D. Stephen Coad

467 total citations
35 papers, 302 citations indexed

About

D. Stephen Coad is a scholar working on Statistics and Probability, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, D. Stephen Coad has authored 35 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 21 papers in Management Science and Operations Research and 5 papers in Economics and Econometrics. Recurrent topics in D. Stephen Coad's work include Statistical Methods in Clinical Trials (28 papers), Optimal Experimental Design Methods (19 papers) and Statistical Methods and Bayesian Inference (12 papers). D. Stephen Coad is often cited by papers focused on Statistical Methods in Clinical Trials (28 papers), Optimal Experimental Design Methods (19 papers) and Statistical Methods and Bayesian Inference (12 papers). D. Stephen Coad collaborates with scholars based in United Kingdom, United States and India. D. Stephen Coad's co-authors include Michael Woodroofe, William F. Rosenberger, Anastasia Ivanova, Andrew Damant, Roger Wood, Michael H. Ramsey, Caroline Morgan, Yolanda Barbáchano, J. A. Bather and Z. Govindarajulu and has published in prestigious journals such as Biometrika, Statistics in Medicine and The Analyst.

In The Last Decade

D. Stephen Coad

34 papers receiving 286 citations

Peers

D. Stephen Coad
Comparison fields: 5 of 71
  • Statistics and Probability 230
  • Management Science and Operations Research 142
  • Statistics, Probability and Uncertainty 39
  • Economics and Econometrics 38
  • Food Science 31
Replace Chihiro Hirotsu with:
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Tamar Gadrich Israel
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H. I. Patel United States
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Chihiro Hirotsu Japan View profile →
Citations per field, relative to D. Stephen Coad
D. Stephen Coad · 1×
Citations per year, relative to D. Stephen Coad
D. Stephen Coad · 1×

Countries citing papers authored by D. Stephen Coad

Since Specialization
Citations

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

Fields of papers citing papers by D. Stephen Coad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Stephen Coad

This figure shows the co-authorship network connecting the top 25 collaborators of D. Stephen Coad. A scholar is included among the top collaborators of D. Stephen Coad 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 D. Stephen Coad. D. Stephen Coad 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 0
2 2
3 1
4 4
5 4
6 44
7 12
8 13
9 2
10 8
11 1
12 16
13 7
14 25
15 15
16 11
17 14
18 12
19 19
20 6

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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