Jakob Stöber

438 total citations
11 papers, 301 citations indexed

About

Jakob Stöber is a scholar working on Finance, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Jakob Stöber has authored 11 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Finance, 3 papers in Artificial Intelligence and 3 papers in Economics and Econometrics. Recurrent topics in Jakob Stöber's work include Financial Risk and Volatility Modeling (8 papers), Market Dynamics and Volatility (3 papers) and Bayesian Methods and Mixture Models (2 papers). Jakob Stöber is often cited by papers focused on Financial Risk and Volatility Modeling (8 papers), Market Dynamics and Volatility (3 papers) and Bayesian Methods and Mixture Models (2 papers). Jakob Stöber collaborates with scholars based in Germany, Canada and United States. Jakob Stöber's co-authors include Claudia Czado, Harry Joe, Ulf Schepsmeier, Hyokyoung G. Hong, Pulak Ghosh, Anastasios Panagiotelis, Bret S.E. Heale, Siddhartha Jonnalagadda, Thomas Wollmann and Hee‐Jun Kim and has published in prestigious journals such as Computational Statistics & Data Analysis, Journal of Multivariate Analysis and Statistical Papers.

In The Last Decade

Jakob Stöber

11 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jakob Stöber Germany	7	155	111	106	55	52	11	301
Alessio Sancetta United Kingdom	10	224 1.4×	124 1.1×	119 1.1×	73 1.3×	50 1.0×	31	373
Pavel Krupskii Canada	9	179 1.2×	133 1.2×	120 1.1×	48 0.9×	58 1.1×	17	328
Flávio Augusto Ziegelmann Brazil	10	176 1.1×	71 0.6×	218 2.1×	83 1.5×	22 0.4×	29	354
Carsten Jentsch Germany	11	137 0.9×	150 1.4×	220 2.1×	140 2.5×	54 1.0×	48	458
Anna Clara Monti Italy	9	139 0.9×	254 2.3×	86 0.8×	23 0.4×	49 0.9×	29	359
Paramsothy Silvapulle Australia	9	210 1.4×	198 1.8×	135 1.3×	81 1.5×	63 1.2×	19	457
Hideatsu Tsukahara Japan	6	197 1.3×	159 1.4×	45 0.4×	30 0.5×	45 0.9×	10	300
Oliver Linton United Kingdom	4	130 0.8×	258 2.3×	113 1.1×	74 1.3×	61 1.2×	4	391
Miguel de Carvalho United Kingdom	11	86 0.6×	122 1.1×	68 0.6×	32 0.6×	86 1.7×	43	349
Zifeng Zhao United States	9	74 0.5×	69 0.6×	79 0.7×	19 0.3×	38 0.7×	30	258

Countries citing papers authored by Jakob Stöber

Since Specialization

Citations

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

Fields of papers citing papers by Jakob Stöber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakob Stöber

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

All Works

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11 of 11 papers shown

Czado, Claudia, et al.. (2017). Regime Switching Vine Copula Models for Global Equity and Volatility Indices. Econometrics. 5(1). 3–3. 36 indexed citations

Panagiotelis, Anastasios, Claudia Czado, Harry Joe, & Jakob Stöber. (2016). Model selection for discrete regular vine copulas. Computational Statistics & Data Analysis. 106. 138–152. 26 indexed citations

Stöber, Jakob, Bret S.E. Heale, Guilherme Del Fiol, et al.. (2015). Concept based Information Retrieval for Clinical Case Summaries.. Text REtrieval Conference. 1 indexed citations

Stöber, Jakob, Hyokyoung G. Hong, Claudia Czado, & Pulak Ghosh. (2015). Comorbidity of chronic diseases in the elderly: Patterns identified by a copula design for mixed responses. Computational Statistics & Data Analysis. 88. 28–39. 32 indexed citations

Wollmann, Thomas, et al.. (2014). Erfolgreiches Lernen durch gamifiziertes E-Learning. GI-Jahrestagung. 2353–2364. 1 indexed citations

Stöber, Jakob, Harry Joe, & Claudia Czado. (2013). Simplified pair copula constructions—Limitations and extensions. Journal of Multivariate Analysis. 119. 101–118. 104 indexed citations

Stöber, Jakob & Claudia Czado. (2013). Regime switches in the dependence structure of multidimensional financial data. Computational Statistics & Data Analysis. 76. 672–686. 34 indexed citations

Stöber, Jakob & Ulf Schepsmeier. (2013). Estimating standard errors in regular vine copula models. Computational Statistics. 28(6). 2679–2707. 16 indexed citations

Schepsmeier, Ulf & Jakob Stöber. (2013). Derivatives and Fisher information of bivariate copulas. Statistical Papers. 55(2). 525–542. 43 indexed citations

10.

Stöber, Jakob. (2013). Regular Vine Copulas with the simplifying assumption, time-variation, and mixed discrete and continuous margins. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 4 indexed citations

11.

Schepsmeier, Ulf & Jakob Stöber. (2012). Web supplement: Derivatives and Fisher information of bivariate copulas. mediaTUM (Technical University of Munich). 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.

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