve, Per Hyltoft Petersen, & Sverre Sandberg. (2017). Biological variation: Evaluation of methods for constructing confidence intervals for estimates of within-person biological variation for different distributions of the within-person effect. Clinica Chimica Acta. 468. 166–173. 10 indexed citations
9.
Røraas, Thomas, Bård Støve, Per Hyltoft Petersen, & Sverre Sandberg. (2016). Biological Variation: The Effect of Different Distributions on Estimated Within-Person Variation and Reference Change Values. Clinical Chemistry. 62(5). 725–736. 103 indexed citations
10.
Støve, Bård, et al.. (2015). The Norwegian disability pension system: actuarial challenges arising from new regulations.
11.
Støve, Bård, et al.. (2014). Recognizing and visualizing copulas: An approach using local Gaussian approximation. Insurance Mathematics and Economics. 57. 90–103. 12 indexed citations
12.
Støve, Bård, Dag Tjøstheim, & Karl Ove Hufthammer. (2013). Using local Gaussian correlation in a nonlinear re-examination of financial contagion. Journal of Empirical Finance. 25. 62–82. 47 indexed citations
13.
Støve, Bård & Dag Tjøstheim. (2013). Measuring asymmetries in financial returns : an empirical investigation using local gaussian correlation. 3 indexed citations
14.
Støve, Bård, Fredrik Charpentier Ljungqvist, & Peter Thejll. (2012). A Test for Nonlinearity in Temperature Proxy Records. Journal of Climate. 25(20). 7173–7186. 5 indexed citations
15.
Støve, Bård & Dag Tjøstheim. (2012). A Convolution Estimator for the Density of Nonlinear Regression Observations. Scandinavian Journal of Statistics. 39(2). 282–304. 4 indexed citations
16.
Støve, Bård, Dag Tjøstheim, & Karl Ove Hufthammer. (2010). Measuring Financial Contagion by Local Gaussian Correlation. SSRN Electronic Journal. 1 indexed citations
17.
Mammen, Enno, Bård Støve, & Dag Tjøstheim. (2009). NONPARAMETRIC ADDITIVE MODELS FOR PANELS OF TIME SERIES. Econometric Theory. 25(2). 442–481. 44 indexed citations
18.
Støve, Bård, Karl Ove Hufthammer, & Dag Tjøstheim. (2009). Measuring Asymmetries in Financial Returns: A New Approach Using Local Gaussian Correlation. SSRN Electronic Journal. 2 indexed citations
19.
Støve, Bård & Dag Tjøstheim. (2007). A Convolution Estimator for the Density of Nonlinear Regression Observations. SSRN Electronic Journal. 5 indexed citations
20.
Lindqvist, Bo Henry, Bård Støve, & Helge Langseth. (2005). Modelling of dependence between critical failure and preventive maintenance: The repair alert model. Journal of Statistical Planning and Inference. 136(5). 1701–1717. 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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