David P. Morton

5.3k total citations
151 papers, 3.5k citations indexed

About

David P. Morton is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Control and Systems Engineering. According to data from OpenAlex, David P. Morton has authored 151 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Management Science and Operations Research, 24 papers in Statistics, Probability and Uncertainty and 23 papers in Control and Systems Engineering. Recurrent topics in David P. Morton's work include Risk and Portfolio Optimization (44 papers), Optimization and Mathematical Programming (19 papers) and Probabilistic and Robust Engineering Design (17 papers). David P. Morton is often cited by papers focused on Risk and Portfolio Optimization (44 papers), Optimization and Mathematical Programming (19 papers) and Probabilistic and Robust Engineering Design (17 papers). David P. Morton collaborates with scholars based in United States, Canada and Germany. David P. Morton's co-authors include R. Kevin Wood, Wai-Kei Mak, Feng Pan, Güzi̇n Bayraksan, Gerd Infanger, Carl T. Haas, Elmira Popova, Kyle J. Daun, Stanley M. Parsons and Jonathan M. Harris and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

David P. Morton

141 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David P. Morton United States 30 1.0k 572 561 529 501 151 3.5k
Dick den Hertog Netherlands 30 1.6k 1.5× 408 0.7× 816 1.5× 164 0.3× 431 0.9× 152 4.1k
Fernando Ordóñez United States 36 482 0.5× 957 1.7× 687 1.2× 989 1.9× 331 0.7× 92 4.5k
John M. Mulvey United States 32 1.6k 1.6× 744 1.3× 991 1.8× 261 0.5× 318 0.6× 122 4.8k
Gilles Savard Canada 29 706 0.7× 726 1.3× 1.6k 2.8× 179 0.3× 614 1.2× 101 4.7k
W.H. Ip Hong Kong 38 837 0.8× 1.4k 2.4× 524 0.9× 370 0.7× 333 0.7× 353 6.0k
Mohammad Modarres United States 38 787 0.8× 490 0.9× 1.3k 2.3× 705 1.3× 518 1.0× 264 5.5k
Tito Homem‐de‐Mello United States 27 1.4k 1.4× 567 1.0× 651 1.2× 88 0.2× 452 0.9× 66 3.4k
Jih‐Jeng Huang Taiwan 18 1.6k 1.6× 253 0.4× 535 1.0× 144 0.3× 326 0.7× 76 4.1k
Gerald G. Brown United States 25 381 0.4× 1.1k 1.9× 664 1.2× 834 1.6× 158 0.3× 92 3.4k
Matthias Ehrgott New Zealand 43 1.8k 1.7× 1.7k 3.0× 1.4k 2.5× 163 0.3× 293 0.6× 140 6.9k

Countries citing papers authored by David P. Morton

Since Specialization
Citations

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

Fields of papers citing papers by David P. Morton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Morton. 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 David P. Morton. The network helps show where David P. Morton may publish in the future.

Co-authorship network of co-authors of David P. Morton

This figure shows the co-authorship network connecting the top 25 collaborators of David P. Morton. A scholar is included among the top collaborators of David P. Morton 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 David P. Morton. David P. Morton 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.
Pasco, Remy, Kaitlyn E. Johnson, Spencer J. Fox, et al.. (2023). COVID-19 Test Allocation Strategy to Mitigate SARS-CoV-2 Infections across School Districts. Emerging infectious diseases. 29(3). 501–510. 1 indexed citations
2.
Dowson, Oscar, David P. Morton, & Bernardo K. Pagnoncelli. (2022). Incorporating convex risk measures into multistage stochastic programming algorithms. Annals of Operations Research. 348(2). 807–831. 4 indexed citations
3.
Dowson, Oscar, et al.. (2022). Bi-objective multistage stochastic linear programming. Mathematical Programming. 196(1-2). 907–933. 5 indexed citations
4.
Singh, Bismark, et al.. (2021). Selecting pharmacies for COVID-19 testing to ensure access. Health Care Management Science. 24(2). 330–338. 30 indexed citations
5.
Yang, Haoxiang, Daniel Duque, David P. Morton, et al.. (2021). Design of COVID-19 staged alert systems to ensure healthcare capacity with minimal closures. Nature Communications. 12(1). 3767–3767. 31 indexed citations
6.
Dowson, Oscar, David P. Morton, & Bernardo K. Pagnoncelli. (2020). Partially observable multistage stochastic programming. Operations Research Letters. 48(4). 505–512. 4 indexed citations
7.
Duque, Daniel, David P. Morton, Bismark Singh, et al.. (2020). Timing social distancing to avert unmanageable COVID-19 hospital surges. Proceedings of the National Academy of Sciences. 117(33). 19873–19878. 42 indexed citations
8.
Singh, Bismark, et al.. (2020). Expanding Access to COVID-19 Tests through US Postal Service Facilities. Medical Decision Making. 41(1). 3–8. 1 indexed citations
9.
Bandi, Chaithanya, Krishnamurthy Dvijotham, David P. Morton, & Haoxiang Yang. (2018). Robust Optimization and Control for Electricity Generation and Transmission. arXiv (Cornell University). 1 indexed citations
10.
Zolan, Alexander, John J. Hasenbein, & David P. Morton. (2017). Optimizing the design of a latin hypercube sampling estimator. Winter Simulation Conference. 1832–1843. 5 indexed citations
11.
Singh, Bismark, et al.. (2014). Optimizing Distribution of Pandemic Influenza Antivirals. 1(1).
12.
Zolan, Alexander, et al.. (2014). Game-Theoretic Allocation of Security Investments at Nuclear Reactors.. Risk Analysis. 1 indexed citations
13.
Bayraksan, Güzi̇n, et al.. (2011). A combined deterministic and sampling-based sequential bounding method for stochastic programming. Winter Simulation Conference. 4172–4183. 7 indexed citations
14.
Morton, David P., et al.. (2009). Estimating the efficient frontier of a probabilistic bicriteria model. Winter Simulation Conference. 494–504. 3 indexed citations
15.
Popova, Elmira, et al.. (2009). Bayesian non-parametric simulation of hazard functions. Winter Simulation Conference. 475–482. 1 indexed citations
16.
Bayraksan, Güzi̇n & David P. Morton. (2007). Sequential sampling for solving stochastic programs. Winter Simulation Conference. 421–429. 1 indexed citations
17.
Morton, David P., et al.. (2003). Optimizing Benchmark-Based Utility Functions. RePEc: Research Papers in Economics. 10(18). 1–18. 7 indexed citations
18.
Hausman, William J., et al.. (2001). ESO Volume 2 Issue 4 Front matter. Enterprise & Society. 2(4). f1–f3. 1 indexed citations
19.
Morton, David P., et al.. (2001). A survey on stochastic location and routing problems. Central European Journal of Operations Research. 9. 277–328. 11 indexed citations
20.
Popova, Elmira & David P. Morton. (1998). Adaptive stochastic manpower scheduling. Winter Simulation Conference. 1. 661–668. 10 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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