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, Layne T. Watson and Brett Wujek 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John E. Renaud 2.4k 1.8k 1.2k 1.1k 943 164 5.1k
Zhen Hu 1.0k 0.4× 2.1k 1.2× 1.1k 0.9× 805 0.7× 493 0.5× 228 4.6k
G. Gary Wang 1.6k 0.7× 1.0k 0.6× 487 0.4× 651 0.6× 677 0.7× 31 3.1k
R. J. Yang 1.4k 0.6× 1.2k 0.6× 1.5k 1.3× 698 0.6× 488 0.5× 81 3.3k
Ikjin Lee 1.5k 0.6× 2.0k 1.1× 1.2k 1.1× 533 0.5× 591 0.6× 158 3.7k
Qi Zhou 1.2k 0.5× 994 0.5× 354 0.3× 1.6k 1.5× 603 0.6× 151 3.8k
Byeng D. Youn 2.3k 1.0× 3.8k 2.1× 2.3k 2.0× 2.4k 2.1× 976 1.0× 296 10.2k
Ping Jiang 990 0.4× 740 0.4× 362 0.3× 3.5k 3.0× 543 0.6× 316 6.4k
Xinyu Shao 1.2k 0.5× 909 0.5× 741 0.6× 4.0k 3.6× 649 0.7× 258 10.0k
Hong‐Zhong Huang 698 0.3× 3.1k 1.7× 1.1k 1.0× 2.0k 1.8× 654 0.7× 348 7.8k
Sujin Bureerat 2.2k 0.9× 407 0.2× 1.5k 1.3× 967 0.9× 160 0.2× 167 4.9k

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
1.
Goetz, J. A., et al.. (2024). SIMULTANEOUS TOPOGRAPHY OPTIMIZATION OF A VEHICLE HULL AND TOPOLOGY OPTIMIZATION OF THE ASSEMBLY INTERFACE FOR BLAST MITIGATION. SAE technical papers on CD-ROM/SAE technical paper series. 1.
2.
Renaud, John E., et al.. (2019). Bobbin, Nonmultiplexed Array, and Multiplexed Array Eddy Current Probes for Heat Exchanger Inspection. Materials Evaluation. 77(3). 401–410.
3.
Renaud, John E., et al.. (2013). Print Retention Decision Making. 1 indexed citations
4.
5.
Tovar, Andrés, et al.. (2010). Reliability Based Designs for Crashworthiness: Decision Under Uncertainty/Uncertainty Modeling. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations
6.
Jumper, Eric, et al.. (2010). Optimum Design of an Aircraft-Mounted Pod for Improved Aero-Optic Performance. 3 indexed citations
7.
Renaud, John E., et al.. (2009). Method of multi-domain topology optimization for continuum structures. Beijing Hangkong Hangtian Daxue xuebao. 35(2). 227.
8.
Patel, Neal, et al.. (2009). Synthesis of a Dynamically Loaded Structure with Topology Optimization. SAE International Journal of Passenger Cars - Mechanical Systems. 2(1). 1143–1150. 7 indexed citations
9.
Orías, Alejandro A. Espinoza, et al.. (2008). Anatomic variation in the elastic anisotropy of cortical bone tissue in the human femur. Journal of the mechanical behavior of biomedical materials. 2(3). 255–263. 72 indexed citations
10.
Patel, Neal, Byungsoo Kang, & John E. Renaud. (2006). Crashworthiness Design Using a Hybrid Cellular Automaton Algorithm. 151–162. 8 indexed citations
11.
Bowling, Alan, et al.. (2006). Reliability-Based Design Optimization of Robotic System Dynamic Performance. Journal of Mechanical Design. 129(4). 449–454. 24 indexed citations
12.
Tovar, Andrés, Shawn Gano, James J. Mason, & John E. Renaud. (2005). Optimum design of an interbody implant for lumbar spine fixation. Advances in Engineering Software. 36(9). 634–642. 15 indexed citations
13.
Gano, Shawn, et al.. (2004). Morphing UAV Pareto Curve Shift for Enhanced Performance. Figshare. 25 indexed citations
14.
Eldred, Michael, et al.. (2004). Solving the Infeasible Trust-Region Problem Using Approximations. 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. 8 indexed citations
15.
Tovar, Andrés, et al.. (2003). Optimum Topology Design Of An Interbody Fusion Implant For Lumbar Spine Fixation. WIT transactions on the built environment. 67. 3 indexed citations
16.
Rebolledo, Juan Félix Rodríguez, Victor M. Pérez, Dhanesh Padmanabhan, & John E. Renaud. (2001). Sequential approximate optimization using variable fidelity response surface approximations. Structural and Multidisciplinary Optimization. 22(1). 24–34. 77 indexed citations
17.
Rodrı́guez, José F., John E. Renaud, Brett Wujek, & Ravindra V. Tappeta. (2000). Trust region model management in multidisciplinary design optimization. Journal of Computational and Applied Mathematics. 124(1-2). 139–154. 62 indexed citations
18.
Rodrı́guez, José F., John E. Renaud, & Layne T. Watson. (1998). Convergence using variable fidelity approximation data in a trust region managed augmented Lagrangian approximate optimization. 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. 6 indexed citations
19.
Wujek, Brett & John E. Renaud. (1998). New Adaptive Move-Limit Management Strategy for Approximate Optimization, Part 2. AIAA Journal. 36(10). 1922–1934. 79 indexed citations
20.
Rodrı́guez, José F., John E. Renaud, & Layne T. Watson. (1997). Trust Region Augmented Lagrangian Methods for Sequential Response Surface Approximation and Optimization. 10 indexed citations

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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