Brian M. Rutherford

18 papers receiving 621 citations

Peers

Brian M. Rutherford
Comparison fields: 5 of 94
  • Statistics, Probability and Uncertainty 345
  • Computational Theory and Mathematics 163
  • Civil and Structural Engineering 137
  • Management Science and Operations Research 113
  • Control and Systems Engineering 100
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K.V. Diegert United States
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Citations per year

Countries citing papers authored by Brian M. Rutherford

Since Specialization
Citations

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

Fields of papers citing papers by Brian M. Rutherford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Rutherford. 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 Brian M. Rutherford. The network helps show where Brian M. Rutherford may publish in the future.

Co-authorship network of co-authors of Brian M. Rutherford

This figure shows the co-authorship network connecting the top 25 collaborators of Brian M. Rutherford. A scholar is included among the top collaborators of Brian M. Rutherford 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 Brian M. Rutherford. Brian M. Rutherford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 6
2 4
3 7
4 10
5 6
6 5
7 1
8 5
9 4
10
A response-modeling approach to uncertainty characterization and computer experimental design.
2
11 416
12
Description of the Sandia Validation Metrics Project
22
13
A methodology for selecting an optimal experimental design for the computer analysis of a complex system
0
14 70
15
Uncertainty quantification in computational structural dynamics : A new paradigm for model validation
29
16
Uncertainty and error in computational simulations
37
17 1
18
BOOTSTRAP AND RELATED METHODS FOR APPROXIMATE CONFIDENCE BOUNDS IN NONPARAMETRIC REGRESSION.
1
19 64

About Brian M. Rutherford

Brian M. Rutherford is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Computational Theory and Mathematics, having authored 19 papers that have together received 690 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (13 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Optimal Experimental Design Methods (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (345 citations), Computational Theory and Mathematics (163 citations) and Management Science and Operations Research (113 citations). Brian M. Rutherford has collaborated with scholars based in United States and Greece. Frequent co-authors include William L. Oberkampf, K.V. Diegert, K. F. Alvin, Sharon M. Deland, Sidney Yakowitz, Vicente Romero, Angel Urbina, Thomas L. Paez, Kevin J. Dowding and R. G. Hills. Their work appears in journals such as Technometrics, Computer Methods in Applied Mechanics and Engineering and Biopolymers.

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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