Carl N. Morris

11.3k citations
96 papers · 7.6k indexed · 4 hit papers · h-index 31

Carl N. Morris

94 papers receiving 6.7k citations

Hit Papers

A Comparison of Alternative Models for the Demand for Med...19732026199020081983198319731975250500750

Peers

Carl N. Morris
Comparison fields: 5 of 193
  • Statistics and Probability 3.2k
  • Economics and Econometrics 2.3k
  • General Health Professions 1.4k
  • Artificial Intelligence 1.2k
  • Management Science and Operations Research 729
Replace Thomas A. Louis with:
Thomas A. Louis United States
Maureen Lahiff United States
Niels Keiding Denmark
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Carl N. Morris relative to Thomas A. Louis United States Thomas A. Louis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Carl N. Morris

Since Specialization
Citations

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

Fields of papers citing papers by Carl N. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carl N. Morris. 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 Carl N. Morris. The network helps show where Carl N. Morris may publish in the future.

Co-authorship network of co-authors of Carl N. Morris

This figure shows the co-authorship network connecting the top 25 collaborators of Carl N. Morris. A scholar is included among the top collaborators of Carl N. Morris 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 Carl N. Morris. Carl N. Morris 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 4
2 5
3 1
4
The science of Bradley Efron : selected papers
1
5 14
6 4
7 82
8 74
9 114
10 13
11 49
12 3
13 3
14 3
15
Some Interim Results from a Controlled Trial in Health Insurance
3
16 344
17
Interval estimation for empirical Bayes generalizations of Stein's estimator
12
18 111
19
Data Analysis Using Stein's Estimator and its Generalizationsbreakdown →
548
20
Stein's Estimation Rule and its Competitors—An Empirical Bayes Approachbreakdown →
549

About Carl N. Morris

Carl N. Morris is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 96 papers that have together received 7.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (28 papers), Advanced Statistical Methods and Models (13 papers) and Statistical Methods and Inference (12 papers). The work is most often cited by research in Statistics and Probability (3.2k citations), Statistics, Probability and Uncertainty (595 citations) and Economics and Econometrics (2.3k citations). Carl N. Morris has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Bradley Efron, Joseph P. Newhouse, Willard G. Manning, Naihua Duan, Claus Christiansen, B. Efron, Robert H. Brook, M. Susan Marquis, Emmett B. Keeler and Arleen Leibowitz. Their work appears in journals such as New England Journal of Medicine, Journal of the American Statistical Association and Endocrine Reviews.

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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