Wolfgang Wertz
- Statistics and Probability top 2%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Statistics, Probability and Uncertainty top 10%
- Finance
- Co-authors
- Georg Ch. PflugWilfried GrossmannKeh‐Shin LiiD. M. TitteringtonMadan L. PuriEric R. ZiegelI. VinczeJacek Koronacki
- Topics
- Statistical Methods and Inference (4 papers)Bayesian Methods and Mixture Models (4 papers)Financial Risk and Volatility Modeling (1 paper)
- Partner nations
- AustriaUnited KingdomPoland
In The Last Decade
Wolfgang Wertz
17 papers receiving 238 citations
Peers
Comparison fields: 5 of 83
- Statistics and Probability 139
- Artificial Intelligence 55
- Management Science and Operations Research 40
- Statistics, Probability and Uncertainty 34
- Finance 33
Countries citing papers authored by Wolfgang Wertz
This map shows the geographic impact of Wolfgang Wertz'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 Wolfgang Wertz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolfgang Wertz more than expected).
Fields of papers citing papers by Wolfgang Wertz
This network shows the impact of papers produced by Wolfgang Wertz. 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 Wolfgang Wertz. The network helps show where Wolfgang Wertz may publish in the future.
Co-authorship network of co-authors of Wolfgang Wertz
This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Wertz. A scholar is included among the top collaborators of Wolfgang Wertz 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 Wolfgang Wertz. Wolfgang Wertz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | Density estimation for statistics and data analysis - B. W. Silverman. | 10 |
| 5 | 48 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | Probability and statistical decision theory | 20 |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 64 | |
| 14 | 37 | |
| 15 | 1 | |
| 16 | 28 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 1 |
About Wolfgang Wertz
Wolfgang Wertz is a scholar working on Statistics and Probability, Artificial Intelligence and Finance, having authored 19 papers that have together received 265 indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Bayesian Methods and Mixture Models (4 papers) and Financial Risk and Volatility Modeling (1 paper). The work is most often cited by research in Statistics and Probability (139 citations), Statistics, Probability and Uncertainty (34 citations) and Finance (33 citations). Wolfgang Wertz has collaborated with scholars based in Austria, United Kingdom and Poland. Frequent co-authors include Georg Ch. Pflug, Wilfried Grossmann, Keh‐Shin Lii, D. M. Titterington, Madan L. Puri, Eric R. Ziegel, I. Vincze, Jacek Koronacki, Walter Grossman and Bernard W. Silverman. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrics.
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.