Ulrich Stadtmüller
- Statistics and Probability top 0.2%
- Finance top 1%
- Management Science and Operations Research top 1%
- Artificial Intelligence top 5%
- Applied Mathematics top 2%
- Co-authors
- Hans‐Georg MüllerRafael SchmidtLaurens de HaanWerner KratzClaudia KlüppelbergAllan GutM. PawlakWolfgang Gawronski
- Topics
- Probability and Risk Models (27 papers)Approximation Theory and Sequence Spaces (21 papers)Statistical Methods and Inference (18 papers)
In The Last Decade
Ulrich Stadtmüller
106 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 144
- Statistics and Probability 1.3k
- Finance 726
- Management Science and Operations Research 497
- Artificial Intelligence 325
- Applied Mathematics 313
Countries citing papers authored by Ulrich Stadtmüller
This map shows the geographic impact of Ulrich Stadtmüller'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 Ulrich Stadtmüller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich Stadtmüller more than expected).
Fields of papers citing papers by Ulrich Stadtmüller
This network shows the impact of papers produced by Ulrich Stadtmüller. 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 Ulrich Stadtmüller. The network helps show where Ulrich Stadtmüller may publish in the future.
Co-authorship network of co-authors of Ulrich Stadtmüller
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Stadtmüller. A scholar is included among the top collaborators of Ulrich Stadtmüller 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 Ulrich Stadtmüller. Ulrich Stadtmüller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 133 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | Strong laws for delayed sums of random fields | 6 |
| 6 | Strong summability in certain families of summability methods | 2 |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 39 | |
| 11 | Erdos-Renyi-Shepp laws for dependent random variables | 1 |
| 12 | 16 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 46 | |
| 16 | 4 | |
| 17 | 18 | |
| 18 | 26 | |
| 19 | A REFINED TAUBERIAN THEOREM FOR LAPLACE TRANSFORMS IN DIMENSION D GREATER-THAN 1 | 3 |
| 20 | TAUBERIAN-THEOREMS FOR LAPLACE TRANSFORMS IN DIMENSION D GREATER THAN 1 | 15 |
About Ulrich Stadtmüller
Ulrich Stadtmüller is a scholar working on Statistics and Probability, Applied Mathematics and Mathematical Physics, having authored 109 papers that have together received 2.5k indexed citations. Recurring topics across this work include Probability and Risk Models (27 papers), Approximation Theory and Sequence Spaces (21 papers) and Statistical Methods and Inference (18 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Finance (726 citations) and Management Science and Operations Research (497 citations). Ulrich Stadtmüller has collaborated with scholars based in Germany, Sweden and Canada. Frequent co-authors include Hans‐Georg Müller, Hans‐Georg Müller, Rafael Schmidt, Laurens de Haan, Werner Kratz, Claudia Klüppelberg, Allan Gut, M. Pawlak, Wolfgang Gawronski and Rüdiger Kiesel. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory and Kidney International.
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.