John E. Renaud

161 papers receiving 5.1k citations

Peers

John E. Renaud
Comparison fields: 5 of 95
  • Statistics, Probability and Uncertainty 1.3k
  • Computational Theory and Mathematics 1.7k
  • Automotive Engineering 874
  • Management of Technology and Innovation 400
  • Numerical Analysis 177
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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 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001323
2 2003292
3 2004281
4 2000190
5 1997161
6 2005140
7 2006138
8 1996133
9 1997132
10 2009132
11 2003130
12 2000128
13 1998116
14 2006116
15 2000111
16 199896
17 199393
18 199489
19 199688
20 199880

About John E. Renaud

John E. Renaud is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Civil and Structural Engineering, Numerical Analysis and Management of Technology and Innovation, having authored 163 papers that have together received 5.4k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (66 papers), Topology Optimization in Engineering (49 papers), Probabilistic and Robust Engineering Design (46 papers), Advanced Optimization Algorithms Research (21 papers), Product Development and Customization (13 papers), Metaheuristic Optimization Algorithms Research (7 papers), Additive Manufacturing and 3D Printing Technologies (6 papers) and Aeroelasticity and Vibration Control (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.3k citations), Computational Theory and Mathematics (1.7k citations), Automotive Engineering (874 citations), Management of Technology and Innovation (400 citations) and Numerical Analysis (177 citations). John E. Renaud has collaborated with scholars based in United States, Colombia and Venezuela. Frequent co-authors include José Félix Rodríguez Matas, James P. Thomas, Ravindra V. Tappeta, Harish Agarwal, Stephen M. Batill, Shawn Gano, Andrés Tovar, Gary A. Gabriele, Brett A. Wujek and Layne T. Watson. 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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