Jeremy Staum
-
- Simulation Techniques and Applications 35
- Risk and Portfolio Optimization 14
- Optimal Experimental Design Methods 6
-
- Probabilistic and Robust Engineering Design 12
-
- Advanced Multi-Objective Optimization Algorithms 18
- Finance top 2%
- Stochastic processes and financial applications 13
- Software top 5%
-
- Reservoir Engineering and Simulation Methods 10
-
- Statistical Methods and Inference 8
- Co-authors
- Barry L. NelsonBruce E. AnkenmanEunhye SongMing LiuPaul GlassermanDaniel W. ApleyAndreas WächterJames M. Park
- Cited by
- Management Science and Operations ResearchStatistics, Probability and UncertaintyComputational Theory and Mathematics
- Journals
- Management Science (1 paper)Operations Research (8 papers)SIAM Journal on Optimization (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Jeremy Staum
73 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Management Science and Operations Research 855
- Statistics, Probability and Uncertainty 339
- Computational Theory and Mathematics 538
- Finance 272
- Software 79
Countries citing papers authored by Jeremy Staum
This map shows the geographic impact of Jeremy Staum'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 Jeremy Staum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy Staum more than expected).
Fields of papers citing papers by Jeremy Staum
This network shows the impact of papers produced by Jeremy Staum. 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 Jeremy Staum. The network helps show where Jeremy Staum may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Jeremy Staum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 5 | |
| 2 | 2016 | 2 | |
| 3 | 2015 | 9 | |
| 4 | 2014 | 5 | |
| 5 | 2013 | 1 | |
| 6 | 2012 | 4 | |
| 7 | 2010 | 1 | |
| 8 | 2010 | 6 | |
| 9 | 2010 | 9 | |
| 10 | 2009 | 2 | |
| 11 | 2009 | 47 | |
| 12 | 2008 | 56 | |
| 13 | An Adaptive Procedure for Simulating Coherent Risk Measures Based on Generalized Scenarios | 2008 | 2 |
| 14 | 2008 | 24 | |
| 15 | 2008 | 5 | |
| 16 | 2004 | 3 | |
| 17 | 2004 | 2 | |
| 18 | 2004 | 2 | |
| 19 | 2002 | 1 | |
| 20 | 2002 | 14 |
About Jeremy Staum
Jeremy Staum is a scholar working on Management Science and Operations Research, Finance and Statistics, Probability and Uncertainty, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Simulation Techniques and Applications (35 papers), Advanced Multi-Objective Optimization Algorithms (18 papers), Risk and Portfolio Optimization (14 papers), Stochastic processes and financial applications (13 papers), Probabilistic and Robust Engineering Design (12 papers), Reservoir Engineering and Simulation Methods (10 papers), Statistical Methods and Inference (8 papers) and Optimal Experimental Design Methods (6 papers). The work is most often cited by research in Management Science and Operations Research (855 citations), Statistics, Probability and Uncertainty (339 citations) and Computational Theory and Mathematics (538 citations). Jeremy Staum has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Barry L. Nelson, Bruce E. Ankenman, Eunhye Song, Ming Liu, Paul Glasserman, Daniel W. Apley, Ming Liu, Andreas Wächter, James M. Park and Wei Xie. Their work appears in journals such as Management Science, Operations Research and SIAM Journal on Optimization.
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.