David B. Duncan

28.3k citations
40 papers · 23.7k indexed · 4 hit papers · h-index 19
Topics
Advanced Statistical Methods and Models (9 papers)Optimal Experimental Design Methods (8 papers)Statistical Methods in Clinical Trials (5 papers)

In The Last Decade

David B. Duncan

37 papers receiving 19.6k citations

Hit Papers

Multiple Range and Multiple F Tests195520261978200219551967195719695.0k10.0k15.0k

Peers

David B. Duncan
Comparison fields: 5 of 229
  • Plant Science 6.8k
  • Animal Science and Zoology 6.1k
  • Molecular Biology 2.9k
  • Aquatic Science 2.4k
  • Food Science 2.4k
Replace R. G. D. Steel with:
R. G. D. Steel United States
J. H. Torrie United States
H. F. Robinson United States
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Jun Wang China
José M. Lorenzo Spain
Björn Usadel Germany
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David B. Duncan relative to R. G. D. Steel United States R. G. D. Steel's profile →
Citations per field
00.5×1.5×
R. G. D. Steel · 1×
Citations per year

Countries citing papers authored by David B. Duncan

Since Specialization
Citations

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

Fields of papers citing papers by David B. Duncan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Duncan. 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 David B. Duncan. The network helps show where David B. Duncan may publish in the future.

Co-authorship network of co-authors of David B. Duncan

This figure shows the co-authorship network connecting the top 25 collaborators of David B. Duncan. A scholar is included among the top collaborators of David B. Duncan 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 David B. Duncan. David B. Duncan 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 2
2
Heterogeneity of cerebral hemodynamics and metabolism in carotid artery disease.
3
3 26
4 1
5 7
6 2
7 8
8 134
9 8
10 18
11 14
12 29
13 5
14 7
15 130
16 6
17 141
18 35
19
Multiple Range Tests for Correlated and Heteroscedastic Meansbreakdown →
864
20
Multiple Range and Multiple F Testsbreakdown →
19348

About David B. Duncan

David B. Duncan is a scholar working on Statistics and Probability, Management Science and Operations Research and Architecture, having authored 40 papers that have together received 23.7k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (9 papers), Optimal Experimental Design Methods (8 papers) and Statistical Methods in Clinical Trials (5 papers). The work is most often cited by research in Animal Science and Zoology (6.1k citations), Aquatic Science (2.4k citations) and Agronomy and Crop Science (2.2k citations). David B. Duncan has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Strother H. Walker, Ray A. Waller, Susan D. Horn, Roger A. Horn, Marvin A. Sackner, Dennis O. Dixon, R. Bégin, R Levinson, Murray Epstein and Richard H. Jones. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Journal of Hazardous Materials.

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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