R. Daniel Meyer

21 papers receiving 1.0k citations

Peers

R. Daniel Meyer
Comparison fields: 5 of 147
  • Management Science and Operations Research 628
  • Statistics and Probability 330
  • Computational Theory and Mathematics 330
  • Statistics, Probability and Uncertainty 254
  • Industrial and Manufacturing Engineering 129
Replace Valerii V. Fedorov with:
Valerii V. Fedorov United States
Robert W. Mee United States
Haihui Huang China
Philippe Weber France
S. M. Lewis United Kingdom
Donald J. Wheeler United States
Peter W. M. John United States
Márcio das Chagas Moura Brazil
Willis A. Jensen United States
R. R. Sitter Canada
R. Daniel Meyer relative to Valerii V. Fedorov United States Valerii V. Fedorov's profile →
Citations per field
00.5×1.5×
Valerii V. Fedorov · 1×
Citations per year

Countries citing papers authored by R. Daniel Meyer

Since Specialization
Citations

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

Fields of papers citing papers by R. Daniel Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Daniel Meyer. 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 R. Daniel Meyer. The network helps show where R. Daniel Meyer may publish in the future.

Co-authorship network of co-authors of R. Daniel Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of R. Daniel Meyer. A scholar is included among the top collaborators of R. Daniel Meyer 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 R. Daniel Meyer. R. Daniel Meyer 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 16
2 14
3 74
4 28
5 46
6 1
7 3
8 9
9 27
10 12
11 41
12 1
13 52
14 119
15
Analysis of unreplicated factorials allowing for possibly faulty observations
8
16 411
17 132
18 83
19
Analysis of Factorial Experiments.
7
20 20

About R. Daniel Meyer

R. Daniel Meyer is a scholar working on Statistics and Probability, Management Science and Operations Research and Molecular Medicine, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (9 papers), Statistical Methods in Clinical Trials (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). The work is most often cited by research in Management Science and Operations Research (628 citations), Statistics and Probability (330 citations) and Statistics, Probability and Uncertainty (254 citations). R. Daniel Meyer has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include George E. P. Box, David M. Steinberg, Paul C. McGovern, Michele Wible, Ahmed El‐Tahtawy, Pinaki Biswas, Feng Gao, John Janiszewski, Sean Ekins and Lodovico Balducci. Their work appears in journals such as Technometrics, Current Opinion in Biotechnology and International Journal of Antimicrobial Agents.

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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