Jakob Stöber
- Finance top 5%
- Statistics and Probability top 5%
- Economics and Econometrics top 10%
- General Economics, Econometrics and Finance top 10%
- Artificial Intelligence
- Co-authors
- Claudia CzadoHarry JoeUlf SchepsmeierHyokyoung G. HongPulak GhoshAnastasios PanagiotelisBret S.E. HealeHee‐Jun Kim
- Topics
- Financial Risk and Volatility Modeling (8 papers)Market Dynamics and Volatility (3 papers)Bayesian Methods and Mixture Models (2 papers)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Jakob Stöber
11 papers receiving 292 citations
Peers
Comparison fields: 5 of 68
- Finance 155
- Statistics and Probability 111
- Economics and Econometrics 106
- General Economics, Econometrics and Finance 55
- Artificial Intelligence 52
Countries citing papers authored by Jakob Stöber
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 26 | |
| 3 | 32 | |
| 4 | Concept based Information Retrieval for Clinical Case Summaries. | 1 |
| 5 | Erfolgreiches Lernen durch gamifiziertes E-Learning | 1 |
| 6 | 104 | |
| 7 | 34 | |
| 8 | 16 | |
| 9 | 43 | |
| 10 | Regular Vine Copulas with the simplifying assumption, time-variation, and mixed discrete and continuous margins | 4 |
| 11 | Web supplement: Derivatives and Fisher information of bivariate copulas | 4 |
About Jakob Stöber
Jakob Stöber is a scholar working on Finance, Statistics and Probability and General Economics, Econometrics and Finance, having authored 11 papers that have together received 301 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (8 papers), Market Dynamics and Volatility (3 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Finance (155 citations), Statistics and Probability (111 citations) and General Economics, Econometrics and Finance (55 citations). Jakob Stöber has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Claudia Czado, Harry Joe, Ulf Schepsmeier, Hyokyoung G. Hong, Pulak Ghosh, Anastasios Panagiotelis, Bret S.E. Heale, Hee‐Jun Kim, Kalpana Raja and Thomas Wollmann. Their work appears in journals such as Computational Statistics & Data Analysis, Journal of Multivariate Analysis and Statistical Papers.
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.