Daniel Kühn

135 papers receiving 5.4k citations

Daniel Kühn's Hit Papers

Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations 2017 · 1.1k citations
1.1k0+5+10Years since publication2505007501000

Peers

Daniel Kühn
Comparison fields: 5 of 157
  • Management Science and Operations Research 2.8k
  • Statistics, Probability and Uncertainty 602
  • Statistics and Probability 688
  • Control and Systems Engineering 1.6k
  • Management Information Systems 471
Replace David B. Brown with:
David B. Brown United States
Duan Li Hong Kong
Robert C. Fuller Hungary
James R. Wilson United States
Russell R. Barton United States
Dessislava A. Pachamanova United States
Miguel A. Lejeune United States
J.B. Cruz United States
Lean Yu China
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Kühn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Daniel Kühn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Kühn Line = papers co-authored together Daniel Kühn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations
Hit paper breakdown →
20171062
2
Distributionally Robust Convex Optimization
Hit paper breakdown →
2014624
3
Distributionally robust joint chance constraints with second-order moment information
Hit paper breakdown →
2011462
4 2009179
5 2012153
6 2018138
7 2005137
8 2015116
9 2014115
10 2015111
11 2014105
12 2017104
13 2015103
14 2012102
15 202165
16 201065
17 202259
18 200959
19 201558
20 201556

About Daniel Kühn

Daniel Kühn is a scholar working on Management Science and Operations Research, Finance, Control and Systems Engineering, Psychiatry and Mental health and Statistics and Probability, having authored 141 papers that have together received 5.7k indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (56 papers), Dementia and Cognitive Impairment Research (15 papers), Stochastic processes and financial applications (12 papers), Probabilistic and Robust Engineering Design (11 papers), Geriatric Care and Nursing Homes (11 papers), Optimization and Mathematical Programming (11 papers), Supply Chain and Inventory Management (10 papers) and Water resources management and optimization (9 papers). The work is most often cited by research in Management Science and Operations Research (2.8k citations), Statistics, Probability and Uncertainty (602 citations), Statistics and Probability (688 citations), Control and Systems Engineering (1.6k citations) and Management Information Systems (471 citations). Daniel Kühn has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Wolfram Wiesemann, Peyman Mohajerin Esfahani, Berç Rüstem, Grani A. Hanasusanto, Steve Zymler, Melvyn Sim, Angelos Georghiou, Bradley R. Fulton, Perry Edelman and Paul J. Goulart. Their work appears in journals such as Mathematical Programming, Operations Research, Management Science, SIAM Journal on Optimization and IEEE Transactions on Automatic Control.

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.

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