David P. Morton
- Management Science and Operations Research top 0.5%
- Industrial and Manufacturing Engineering top 0.5%
- Control and Systems Engineering top 2%
- Civil and Structural Engineering top 2%
- Electrical and Electronic Engineering top 10%
- Co-authors
- R. Kevin WoodWai-Kei MakFeng PanGüzi̇n BayraksanGerd InfangerCarl T. HaasElmira PopovaKyle J. Daun
- Topics
- Risk and Portfolio Optimization (44 papers)Optimization and Mathematical Programming (19 papers)Probabilistic and Robust Engineering Design (17 papers)
- Cited by
- Management Science and Operations ResearchIndustrial and Manufacturing EngineeringStatistics, Probability and Uncertainty
- Partner nations
- United StatesCanadaGermany
In The Last Decade
David P. Morton
141 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 149
- Management Science and Operations Research 1.0k
- Industrial and Manufacturing Engineering 572
- Control and Systems Engineering 561
- Civil and Structural Engineering 529
- Electrical and Electronic Engineering 501
Countries citing papers authored by David P. Morton
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 30 | |
| 5 | 31 | |
| 6 | 4 | |
| 7 | 42 | |
| 8 | 1 | |
| 9 | Robust Optimization and Control for Electricity Generation and Transmission | 1 |
| 10 | 5 | |
| 11 | 0 | |
| 12 | Game-Theoretic Allocation of Security Investments at Nuclear Reactors. | 1 |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | Optimizing Benchmark-Based Utility Functions | 7 |
| 18 | 1 | |
| 19 | A survey on stochastic location and routing problems | 11 |
| 20 | 10 |
About David P. Morton
David P. Morton is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Finance, having authored 151 papers that have together received 3.5k indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (44 papers), Optimization and Mathematical Programming (19 papers) and Probabilistic and Robust Engineering Design (17 papers). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Industrial and Manufacturing Engineering (572 citations) and Statistics, Probability and Uncertainty (317 citations). David P. Morton has collaborated with scholars based in United States, Canada and Germany. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.