Caroline Morgan

1.2k total citations
13 papers, 260 citations indexed

About

Caroline Morgan is a scholar working on Statistics and Probability, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Caroline Morgan has authored 13 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 4 papers in Computational Theory and Mathematics and 4 papers in Management Science and Operations Research. Recurrent topics in Caroline Morgan's work include Statistical Methods in Clinical Trials (8 papers), Computational Drug Discovery Methods (4 papers) and Biosimilars and Bioanalytical Methods (3 papers). Caroline Morgan is often cited by papers focused on Statistical Methods in Clinical Trials (8 papers), Computational Drug Discovery Methods (4 papers) and Biosimilars and Bioanalytical Methods (3 papers). Caroline Morgan collaborates with scholars based in Australia, United Kingdom and United States. Caroline Morgan's co-authors include Sodiomon B. Sirima, Alun Bedding, D. Stephen Coad, Li Chen, Christopher S. Coffey, Brenda Gaydos, Martin Jenkins, Susan Huyck, J. Kyle Wathen and Amadou T. Konaté and has published in prestigious journals such as Statistics in Medicine, Experimental Biology and Medicine and Malaria Journal.

In The Last Decade

Caroline Morgan

13 papers receiving 250 citations

Peers

Caroline Morgan
Comparison fields: 5 of 59
  • Statistics and Probability 107
  • Public Health, Environmental and Occupational Health 100
  • Economics and Econometrics 59
  • Computational Theory and Mathematics 44
  • Management Science and Operations Research 44
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Citations per field, relative to Caroline Morgan
Caroline Morgan · 1×
Citations per year, relative to Caroline Morgan
Caroline Morgan · 1×

Countries citing papers authored by Caroline Morgan

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Morgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Morgan. 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 Caroline Morgan. The network helps show where Caroline Morgan may publish in the future.

Co-authorship network of co-authors of Caroline Morgan

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Morgan. A scholar is included among the top collaborators of Caroline Morgan 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 Caroline Morgan. Caroline Morgan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 10
2 9
3 46
4 9
5 12
6 29
7 53
8 51
9 13
10 15
11 6
12
Census small area statistics (SAS): measuring change and spatial variation.
4
13 3

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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