Kurt Weichselberger
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Statistics, Probability and Uncertainty top 2%
- Computational Theory and Mathematics top 5%
- Co-authors
- Thomas Augustin
- Topics
- Bayesian Modeling and Causal Inference (5 papers)Probability and Statistical Research (2 papers)Rough Sets and Fuzzy Logic (2 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- Germany
In The Last Decade
Kurt Weichselberger
11 papers receiving 327 citations
Peers
Comparison fields: 5 of 62
- Statistics and Probability 175
- Artificial Intelligence 168
- Management Science and Operations Research 145
- Statistics, Probability and Uncertainty 122
- Computational Theory and Mathematics 94
Countries citing papers authored by Kurt Weichselberger
This map shows the geographic impact of Kurt Weichselberger'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 Kurt Weichselberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kurt Weichselberger more than expected).
Fields of papers citing papers by Kurt Weichselberger
This network shows the impact of papers produced by Kurt Weichselberger. 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 Kurt Weichselberger. The network helps show where Kurt Weichselberger may publish in the future.
Co-authorship network of co-authors of Kurt Weichselberger
This figure shows the co-authorship network connecting the top 25 collaborators of Kurt Weichselberger. A scholar is included among the top collaborators of Kurt Weichselberger 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 Kurt Weichselberger. Kurt Weichselberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Logical Concept of Probability: Foundation and Interpretation | 4 |
| 2 | The Logical Concept of Probability and Statistical Inference. | 6 |
| 3 | On the Symbiosis of Two Concepts of Conditional Interval Probability. | 17 |
| 4 | 86 | |
| 5 | 241 | |
| 6 | The Theory of Interval-Probability as a Unifying Concept for Uncertainty. | 4 |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 0 |
About Kurt Weichselberger
Kurt Weichselberger is a scholar working on Statistics and Probability, History and Philosophy of Science and Management Science and Operations Research, having authored 12 papers that have together received 378 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (5 papers), Probability and Statistical Research (2 papers) and Rough Sets and Fuzzy Logic (2 papers). The work is most often cited by research in Statistics and Probability (175 citations), Statistics, Probability and Uncertainty (122 citations) and Management Science and Operations Research (145 citations). Kurt Weichselberger has collaborated with scholars based in Germany. Frequent co-authors include Thomas Augustin. Their work appears in journals such as International Journal of Approximate Reasoning and Metrika.
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.