John E. Renaud

6.4k total citations
164 papers, 5.1k citations indexed

About

John E. Renaud is a scholar working on Computational Theory and Mathematics, Civil and Structural Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, John E. Renaud has authored 164 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Computational Theory and Mathematics, 59 papers in Civil and Structural Engineering and 54 papers in Statistics, Probability and Uncertainty. Recurrent topics in John E. Renaud's work include Advanced Multi-Objective Optimization Algorithms (83 papers), Topology Optimization in Engineering (55 papers) and Probabilistic and Robust Engineering Design (54 papers). John E. Renaud is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (83 papers), Topology Optimization in Engineering (55 papers) and Probabilistic and Robust Engineering Design (54 papers). John E. Renaud collaborates with scholars based in United States, Colombia and Venezuela. John E. Renaud's co-authors include James P. Thomas, José F. Rodrı́guez, Ravindra V. Tappeta, Harish Agarwal, Stephen M. Batill, Shawn Gano, Andrés Tovar, Gary A. Gabriele, Brett Wujek and Layne T. Watson and has published in prestigious journals such as AIAA Journal, Reliability Engineering & System Safety and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

John E. Renaud

161 papers receiving 4.8k citations

Peers

John E. Renaud
Comparison fields: 5 of 130
  • Computational Theory and Mathematics 2.4k
  • Statistics, Probability and Uncertainty 1.8k
  • Civil and Structural Engineering 1.2k
  • Mechanical Engineering 1.1k
  • Management Science and Operations Research 943
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Citations per field, relative to John E. Renaud
John E. Renaud · 1×
Citations per year, relative to John E. Renaud
John E. Renaud · 1×

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-authorship network of co-authors of John E. Renaud

This figure shows the co-authorship network connecting the top 25 collaborators of John E. Renaud. A scholar is included among the top collaborators of John E. Renaud 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 John E. Renaud. John E. Renaud 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
# Work Indexed citations
1 0
2
Bobbin, Nonmultiplexed Array, and Multiplexed Array Eddy Current Probes for Heat Exchanger Inspection
0
3
Print Retention Decision Making
1
4 1
5 1
6
Method of multi-domain topology optimization for continuum structures
0
7 7
8 72
9 24
10 8
11 15
12 8
13 3
14 24
15 77
16 62
17 3
18 79
19 6
20 10

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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