Erick Delage

6.5k total citations · 1 hit paper
61 papers, 2.4k citations indexed

About

Erick Delage is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Management Information Systems. According to data from OpenAlex, Erick Delage has authored 61 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Management Science and Operations Research, 15 papers in Control and Systems Engineering and 8 papers in Management Information Systems. Recurrent topics in Erick Delage's work include Risk and Portfolio Optimization (33 papers), Optimization and Mathematical Programming (13 papers) and Stochastic processes and financial applications (7 papers). Erick Delage is often cited by papers focused on Risk and Portfolio Optimization (33 papers), Optimization and Mathematical Programming (13 papers) and Stochastic processes and financial applications (7 papers). Erick Delage collaborates with scholars based in Canada, United States and France. Erick Delage's co-authors include Yinyu Ye, Shie Mannor, Honglak Lee, A.Y. Ng, Ahmed Saif, Benjamin Armbruster, John Gunnar Carlsson, Shipra Agrawal, Mark Peters and Zizhuo Wang and has published in prestigious journals such as Management Science, European Journal of Operational Research and Operations Research.

In The Last Decade

Erick Delage

58 papers receiving 2.3k citations

Hit Papers

Distributionally Robust Optimization Under Moment Uncerta... 2010 2026 2015 2020 2010 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Erick Delage Canada 19 1.2k 553 354 257 244 61 2.4k
Wolfram Wiesemann United Kingdom 23 1.4k 1.1× 807 1.5× 354 1.0× 296 1.2× 331 1.4× 56 2.4k
James Luedtke United States 22 865 0.7× 743 1.3× 427 1.2× 174 0.7× 325 1.3× 53 2.2k
Rüdiger Schultz Germany 25 1.1k 0.9× 706 1.3× 493 1.4× 155 0.6× 256 1.0× 68 2.1k
Tito Homem‐de‐Mello United States 27 1.4k 1.2× 651 1.2× 452 1.3× 261 1.0× 567 2.3× 66 3.4k
Berç Rüstem United Kingdom 26 1.3k 1.1× 732 1.3× 271 0.8× 218 0.8× 159 0.7× 121 2.7k
András Prékopa United States 21 1.3k 1.1× 796 1.4× 240 0.7× 534 2.1× 205 0.8× 93 2.7k
Darinka Dentcheva United States 20 2.4k 2.0× 906 1.6× 537 1.5× 565 2.2× 238 1.0× 58 3.9k
João Clı́maco Portugal 27 775 0.6× 457 0.8× 291 0.8× 110 0.4× 584 2.4× 117 2.5k
Włodzimierz Ogryczak Poland 29 1.9k 1.6× 636 1.2× 220 0.6× 287 1.1× 294 1.2× 89 3.1k
Samarjit Kar India 32 1.6k 1.3× 691 1.2× 152 0.4× 537 2.1× 155 0.6× 154 3.1k

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-authorship network of co-authors of Erick Delage

This figure shows the co-authorship network connecting the top 25 collaborators of Erick Delage. A scholar is included among the top collaborators of Erick Delage 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 Erick Delage. Erick Delage is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Delage, Erick, et al.. (2024). A survey of contextual optimization methods for decision-making under uncertainty. European Journal of Operational Research. 320(2). 271–289. 36 indexed citations
2.
Saif, Ahmed, et al.. (2023). A double-oracle, logic-based Benders decomposition approach to solve the K-adaptability problem. Computers & Operations Research. 155. 106243–106243. 5 indexed citations
3.
Wang, Xin, Okan Arslan, & Erick Delage. (2023). Crowdkeeping in Last-mile Delivery. SSRN Electronic Journal.
4.
Delage, Erick, et al.. (2023). Deep reinforcement learning for option pricing and hedging under dynamic expectile risk measures. Quantitative Finance. 23(10). 1411–1430. 5 indexed citations
5.
Delage, Erick, et al.. (2022). The Value of Randomized Strategies in Distributionally Robust Risk-Averse Network Interdiction Problems. INFORMS journal on computing. 35(1). 216–232. 6 indexed citations
6.
Delage, Erick, et al.. (2022). Data-Driven Optimization with Distributionally Robust Second Order Stochastic Dominance Constraints. Operations Research. 72(3). 1298–1316. 11 indexed citations
7.
Delage, Erick, et al.. (2020). Probabilistic Envelope Constrained Multiperiod Stochastic Emergency Medical Services Location Model and Decomposition Scheme. Transportation Science. 54(6). 1471–1494. 23 indexed citations
8.
Zhang, Fan, et al.. (2020). Distributionally Robust Local Non-parametric Conditional Estimation. arXiv (Cornell University). 33. 1–15242. 2 indexed citations
9.
Delage, Erick, Luca G. Gianoli, & Brunilde Sansò. (2018). A Practicable Robust Counterpart Formulation for Decomposable Functions: A Network Congestion Case Study. Operations Research. 66(2). 535–567. 4 indexed citations
10.
Delage, Erick, et al.. (2016). Linearized robust counterparts of two-stage robust optimization problems with applications in operations management. Les Cahiers du GERAD. 1–47. 6 indexed citations
11.
Delage, Erick, et al.. (2015). Robust optimization of sums of piecewise linear functions with application to inventory problems. Les Cahiers du GERAD. 1–38. 1 indexed citations
12.
Delage, Erick, et al.. (2015). A robust optimization model for the risk averse reservoir management problem. PolyPublie (École Polytechnique de Montréal). 1–24. 1 indexed citations
13.
Armbruster, Benjamin & Erick Delage. (2015). Decision Making Under Uncertainty When Preference Information Is Incomplete. Management Science. 61(1). 111–128. 67 indexed citations
14.
Delage, Erick, P. T., M. Karamitros, et al.. (2015). PDB4DNA: Implementation of DNA geometry from the Protein Data Bank (PDB) description for Geant4-DNA Monte-Carlo simulations. Computer Physics Communications. 192. 282–288. 36 indexed citations
15.
Delage, Erick, Michel Denault, & Jean‐Guy Simonato. (2014). A simulation-and-regression approach for dynamic programming, and its application to portfolio choice. Les Cahiers du GERAD. 1–27. 1 indexed citations
16.
Delage, Erick, et al.. (2014). The value of flexibility in robust location-transportation problem. Les Cahiers du GERAD. 1–24. 3 indexed citations
17.
Delage, Erick & John Gunnar Carlsson. (2012). Robust Partitioning for Stochastic Multi-Vehicle Routing. Les Cahiers du GERAD. 1–24. 1 indexed citations
18.
Agrawal, Shipra, Erick Delage, Mark Peters, Zizhuo Wang, & Yinyu Ye. (2011). A Unified Framework for Dynamic Prediction Market Design. Operations Research. 59(3). 550–568. 15 indexed citations
19.
Delage, Erick, Honglak Lee, & A.Y. Ng. (2006). A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image. 2. 2418–2428. 147 indexed citations
20.
Delage, Erick, et al.. (2003). FASTRAD - A New Tool for Radiation Prediction. ESA Special Publication. 536. 181–183. 13 indexed citations

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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