Brian M. Rutherford

1.1k total citations
19 papers, 690 citations indexed

About

Brian M. Rutherford is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Brian M. Rutherford has authored 19 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics, Probability and Uncertainty, 8 papers in Computational Theory and Mathematics and 7 papers in Management Science and Operations Research. Recurrent topics in Brian M. Rutherford's work include Probabilistic and Robust Engineering Design (13 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Optimal Experimental Design Methods (4 papers). Brian M. Rutherford is often cited by papers focused on Probabilistic and Robust Engineering Design (13 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Optimal Experimental Design Methods (4 papers). Brian M. Rutherford collaborates with scholars based in United States and Greece. Brian M. Rutherford's 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 and has published in prestigious journals such as Technometrics, Computer Methods in Applied Mechanics and Engineering and Biopolymers.

In The Last Decade

Brian M. Rutherford

18 papers receiving 621 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Brian M. Rutherford United States	8	345	163	137	113	100	19	690
K.V. Diegert United States	7	318 0.9×	125 0.8×	110 0.8×	107 0.9×	70 0.7×	11	618
Sharon M. Deland United States	6	244 0.7×	100 0.6×	92 0.7×	80 0.7×	66 0.7×	6	528
Anoop Mullur United States	11	248 0.7×	354 2.2×	108 0.8×	147 1.3×	77 0.8×	26	646
Steven F. Wojtkiewicz United States	11	536 1.6×	286 1.8×	310 2.3×	176 1.6×	102 1.0×	42	1.0k
Paul D. Arendt United States	8	433 1.3×	299 1.8×	136 1.0×	176 1.6×	56 0.6×	13	638
Ramesh Rebba United States	9	512 1.5×	174 1.1×	277 2.0×	90 0.8×	97 1.0×	15	712
Rui Teixeira Ireland	12	290 0.8×	122 0.7×	203 1.5×	38 0.3×	79 0.8×	34	606
Martin Meckesheimer United States	10	212 0.6×	350 2.1×	83 0.6×	215 1.9×	51 0.5×	13	757
Rhea P. Liem Hong Kong	14	250 0.7×	144 0.9×	95 0.7×	54 0.5×	45 0.5×	52	697
Fuchao Liu China	12	177 0.5×	65 0.4×	106 0.8×	63 0.6×	76 0.8×	67	607

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

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19 of 19 papers shown

Warne, Larry K., et al.. (2013). CONDUCTOR FUSING AND GAPPING FOR BOND WIRES. Progress In Electromagnetics Research M. 31. 199–214. 6 indexed citations

Romero, Vicente, et al.. (2011). Some Statistical Procedures to Refine Estimates of Uncertainty when Sparse Data are Available for Model Validation and Calibration. 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 4 indexed citations

Romero, Vicente, Brian M. Rutherford, Laura Swiler, & Angel Urbina. (2011). An Initial Comparison of Methods for Representing and Aggregating Experimental Uncertainties involving Sparse Data. 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 7 indexed citations

Rutherford, Brian M.. (2008). Computational modeling issues and methods for the “regulatory problem” in engineering – Solution to the thermal problem. Computer Methods in Applied Mechanics and Engineering. 197(29-32). 2480–2489. 10 indexed citations

Rutherford, Brian M.. (2008). Computational modeling issues and methods for the “regulatory problem” in engineering – Solutions to the structural dynamics and static frame problems. Computer Methods in Applied Mechanics and Engineering. 197(29-32). 2632–2644. 6 indexed citations

Rutherford, Brian M.. (2006). A response-modeling alternative to surrogate models for support in computational analyses. Reliability Engineering & System Safety. 91(10-11). 1322–1330. 5 indexed citations

Rutherford, Brian M.. (2006). A response-modeling approach to global optimization and OUU. Optimization and Engineering. 7(3). 367–384. 1 indexed citations

Urbina, Angel, et al.. (2005). Validation of mathematical models : an overview of the process.. Biopolymers. 62(6). 324–35. 5 indexed citations

Rutherford, Brian M.. (2004). A response-modeling approach to characterization and propagation of uncertainty specified over intervals. Reliability Engineering & System Safety. 85(1-3). 211–222. 4 indexed citations

10.

Rutherford, Brian M.. (2003). A response-modeling approach to uncertainty characterization and computer experimental design.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations

11.

Oberkampf, William L., Sharon M. Deland, Brian M. Rutherford, K.V. Diegert, & K. F. Alvin. (2002). Error and uncertainty in modeling and simulation. Reliability Engineering & System Safety. 75(3). 333–357. 416 indexed citations

12.

Trucano, T.G., Robert G. Easterling, Kevin J. Dowding, et al.. (2001). Description of the Sandia Validation Metrics Project. University of North Texas Digital Library (University of North Texas). 22 indexed citations

13.

Rutherford, Brian M.. (2000). A methodology for selecting an optimal experimental design for the computer analysis of a complex system. Technometrics.

14.

Oberkampf, William L., Sharon M. Deland, Brian M. Rutherford, K.V. Diegert, & K. F. Alvin. (1999). A new methodology for the estimation of total uncertainty in computational simulation. 40th Structures, Structural Dynamics, and Materials Conference and Exhibit. 70 indexed citations

15.

Alvin, K. F., William L. Oberkampf, K.V. Diegert, & Brian M. Rutherford. (1998). Uncertainty quantification in computational structural dynamics : A new paradigm for model validation. 3243. 1191–1198. 29 indexed citations

16.

Oberkampf, William L., K.V. Diegert, K. F. Alvin, & Brian M. Rutherford. (1997). Uncertainty and error in computational simulations. University of North Texas Digital Library (University of North Texas). 37 indexed citations

17.

Rutherford, Brian M. & S. Yakowitz. (1991). Error inference for nonparametric regression. Annals of the Institute of Statistical Mathematics. 43(1). 115–129. 1 indexed citations

18.

Rutherford, Brian M.. (1986). BOOTSTRAP AND RELATED METHODS FOR APPROXIMATE CONFIDENCE BOUNDS IN NONPARAMETRIC REGRESSION.. UA Campus Repository (The University of Arizona). 1 indexed citations

19.

Yakowitz, Sidney & Brian M. Rutherford. (1984). Computational aspects of discrete-time optimal control. Applied Mathematics and Computation. 15(1). 29–45. 64 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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