John E. Renaud

6.4k citations
164 papers · 5.1k · h-index 39

Impact in

Papers in

John E. Renaud

161 papers receiving 4.8k citations

Peers

John E. Renaud
Comparison fields: 5 of 130
  • Statistics, Probability and Uncertainty 1.8k
  • Computational Theory and Mathematics 2.4k
  • Industrial and Manufacturing Engineering 836
  • Automotive Engineering 938
  • Management Science and Operations Research 943
Replace G. Gary Wang with:
G. Gary Wang Canada
Xinyu Shao China
Byeng D. Youn South Korea
Ping Jiang China
R. J. Yang United States
Zhen Hu United States
Xiaoping Du United States
Himanshu Jain India
Gengdong Cheng China
Hong‐Zhong Huang China
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Citations per field
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Citations per year

Countries citing papers authored by John E. Renaud

Since Specialization
Citations

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

Fields of papers citing papers by John E. Renaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John E. Renaud, 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 John E. Renaud Line = papers co-authored together John E. Renaud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001290
2 2003277
3 2004262
4 2000178
5 1997146
6 2005127
7 1996127
8 1997126
9 2006125
10 2009119
11 2000119
12 2003116
13 1998111
14 2006106
15 200099
16 199392
17 199889
18 199687
19 199486
20 199879

About John E. Renaud

John E. Renaud is a scholar working on Computational Theory and Mathematics, Civil and Structural Engineering, Statistics, Probability and Uncertainty, Management Science and Operations Research and Mechanical Engineering, having authored 164 papers that have together received 5.1k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (83 papers), Topology Optimization in Engineering (55 papers), Probabilistic and Robust Engineering Design (54 papers), Optimal Experimental Design Methods (29 papers), Manufacturing Process and Optimization (20 papers), Structural Analysis and Optimization (14 papers), Advanced Optimization Algorithms Research (11 papers) and Advanced Mathematical Modeling in Engineering (10 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.8k citations), Computational Theory and Mathematics (2.4k citations), Industrial and Manufacturing Engineering (836 citations), Automotive Engineering (938 citations) and Management Science and Operations Research (943 citations). John E. Renaud has collaborated with scholars based in United States, Colombia and Venezuela. Frequent co-authors include James P. Thomas, José F. Rodrı́guez, Ravindra V. Tappeta, Harish Agarwal, Stephen M. Batill, Shawn Gano, Andrés Tovar, Gary A. Gabriele, Layne T. Watson and Brett Wujek. Their work appears in journals such as AIAA Journal, Journal of Mechanical Design, Engineering Optimization, Structural and Multidisciplinary Optimization and SAE technical papers on CD-ROM/SAE technical paper series.

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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