R. Schaßberger
- Management Information Systems top 0.5%
- Management Science and Operations Research top 1%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 5%
- Statistics and Probability top 2%
- Co-authors
- Hans DadunaArie HordijkErol GelenbeDonald L. IglehartA. D. BarbourА. А. БоровковGünter LastMasakiyo Miyazawa
- Topics
- Advanced Queuing Theory Analysis (42 papers)Probability and Risk Models (16 papers)Simulation Techniques and Applications (14 papers)
- Cited by
- Management Information SystemsManagement Science and Operations ResearchStatistics and Probability
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
R. Schaßberger
55 papers receiving 946 citations
Peers
Comparison fields: 5 of 50
- Management Information Systems 885
- Management Science and Operations Research 467
- Computer Networks and Communications 308
- Computational Theory and Mathematics 191
- Statistics and Probability 163
Countries citing papers authored by R. Schaßberger
This map shows the geographic impact of R. Schaßberger'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 R. Schaßberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Schaßberger more than expected).
Fields of papers citing papers by R. Schaßberger
This network shows the impact of papers produced by R. Schaßberger. 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 R. Schaßberger. The network helps show where R. Schaßberger may publish in the future.
Co-authorship network of co-authors of R. Schaßberger
This figure shows the co-authorship network connecting the top 25 collaborators of R. Schaßberger. A scholar is included among the top collaborators of R. Schaßberger 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 R. Schaßberger. R. Schaßberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 26 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 21 | |
| 9 | 7 | |
| 10 | An Aggregation Principle for Computing Invariant Probability Vectors for Semi-Markovian Models | 3 |
| 11 | 36 | |
| 12 | 9 | |
| 13 | 17 | |
| 14 | 12 | |
| 15 | 20 | |
| 16 | 15 | |
| 17 | 0 | |
| 18 | 100 | |
| 19 | 5 | |
| 20 | 10 |
About R. Schaßberger
R. Schaßberger is a scholar working on Management Information Systems, Management Science and Operations Research and Statistics and Probability, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (42 papers), Probability and Risk Models (16 papers) and Simulation Techniques and Applications (14 papers). The work is most often cited by research in Management Information Systems (885 citations), Management Science and Operations Research (467 citations) and Statistics and Probability (163 citations). R. Schaßberger has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Hans Daduna, Arie Hordijk, Erol Gelenbe, Donald L. Iglehart, A. D. Barbour, А. А. Боровков, Günter Last, Masakiyo Miyazawa, A. E. Krzesinski and Volker Schmidt. Their work appears in journals such as Management Science, Journal of the ACM and The Annals of Probability.
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.