Erhard Schwecke
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Computational Theory and Mathematics top 10%
- Signal Processing
- Statistics and Probability top 10%
- Co-authors
- Rudolf KruseJochen HeinsohnFrank Klawonn
- Topics
- Bayesian Modeling and Causal Inference (3 papers)Logic, Reasoning, and Knowledge (3 papers)AI-based Problem Solving and Planning (3 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceStatistics and Probability
- Journals
- International Journal of Approximate ReasoningInternational Journal of Intelligent SystemsInternational Journal of General Systems
- Partner nations
- Germany
In The Last Decade
Erhard Schwecke
6 papers receiving 189 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 156
- Management Science and Operations Research 78
- Computational Theory and Mathematics 40
- Signal Processing 29
- Statistics and Probability 29
Countries citing papers authored by Erhard Schwecke
This map shows the geographic impact of Erhard Schwecke'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 Erhard Schwecke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erhard Schwecke more than expected).
Fields of papers citing papers by Erhard Schwecke
This network shows the impact of papers produced by Erhard Schwecke. 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 Erhard Schwecke. The network helps show where Erhard Schwecke may publish in the future.
Co-authorship network of co-authors of Erhard Schwecke
This figure shows the co-authorship network connecting the top 25 collaborators of Erhard Schwecke. A scholar is included among the top collaborators of Erhard Schwecke 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 Erhard Schwecke. Erhard Schwecke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | On a tool for reasoning with mass distributions | 1 |
| 3 | 113 | |
| 4 | Uncertainty and Vagueness in Knowledge Based Systems: Numerical Methods | 55 |
| 5 | 12 | |
| 6 | 7 |
About Erhard Schwecke
Erhard Schwecke is a scholar working on Management Science and Operations Research, Artificial Intelligence and Signal Processing, having authored 6 papers that have together received 214 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (3 papers), Logic, Reasoning, and Knowledge (3 papers) and AI-based Problem Solving and Planning (3 papers). The work is most often cited by research in Management Science and Operations Research (78 citations), Artificial Intelligence (156 citations) and Statistics and Probability (29 citations). Erhard Schwecke has collaborated with scholars based in Germany. Frequent co-authors include Rudolf Kruse, Jochen Heinsohn and Frank Klawonn. Their work appears in journals such as International Journal of Approximate Reasoning, International Journal of Intelligent Systems and International Journal of General Systems.
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.