Michael D. McKay

26 papers receiving 13.2k citations

Hit Papers

A Comparison of Three Methods for Selecting Val...1979202619942010200019791979200010002.0k3.0k4.0k5.0k

Peers

Michael D. McKay
Comparison fields: 5 of 199
  • Statistics, Probability and Uncertainty 3.4k
  • Computational Theory and Mathematics 2.9k
  • Civil and Structural Engineering 2.3k
  • Management Science and Operations Research 2.0k
  • Environmental Engineering 1.7k
Replace Richard J. Beckman with:
Richard J. Beckman United States
I. M. Sobol Russia
Francesca Campolongo Italy
Anthony O’Hagan United Kingdom
Max D. Morris United States
Stefano Tarantola Italy
Marco Ratto Italy
J.C. Helton United States
Carl Edward Rasmussen United Kingdom
Andrea Saltelli Italy
Michael D. McKay relative to Richard J. Beckman United States Richard J. Beckman's profile →
Citations per field
00.5×1.5×
Richard J. Beckman · 1×
Citations per year

Countries citing papers authored by Michael D. McKay

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. McKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. McKay. 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 Michael D. McKay. The network helps show where Michael D. McKay may publish in the future.

Co-authorship network of co-authors of Michael D. McKay

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. McKay. A scholar is included among the top collaborators of Michael D. McKay 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 Michael D. McKay. Michael D. McKay 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
#WorkIndexed citations
1 22
2 11
3 25
4 115
5 63
6 1
7
A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Codebreakdown →
5480
8
A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Codebreakdown →
1828
9 24
10 69
11 335
12 40
13 2
14 170
15 32
16 3
17 2
18
Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Codebreakdown →
2431
19
A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Codebreakdown →
2960
20 2

About Michael D. McKay

Michael D. McKay is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Computational Theory and Mathematics, having authored 26 papers that have together received 13.8k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (10 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Optimal Experimental Design Methods (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (3.4k citations), Computational Theory and Mathematics (2.9k citations) and Management Science and Operations Research (2.0k citations). Michael D. McKay has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Richard J. Beckman, W. J. Conover, Keith Baggerly, Brian J. Williams, Katherine Campbell, Leslie M. Moore, J. Morrison, J.C. Helton, Michael S. Hamada and James Coons. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Computer Physics Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026