Adrienne W. Kemp

10.9k citations
129 papers · 8.0k indexed · 6 hit papers · h-index 29
Topics
Bayesian Methods and Mixture Models (27 papers)Statistical Distribution Estimation and Applications (22 papers)Mathematical functions and polynomials (10 papers)

In The Last Decade

Adrienne W. Kemp

128 papers receiving 7.4k citations

Hit Papers

Randomization, Bootstrap and Monte Carlo Methods in Biology.19862026199920121997199419862005198750010001.5k

Peers

Adrienne W. Kemp
Comparison fields: 5 of 216
  • Statistics and Probability 1.8k
  • Artificial Intelligence 961
  • Applied Mathematics 889
  • Ecology 829
  • Management Science and Operations Research 649
Replace D. B. Owen with:
D. B. Owen United States
William Feller United States
P. A. P. Moran Australia
David G. Kendall United Kingdom
David A. Freedman United States
I. J. Good United States
Wassily Hoeffding United States
Richard Durrett United States
M. S. Bartlett United Kingdom
Norman L. Johnson United States
Adrienne W. Kemp relative to D. B. Owen United States D. B. Owen's profile →
Citations per field
00.5×5.1×
D. B. Owen · 1×
Citations per year

Countries citing papers authored by Adrienne W. Kemp

Since Specialization
Citations

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

Fields of papers citing papers by Adrienne W. Kemp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrienne W. Kemp. 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 Adrienne W. Kemp. The network helps show where Adrienne W. Kemp may publish in the future.

Co-authorship network of co-authors of Adrienne W. Kemp

This figure shows the co-authorship network connecting the top 25 collaborators of Adrienne W. Kemp. A scholar is included among the top collaborators of Adrienne W. Kemp 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 Adrienne W. Kemp. Adrienne W. Kemp 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 8
2 1
3 6
4 1
5 8
6 17
7 9
8 11
9 34
10 27
11 5
12 41
13 24
14 7
15 23
16 1
17 0
18 3
19 9
20
New information about Na requirements and Na supply for dairy cows.
12

About Adrienne W. Kemp

Adrienne W. Kemp is a scholar working on Statistics and Probability, Mathematical Physics and Applied Mathematics, having authored 129 papers that have together received 8.0k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (27 papers), Statistical Distribution Estimation and Applications (22 papers) and Mathematical functions and polynomials (10 papers). The work is most often cited by research in Statistics and Probability (1.8k citations), Algebra and Number Theory (454 citations) and Applied Mathematics (889 citations). Adrienne W. Kemp has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Bryan F. J. Manly, Norman L. Johnson, Samuel Kotz, J. K. Ord, H. M. Srivastava, H. L. Manocha, Henk Tijms, C. D. Kemp, S. Kotz and S. Kocherlakota. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026