Jerrad Hampton

13 papers receiving 648 citations

Peers

Jerrad Hampton
Comparison fields: 5 of 68
  • Statistics, Probability and Uncertainty 535
  • Statistical and Nonlinear Physics 167
  • Computational Theory and Mathematics 196
  • Civil and Structural Engineering 239
  • Computational Mathematics 5
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John Red-Horse United States
Andreas Keese Germany
Bart G. van Bloemen Waanders United States
Jeroen Witteveen Netherlands
Lorenzo Tamellini Italy
Lionel Mathelin France
Hans-Jörg Starkloff Germany
Timothy Wildey United States
Arthur C. Taylor United States
Radu Alexandru Todor Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Jerrad Hampton

Since Specialization
Citations

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

Fields of papers citing papers by Jerrad Hampton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jerrad Hampton. 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 Jerrad Hampton. The network helps show where Jerrad Hampton may publish in the future.

Co-authors

The 12 scholars most cited alongside Jerrad Hampton, 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 Jerrad Hampton Line = papers co-authored together Jerrad Hampton links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2014162
2 2014133
3 201591
4 201885
5 201655
6 202041
7 201832
8 201830
9 201513
10 20159
11 20179
12 20123
13 20141
14 20240
15 20230

About Jerrad Hampton

Jerrad Hampton is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Computational Mechanics, having authored 15 papers that have together received 664 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (12 papers), Structural Health Monitoring Techniques (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Model Reduction and Neural Networks (2 papers), Microgrid Control and Optimization (1 paper), Mathematical Approximation and Integration (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (535 citations), Statistical and Nonlinear Physics (167 citations), Computational Theory and Mathematics (196 citations), Civil and Structural Engineering (239 citations) and Computational Mathematics (5 citations). Jerrad Hampton has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Alireza Doostan, Subhayan De, Kurt Maute, Akil Narayan, Brandon A. Jones, Manuel E. Lladser, Antonio Camacho, Manel Velasco, Santiago Badia and Javier Príncipe. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering, PLoS ONE, Structural and Multidisciplinary Optimization and Advances in Space Research.

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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