Erick Delage

60 papers receiving 2.6k citations

Erick Delage's Hit Papers

A survey of contextual optimization methods for decision-making under uncertainty 2024 · 49 citations
490+5+10Years since publication4008001.2k

Peers

Erick Delage
Comparison fields: 5 of 113
  • Management Science and Operations Research 1.4k
  • Statistics and Probability 292
  • Statistics, Probability and Uncertainty 239
  • Management Information Systems 273
  • Control and Systems Engineering 621
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Wolfram Wiesemann United Kingdom
James Luedtke United States
Murat Köksalan Türkiye
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Rüdiger Schultz Germany
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Citations per year

Countries citing papers authored by Erick Delage

Since Specialization
Citations

This map shows the geographic impact of Erick Delage'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 Erick Delage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erick Delage more than expected).

Fields of papers citing papers by Erick Delage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erick Delage. 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 Erick Delage. The network helps show where Erick Delage may publish in the future.

Co-authors

The 25 scholars most cited alongside Erick Delage, 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 Erick Delage Line = papers co-authored together Erick Delage links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems
Hit paper breakdown →
20101296
2 2006177
3 2009140
4 2009125
5 201678
6 201574
7 202071
8 200769
9 201562
10 201358
11 201456
12
A survey of contextual optimization methods for decision-making under uncertainty
Hit paper breakdown →
202449
13 201540
14 201735
15 202034
16 201929
17 200727
18 202024
19 201424
20 202323

About Erick Delage

Erick Delage is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Management Information Systems, Finance and Ocean Engineering, having authored 64 papers that have together received 2.7k indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (34 papers), Optimization and Mathematical Programming (13 papers), Stochastic processes and financial applications (7 papers), Facility Location and Emergency Management (7 papers), Supply Chain and Inventory Management (6 papers), Water resources management and optimization (6 papers), Vehicle Routing Optimization Methods (5 papers) and Advanced Bandit Algorithms Research (5 papers). The work is most often cited by research in Management Science and Operations Research (1.4k citations), Statistics and Probability (292 citations), Statistics, Probability and Uncertainty (239 citations), Management Information Systems (273 citations) and Control and Systems Engineering (621 citations). Erick Delage has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Yinyu Ye, Honglak Lee, Shie Mannor, Amir Ardestani-Jaafari, A.Y. Ng, Ahmed Saif, Benjamin Armbruster, Dan A. Iancu, John Gunnar Carlsson and Zizhuo Wang. Their work appears in journals such as Operations Research, European Journal of Operational Research, INFORMS journal on computing, Management Science and Transportation Science.

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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