Jeremy Staum

2.5k citations
73 papers · 1.5k indexed · 1 hit paper · h-index 18
Topics
Simulation Techniques and Applications (35 papers)Advanced Multi-Objective Optimization Algorithms (18 papers)Risk and Portfolio Optimization (14 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Jeremy Staum

73 papers receiving 1.4k citations

Hit Papers

Stochastic Kriging for Simulation Metamodeling20092026201420202009100200300400

Peers

Jeremy Staum
Comparison fields: 5 of 98
  • Management Science and Operations Research 855
  • Computational Theory and Mathematics 538
  • Statistics, Probability and Uncertainty 339
  • Finance 272
  • Artificial Intelligence 231
Replace Peyman Mohajerin Esfahani with:
Peyman Mohajerin Esfahani Netherlands
Savaş Dayanik United States
O.L.V. Costa Brazil
Bernd Heidergott Netherlands
R.Y. Rubinstein Israel
Kai Yao China
Richard F. Serfozo United States
Xiangfeng Yang China
András Prékopa United States
Jerzy A. Filar Australia
Jeremy Staum relative to Peyman Mohajerin Esfahani Netherlands Peyman Mohajerin Esfahani's profile →
Citations per field
00.5×3.4×
Peyman Mohajerin Esfahani · 1×
Citations per year

Countries citing papers authored by Jeremy Staum

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jeremy Staum

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Staum. A scholar is included among the top collaborators of Jeremy Staum 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 Jeremy Staum. Jeremy Staum 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
#WorkIndexed citations
1 5
2 2
3 9
4 5
5 1
6 4
7 1
8 6
9 9
10 2
11 47
12 56
13
An Adaptive Procedure for Simulating Coherent Risk Measures Based on Generalized Scenarios
2
14 24
15 5
16 3
17 2
18 2
19 1
20 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) and Risk and Portfolio Optimization (14 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.

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