Daniel Kühn
About
In The Last Decade
Daniel Kühn
134 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Management Science and Operations Research 2.8k
- Control and Systems Engineering 1.6k
- Electrical and Electronic Engineering 957
- Statistics and Probability 663
- Statistics, Probability and Uncertainty 586
Countries citing papers authored by Daniel Kühn
This map shows the geographic impact of Daniel Kühn'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 Daniel Kühn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kühn more than expected).
Fields of papers citing papers by Daniel Kühn
This network shows the impact of papers produced by Daniel Kühn. 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 Daniel Kühn. The network helps show where Daniel Kühn may publish in the future.
Co-authorship network of co-authors of Daniel Kühn
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kühn. A scholar is included among the top collaborators of Daniel Kühn 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 Daniel Kühn. Daniel Kühn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | Regularization via Mass Transportation | 47 |
| 7 | 15 | |
| 8 | Determinanten von Credit Spreads in Green Bonds in europäischen Emissionsmärkten | 2 |
| 9 | Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations breakdown → | 1010 |
| 10 | Robust Data-Driven Dynamic Programming | 21 |
| 11 | 1 | |
| 12 | BOUND-BASED DECISION RULES IN MULTISTAGE STOCHASTIC PROGRAMMING | 7 |
| 13 | 11 | |
| 14 | 52 | |
| 15 | 35 | |
| 16 | 26 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 34 | |
| 20 | Simple tools to automate documentation | 2 |
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.