Ann F. S. Mitchell

412 citations
12 papers · 274 indexed · h-index 6
Co-authors
W. J. Krzanowski
Topics
Advanced Statistical Methods and Models (6 papers)Statistical Distribution Estimation and Applications (3 papers)Bayesian Methods and Mixture Models (3 papers)

In The Last Decade

Ann F. S. Mitchell

12 papers receiving 247 citations

Peers

Ann F. S. Mitchell
Comparison fields: 5 of 57
  • Statistics and Probability 172
  • Artificial Intelligence 73
  • Finance 37
  • Statistics, Probability and Uncertainty 36
  • Management Science and Operations Research 30
Replace Somesh Das Gupta with:
Somesh Das Gupta United States
Wolfgang Wertz Austria
Y. Fujikoshi Japan
Yoshihiko Konno Japan
R. H. Farrell United States
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Yu. V. Borovskich Ukraine
A. W. Bowman United Kingdom
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Ann F. S. Mitchell relative to Somesh Das Gupta United States Somesh Das Gupta's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ann F. S. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Ann F. S. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann F. S. Mitchell. 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 Ann F. S. Mitchell. The network helps show where Ann F. S. Mitchell may publish in the future.

Co-authorship network of co-authors of Ann F. S. Mitchell

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 4
2 174
3 10
4 2
5 2
6 21
7 42
8 3
9 2
10
Exponential regression with correlated observations.
5
11 3
12 6

About Ann F. S. Mitchell

Ann F. S. Mitchell is a scholar working on Statistics and Probability, Applied Mathematics and Algebra and Number Theory, having authored 12 papers that have together received 274 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (6 papers), Statistical Distribution Estimation and Applications (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Statistics and Probability (172 citations), Statistics, Probability and Uncertainty (36 citations) and Finance (37 citations). Ann F. S. Mitchell has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include W. J. Krzanowski. Their work appears in journals such as Journal of the American Statistical Association, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

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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