E. Jack Chen

838 citations
33 papers · 613 · h-index 11

Impact in

Papers in

E. Jack Chen

32 papers receiving 571 citations

Peers

E. Jack Chen
Comparison fields: 5 of 95
  • Management Science and Operations Research 299
  • Statistics, Probability and Uncertainty 144
  • Statistics and Probability 83
  • Software 35
  • Industrial and Manufacturing Engineering 82
Replace Enlu Zhou with:
Enlu Zhou United States
Jiaqiao Hu United States
Marc S. Meketon United States
И. Н. Коваленко Ukraine
Arnab Nilim United States
Yijie Peng China
Raymond Hemmecke United States
R. W. Conway United States
Paul J. Sánchez United States
Felisa J. Vázquez-Abad United States
E. Jack Chen relative to Enlu Zhou United States Enlu Zhou's profile →
Citations per field
00.5×1.5×
Enlu Zhou · 1×
Citations per year

Countries citing papers authored by E. Jack Chen

Since Specialization
Citations

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

Fields of papers citing papers by E. Jack Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Jack Chen. 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 E. Jack Chen. The network helps show where E. Jack Chen may publish in the future.

Co-authors

The 7 scholars most cited alongside E. Jack Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Jack Chen Line = papers co-authored together E. Jack Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002239
2 200438
3 200435
4 200633
5 200230
6 200729
7 199928
8 200325
9 200825
10 200416
11 200211
12 200611
13 200910
14 20109
15 20108
16 20148
17 20007
18 20017
19 20005
20 20035

About E. Jack Chen

E. Jack Chen is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty, Software, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 33 papers that have together received 613 indexed citations. Recurring topics across this work include Simulation Techniques and Applications (26 papers), Advanced Statistical Process Monitoring (11 papers), Optimal Experimental Design Methods (9 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Software Reliability and Analysis Research (6 papers), Probabilistic and Robust Engineering Design (5 papers), Advanced Database Systems and Queries (5 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Management Science and Operations Research (299 citations), Statistics, Probability and Uncertainty (144 citations), Statistics and Probability (83 citations), Software (35 citations) and Industrial and Manufacturing Engineering (82 citations). E. Jack Chen has collaborated with scholars based in United States, Singapore and Latvia. Frequent co-authors include W. David Kelton, Pierre L’Ecuyer, Richard Simard, Young Moo Lee, Loo Hay Lee, Min Li and Sai-hua Kuo. Their work appears in journals such as Discrete Event Dynamic Systems, Simulation Modelling Practice and Theory, European Journal of Operational Research, Computers & Operations Research and INFORMS Journal on Applied Analytics.

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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