Maura E. Stokes

609 citations
17 papers · 421 indexed · h-index 10

Maura E. Stokes

16 papers receiving 362 citations

Peers

Maura E. Stokes
Comparison fields: 5 of 137
  • Statistics and Probability 146
  • Management Science and Operations Research 53
  • Statistics, Probability and Uncertainty 23
  • Applied Psychology 9
  • Insect Science 19
Replace June M. Juritz with:
June M. Juritz South Africa
Van Zyl South Africa
E. Walker United States
R. R. Corbeil United States
William H. Stewart United States
Saima Altaf Pakistan
T.J. Terpstra Netherlands
Ori Davidov Israel
Andreas Berg New Zealand
A.M. Liebetrau United States
Maura E. Stokes relative to June M. Juritz South Africa June M. Juritz's profile →
Citations per field
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June M. Juritz · 1×
Citations per year

Countries citing papers authored by Maura E. Stokes

Since Specialization
Citations

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

Fields of papers citing papers by Maura E. Stokes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maura E. Stokes. 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 Maura E. Stokes. The network helps show where Maura E. Stokes may publish in the future.

Co-authorship network

The 20 scholars most cited alongside Maura E. Stokes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maura E. Stokes Line = papers co-authored together Maura E. Stokes links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Current Directions in SAS/STAT ® Software Development
20131
2
Categorical Data Analysis Using SAS
2012126
3
Look Out: After SAS/STAT ® 9.3 Comes SAS/STAT 12.1!
20121
4
Up To Speed With Categorical Data Analysis
20111
5
Categorical data analysis using the sas® system, 2nd edition
200072
6 19983
7
Recent Enhancements and New Directions in SAS/STAT ® Software, Part II. Nonparametric Modeling Procedures
19989
8
Recent Enhancements and New Directions in SAS/STAT ® Software, Part I: Updates
19981
9 19901
10 19908
11 198710
12 198312
13 198312
14 198238
15 198150
16 198049
17 198027

About Maura E. Stokes

Maura E. Stokes is a scholar working on Statistics and Probability, Food Science and Management Science and Operations Research, having authored 17 papers that have together received 421 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (9 papers), Advanced Statistical Methods and Models (7 papers), Statistical Methods and Applications (3 papers), Statistical Methods and Inference (2 papers), Sensory Analysis and Statistical Methods (2 papers), Healthcare Policy and Management (1 paper), Pesticide Residue Analysis and Safety (1 paper) and Bayesian Methods and Mixture Models (1 paper). The work is most often cited by research in Statistics and Probability (146 citations), Management Science and Operations Research (53 citations) and Statistics, Probability and Uncertainty (23 citations). Maura E. Stokes has collaborated with scholars based in United States. Frequent co-authors include Gary G. Koch, Charles S. Davis, Dennis B. Gillings, Peter B. Imrey, H. Dennis Tolley, J. N. Darroch, Daniel Freeman, Ingrid A. Amara, Robert N. Rodriguez and K Semenya.

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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