Elliot A. Tanis

1.1k citations
19 papers · 743 indexed · h-index 10
Topics
Statistics Education and Methodologies (4 papers)Statistical Distribution Estimation and Applications (3 papers)Advanced Statistical Methods and Models (3 papers)
Partner nations
United StatesAlgeria

In The Last Decade

Elliot A. Tanis

18 papers receiving 690 citations

Peers

Elliot A. Tanis
Comparison fields: 5 of 150
  • Statistics and Probability 221
  • Artificial Intelligence 106
  • Management Science and Operations Research 69
  • Education 62
  • Statistics, Probability and Uncertainty 52
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Citations per field
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Citations per year

Countries citing papers authored by Elliot A. Tanis

Since Specialization
Citations

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

Fields of papers citing papers by Elliot A. Tanis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elliot A. Tanis. 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 Elliot A. Tanis. The network helps show where Elliot A. Tanis may publish in the future.

Co-authorship network of co-authors of Elliot A. Tanis

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1
Probability and Statistical Inference. Ed.9
0
2
A Brief Course in Mathematical Statistics
6
3
Probability and Statistics Explorations with MAPLE
4
4 1
5 38
6 148
7 58
8
Descriptive statistics and probability
1
9 1
10 60
11 59
12 59
13 2
14 229
15 2
16
A Computer Laboratory for Mathematical Probability and Statistics.
2
17 31
18 9
19 33

About Elliot A. Tanis

Elliot A. Tanis is a scholar working on Statistics and Probability, Software and Statistics, Probability and Uncertainty, having authored 19 papers that have together received 743 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (4 papers), Statistical Distribution Estimation and Applications (3 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Statistics and Probability (221 citations), Statistics, Probability and Uncertainty (52 citations) and Management Science and Operations Research (69 citations). Elliot A. Tanis has collaborated with scholars based in United States and Algeria. Frequent co-authors include Robert V. Hogg, S. D. Silvey, Dale S. Borowiak, Peter Heil, W. D. Ray, Roger R. Davidson, D. Vere‐Jones, Zaven A. Karian and Dale L. Zimmerman. Their work appears in journals such as Journal of the American Statistical Association, Technometrics 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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