Lewis H. Shoemaker

1.1k citations
13 papers · 766 indexed · 1 hit paper · h-index 7
Topics
Advanced Statistical Methods and Models (7 papers)Statistical Methods and Bayesian Inference (4 papers)Statistical Distribution Estimation and Applications (4 papers)
Partner nations
United StatesJapan

In The Last Decade

Lewis H. Shoemaker

12 papers receiving 734 citations

Hit Papers

Order Restricted Statistical Inference19902026200220141990100200300400500

Peers

Lewis H. Shoemaker
Comparison fields: 5 of 107
  • Statistics and Probability 559
  • Management Science and Operations Research 203
  • Artificial Intelligence 131
  • Statistics, Probability and Uncertainty 112
  • Economics and Econometrics 46
Replace Arthur P. Dempster with:
Arthur P. Dempster United States
Herbert A. David United States
Harold B. Sackrowitz United States
Radu Theodorescu Canada
W. H. Williams United States
Hannes Leeb Austria
Jayaram Sethuraman United States
V. R. R. Uppuluri United States
Donald B. Owen United States
Constance van Eeden Canada
Lewis H. Shoemaker relative to Arthur P. Dempster United States Arthur P. Dempster's profile →
Citations per field
00.5×4.5×
Arthur P. Dempster · 1×
Citations per year

Countries citing papers authored by Lewis H. Shoemaker

Since Specialization
Citations

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

Fields of papers citing papers by Lewis H. Shoemaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lewis H. Shoemaker. 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 Lewis H. Shoemaker. The network helps show where Lewis H. Shoemaker may publish in the future.

Co-authorship network of co-authors of Lewis H. Shoemaker

This figure shows the co-authorship network connecting the top 25 collaborators of Lewis H. Shoemaker. A scholar is included among the top collaborators of Lewis H. Shoemaker 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 Lewis H. Shoemaker. Lewis H. Shoemaker 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
#WorkIndexed citations
1 1
2 46
3 11
4 6
5 15
6 147
7 2
8
Order Restricted Statistical Inferencebreakdown →
504
9 5
10 3
11 2
12 1
13 23

About Lewis H. Shoemaker

Lewis H. Shoemaker is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 13 papers that have together received 766 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (7 papers), Statistical Methods and Bayesian Inference (4 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in Statistics and Probability (559 citations), Management Science and Operations Research (203 citations) and Statistics, Probability and Uncertainty (112 citations). Lewis H. Shoemaker has collaborated with scholars based in United States and Japan. Frequent co-authors include Tim Robertson, Thomas P. Hettmansperger and James L. Rosenberger. Their work appears in journals such as Technometrics, Biometrika and The American Statistician.

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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