Volker Krätschmer
- Management Science and Operations Research top 1%
- Statistics and Probability top 1%
- Finance top 5%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Co-authors
- Henryk ZähleAlexander SchiedDenis BelomestnyWolfgang Karl HärdleJohn SchoenmakersRüdiger SchultzMitja StadjeRoger J. A. Laeven
- Topics
- Stochastic processes and financial applications (14 papers)Risk and Portfolio Optimization (14 papers)Multi-Criteria Decision Making (13 papers)
- Journals
- Fuzzy Sets and SystemsMathematical ProgrammingIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- Partner nations
- GermanyRussiaUnited States
In The Last Decade
Volker Krätschmer
31 papers receiving 488 citations
Peers
Comparison fields: 5 of 50
- Management Science and Operations Research 403
- Statistics and Probability 270
- Finance 144
- Artificial Intelligence 97
- Economics and Econometrics 90
Countries citing papers authored by Volker Krätschmer
This map shows the geographic impact of Volker Krätschmer'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 Volker Krätschmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Volker Krätschmer more than expected).
Fields of papers citing papers by Volker Krätschmer
This network shows the impact of papers produced by Volker Krätschmer. 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 Volker Krätschmer. The network helps show where Volker Krätschmer may publish in the future.
Co-authorship network of co-authors of Volker Krätschmer
This figure shows the co-authorship network connecting the top 25 collaborators of Volker Krätschmer. A scholar is included among the top collaborators of Volker Krätschmer 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 Volker Krätschmer. Volker Krätschmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 42 | |
| 8 | 18 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 11 | |
| 14 | Sampling inspections by attributes which are based on soft quality Standards. | 1 |
| 15 | 16 | |
| 16 | 13 | |
| 17 | 3 | |
| 18 | 12 | |
| 19 | 23 | |
| 20 | 6 |
About Volker Krätschmer
Volker Krätschmer is a scholar working on Management Science and Operations Research, Statistics and Probability and Finance, having authored 32 papers that have together received 512 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (14 papers), Risk and Portfolio Optimization (14 papers) and Multi-Criteria Decision Making (13 papers). The work is most often cited by research in Statistics and Probability (270 citations), Management Science and Operations Research (403 citations) and Finance (144 citations). Volker Krätschmer has collaborated with scholars based in Germany, Russia and United States. Frequent co-authors include Henryk Zähle, Alexander Schied, Denis Belomestny, Wolfgang Karl Härdle, John Schoenmakers, Rüdiger Schultz, Mitja Stadje, Roger J. A. Laeven, Vincent Guigues and Alexander Shapiro. Their work appears in journals such as Fuzzy Sets and Systems, Mathematical Programming and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).
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.