Douglas G. Simpson

3.1k citations
75 papers · 1.9k indexed · h-index 24

Douglas G. Simpson

71 papers receiving 1.8k citations

Peers

Douglas G. Simpson
Comparison fields: 5 of 154
  • Statistics and Probability 1.1k
  • Statistics, Probability and Uncertainty 455
  • Biomedical Engineering 326
  • Artificial Intelligence 212
  • Radiology, Nuclear Medicine and Imaging 156
Replace Ursula Gather with:
Ursula Gather Germany
M. C. K. Tweedie United Kingdom
Hans Riedwyl Switzerland
Muhammad Amin Pakistan
Annie Qu United States
Sara López‐Pintado United States
Cristian Preda France
Farrukh Jamal Pakistan
A. Goldman United States
Xuming He United States
Douglas G. Simpson relative to Ursula Gather Germany Ursula Gather's profile →
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Countries citing papers authored by Douglas G. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Douglas G. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas G. Simpson. 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 Douglas G. Simpson. The network helps show where Douglas G. Simpson may publish in the future.

Co-authorship network of co-authors of Douglas G. Simpson

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas G. Simpson. A scholar is included among the top collaborators of Douglas G. Simpson 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 Douglas G. Simpson. Douglas G. Simpson 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 0
2 7
3 3
4 48
5 13
6 30
7 6
8 21
9 11
10 5
11 10
12 25
13
Nearest-neighbor variance estimation (NNVE): Robust covariance estimation via nearest-neighbor cleaning - Comment
1
14
A generalized likelihood ratio approach for cluster-correlated data from human fertility studies
2
15 53
16 34
17
INFILL ASYMPTOTICS FOR A STOCHASTIC PROCESS MODEL WITH MEASUREMENT ERROR
38
18 161
19 1
20 6

About Douglas G. Simpson

Douglas G. Simpson is a scholar working on Statistics and Probability, Critical Care and Intensive Care Medicine and Statistics, Probability and Uncertainty, having authored 75 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (21 papers), Ultrasound and Hyperthermia Applications (19 papers) and Statistical Methods and Inference (18 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Statistics, Probability and Uncertainty (455 citations) and Critical Care and Intensive Care Medicine (107 citations). Douglas G. Simpson has collaborated with scholars based in United States, Singapore and Argentina. Frequent co-authors include David Ruppert, Xuming He, Raymond J. Carroll, William D. O’Brien, Barry H. Margolin, Yadolah Dodge, James F. Zachary, Leon A. Frizzell, Stephen Portnoy and J. A. Bietz. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and The FASEB Journal.

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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