William A. Brenneman

536 total citations
24 papers, 361 citations indexed

About

William A. Brenneman is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, William A. Brenneman has authored 24 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 11 papers in Statistics, Probability and Uncertainty and 7 papers in Statistics and Probability. Recurrent topics in William A. Brenneman's work include Optimal Experimental Design Methods (12 papers), Advanced Statistical Process Monitoring (8 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). William A. Brenneman is often cited by papers focused on Optimal Experimental Design Methods (12 papers), Advanced Statistical Process Monitoring (8 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). William A. Brenneman collaborates with scholars based in United States, Netherlands and Canada. William A. Brenneman's co-authors include William R. Myers, Shan Ba, Raymond H. Myers, Vijayan N. Nair, Lulu Kang, V. Roshan Joseph, Hao Yan, Timothy J. Robinson, David Birnbaum and A. Krishna and has published in prestigious journals such as Technometrics, Infection Control and Hospital Epidemiology and Journal of Quality Technology.

In The Last Decade

William A. Brenneman

24 papers receiving 338 citations

Peers

William A. Brenneman
Comparison fields: 5 of 112
  • Management Science and Operations Research 165
  • Computational Theory and Mathematics 117
  • Statistics, Probability and Uncertainty 103
  • Industrial and Manufacturing Engineering 59
  • Artificial Intelligence 41
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Citations per field, relative to William A. Brenneman
William A. Brenneman · 1×
Citations per year, relative to William A. Brenneman
William A. Brenneman · 1×

Countries citing papers authored by William A. Brenneman

Since Specialization
Citations

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

Fields of papers citing papers by William A. Brenneman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William A. Brenneman. 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 William A. Brenneman. The network helps show where William A. Brenneman may publish in the future.

Co-authorship network of co-authors of William A. Brenneman

This figure shows the co-authorship network connecting the top 25 collaborators of William A. Brenneman. A scholar is included among the top collaborators of William A. Brenneman 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 William A. Brenneman. William A. Brenneman 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
# Work Indexed citations
1 3
2 3
3 23
4 3
5 7
6 10
7 105
8 10
9 5
10 3
11 7
12 2
13 11
14 56
15 4
16 40
17 15
18 25
19
Inference for location and dispersion effects in unreplicated factorial experiments.
1
20 1

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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