Stephen M. Scariano

679 citations
35 papers · 520 indexed · h-index 11
Topics
Advanced Statistical Process Monitoring (15 papers)Scientific Measurement and Uncertainty Evaluation (9 papers)Advanced Statistical Methods and Models (6 papers)

In The Last Decade

Stephen M. Scariano

31 papers receiving 488 citations

Peers

Stephen M. Scariano
Comparison fields: 5 of 113
  • Statistics, Probability and Uncertainty 320
  • Statistics and Probability 202
  • Control and Systems Engineering 88
  • Management Science and Operations Research 77
  • Economics and Econometrics 47
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Citations per field
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Citations per year

Countries citing papers authored by Stephen M. Scariano

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Scariano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Scariano. 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 Stephen M. Scariano. The network helps show where Stephen M. Scariano may publish in the future.

Co-authorship network of co-authors of Stephen M. Scariano

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Scariano. A scholar is included among the top collaborators of Stephen M. Scariano 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 Stephen M. Scariano. Stephen M. Scariano 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
The benefits of teaching Inverse Regression alongside Least Squares Regression: Graphical and numerical comparisons
0
2 1
3
Is the home-field advantage in limited overs one-day international cricket only for day matches?
5
4 118
5 46
6 0
7 4
8
Three Perspectives on Teaching Least Squares.
1
9 1
10 7
11
Contrasting Total Least Squares with Ordinary Least Squares Part II: Examples and Comparisons
2
12 23
13 2
14
The Role of the Graphing Calculator in the Basic Skills Mathematics Curriculum
3
15 1
16 6
17 1
18 23
19 6
20 4

About Stephen M. Scariano

Stephen M. Scariano is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Medical Laboratory Technology, having authored 35 papers that have together received 520 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (15 papers), Scientific Measurement and Uncertainty Evaluation (9 papers) and Advanced Statistical Methods and Models (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (320 citations), Medical Laboratory Technology (42 citations) and Statistics and Probability (202 citations). Stephen M. Scariano has collaborated with scholars based in United States, Algeria and Sri Lanka. Frequent co-authors include Maria E. Calzada, James M. Davenport, Gemai Chen, Dean M. Young and Di Gao. Their work appears in journals such as American Journal of Physics, The American Statistician and Journal of Statistical Computation and Simulation.

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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