Shabbir Ahmed

Management Science and Operations Research · 2003–2018

A researcher in the Science corpus: 10 papers; trusts 31 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 32 citations into it; #1,686 of 11,946 by trust here, #2,667 by citations
• Computational Theory and Mathematics — 20 citations into it
• Control and Systems Engineering — 17 citations into it; #1,557 of 8,257 by trust here, #2,376 by citations
• Electrical and Electronic Engineering — 14 citations into it
• Mathematical Optimization — 10 citations into it
• Statistics and Probability — 10 citations into it; #7,899 of 12,932 by trust here, #8,740 by citations
• Computer Networks and Communications — 9 citations into it
• Industrial and Manufacturing Engineering — 9 citations into it; #312 of 2,521 by trust here, #788 by citations

Whom Shabbir Ahmed trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alexander Shapiro
2. Giuseppe Carlo Calafiore
3. René Henrion
4. Georg Ch. Pflug
5. James R. Luedtke
6. Kjetil Høyland
7. D. Kühn
8. George L. Nemhauser
9. Arkadi Nemirovski
10. Elisabeth Köbis

Who trusts Shabbir Ahmed overall

1. Alexander Shapiro
2. Paolo Brandimarte
3. Juan Pablo Vielma
4. Guanghui Lan
5. Ruiwei Jiang
6. Qianfan Wang
7. Yongpei Guan
8. Stefan Nickel
9. Marco Claudio Campi
10. Arkadi Nemirovski

Papers from Shabbir Ahmed's perspective

Ordered by how strongly the researchers Shabbir Ahmed trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Price of Robustness (Operational Research)
2. A Sample Approximation Approach for Optimization with Probabilistic Constraints (SIAM Journal on Optimization)
3. Uncertain convex programs: randomized solutions and confidence levels (Mathematical programming)
4. Linear Programming and Extensions
5. Optimization of a continuous distillation process under random inflow rate
6. Theory of linear and integer programming
7. An integer programming approach for linear programs with probabilistic constraints (Mathematical programming)
8. Lectures on Stochastic Programming: Modeling and Theory
9. Et al
10. The empirical behavior of sampling methods for stochastic programming (Annals of Operations Research)

Their papers

• A Sample Approximation Approach for Optimization with Probabilistic Constraints (2008) — 694 citations
• A Multi-Stage Stochastic Integer Programming Approach for Capacity Expansion under Uncertainty (2003) — 367 citations
• Learning to Run Heuristics in Tree Search (2017) — 155 citations
• Sample Average Approximation Method for Chance Constrained Programming: Theory and Applications (2009) — 578 citations
• Supply chain design under uncertainty using sample average approximation and dual decomposition (2009) — 299 citations
• Distributionally Robust Chance Constrained Optimal Power Flow with Renewables: A Conic Reformulation (2018) — 176 citations
• Stochastic dual dynamic integer programming (2018) — 301 citations
• Mixed-Integer Models for Nonseparable Piecewise-Linear Optimization: Unifying Framework and Extensions (2010) — 399 citations
• An integer programming approach for linear programs with probabilistic constraints (2007) — 417 citations
• The Sample Average Approximation Method Applied to Stochastic Routing Problems: A Computational Study (2003) — 517 citations