John Red-Horse

1.3k citations
40 papers · 951 · h-index 16

Impact in

Papers in

John Red-Horse

39 papers receiving 897 citations

Peers

John Red-Horse
Comparison fields: 5 of 82
  • Statistics, Probability and Uncertainty 715
  • Civil and Structural Engineering 409
  • Statistical and Nonlinear Physics 182
  • Environmental Engineering 191
  • Computational Theory and Mathematics 166
Replace K. Sobczyk with:
K. Sobczyk Poland
Sai Hung Cheung Hong Kong
Jerrad Hampton United States
Jeroen Witteveen Netherlands
Loren D. Lutes United States
Lionel Mathelin France
G. Falsone Italy
Søren R. K. Nielsen Denmark
Bart G. van Bloemen Waanders United States
Fan Kong China
John Red-Horse relative to K. Sobczyk Poland K. Sobczyk's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Red-Horse

Since Specialization
Citations

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

Fields of papers citing papers by John Red-Horse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Red-Horse. 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 Red-Horse. The network helps show where John Red-Horse may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007142
2 1999139
3 2007118
4 200557
5 200152
6 200749
7 200445
8 199244
9 200839
10 200737
11 201330
12 200421
13 201221
14 199121
15 199421
16 202116
17 201415
18
A Nonstationary Solution in Random Vibration Theory
198712
19 19869
20 20089

About John Red-Horse

John Red-Horse is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering, Environmental Engineering, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 40 papers that have together received 951 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (26 papers), Structural Health Monitoring Techniques (16 papers), Wind and Air Flow Studies (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Structural Response to Dynamic Loads (4 papers), Scientific Research and Discoveries (4 papers), Risk and Safety Analysis (3 papers) and Model Reduction and Neural Networks (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (715 citations), Civil and Structural Engineering (409 citations), Statistical and Nonlinear Physics (182 citations), Environmental Engineering (191 citations) and Computational Theory and Mathematics (166 citations). John Red-Horse has collaborated with scholars based in United States, Belgium and Saudi Arabia. Frequent co-authors include Roger Ghanem, Pol D. Spanos, Alireza Doostan, Michael Beer, T.L. Paez, Debraj Ghosh, Marc P. Mignolet, Maarten Arnst, Thomas L. Paez and Richard Field. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering, Journal of Engineering Mechanics, International Journal of Non-Linear Mechanics and Innovative Higher Education.

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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