Shane P. Pederson

769 total citations
13 papers, 546 citations indexed

About

Shane P. Pederson is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Finance. According to data from OpenAlex, Shane P. Pederson has authored 13 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics, Probability and Uncertainty, 6 papers in Statistics and Probability and 3 papers in Finance. Recurrent topics in Shane P. Pederson's work include Statistical Methods and Inference (6 papers), Advanced Statistical Process Monitoring (4 papers) and Statistical and numerical algorithms (2 papers). Shane P. Pederson is often cited by papers focused on Statistical Methods and Inference (6 papers), Advanced Statistical Process Monitoring (4 papers) and Statistical and numerical algorithms (2 papers). Shane P. Pederson collaborates with scholars based in United States and United Kingdom. Shane P. Pederson's co-authors include Iain L. MacDonald, Walter Zucchini, Raymond J. Carroll, M. Johnson, Tom Booth, Suresh K. Nair, Marina Danilevsky, Daniel D. Garcia‐Swartz, Hui Wang and Martin Campbell‐Kelly and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Shane P. Pederson

12 papers receiving 516 citations

Peers

Shane P. Pederson
Richard M. Brugger United States
Alexander Basilevsky Canada
W. H. Williams United States
Herbert A. David United States
Elliot A. Tanis United States
Mark F. Schilling United States
Hans Schneeweiß Germany
George E. Policello United States
Yuchung J. Wang United States
Anoop Chaturvedi India
Richard M. Brugger United States
Shane P. Pederson
Citations per year, relative to Shane P. Pederson Shane P. Pederson (= 1×) peers Richard M. Brugger

Countries citing papers authored by Shane P. Pederson

Since Specialization
Citations

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

Fields of papers citing papers by Shane P. Pederson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shane P. Pederson. 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 Shane P. Pederson. The network helps show where Shane P. Pederson may publish in the future.

Co-authorship network of co-authors of Shane P. Pederson

This figure shows the co-authorship network connecting the top 25 collaborators of Shane P. Pederson. A scholar is included among the top collaborators of Shane P. Pederson 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 Shane P. Pederson. Shane P. Pederson 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
1.
Campbell‐Kelly, Martin, Marina Danilevsky, Daniel D. Garcia‐Swartz, & Shane P. Pederson. (2010). Clustering in the Creative Industries: Insights from the Origins of Computer Software. Industry and Innovation. 17(3). 309–329. 16 indexed citations
2.
Pederson, Shane P., et al.. (2003). Managing Credit Lines and Prices for Bank One Credit Cards. INFORMS Journal on Applied Analytics. 33(5). 4–21. 23 indexed citations
3.
Pederson, Shane P.. (1998). Hidden Markov and Other Models for Discretevalued Time Serie. Technometrics. 40(3). 263–263. 1 indexed citations
4.
Pederson, Shane P., Iain L. MacDonald, & Walter Zucchini. (1998). Hidden Markov and Other Models for Discrete-Valued Time Series. Technometrics. 40(3). 263–263. 291 indexed citations
5.
Pederson, Shane P., et al.. (1997). Confidence Interval Procedures for Monte Carlo Transport Simulations. Nuclear Science and Engineering. 127(1). 54–77. 17 indexed citations
6.
Booth, Tom, et al.. (1994). Ten new checks to assess the statistical quality of Monte Carlo solutions in MCNP. University of North Texas Digital Library (University of North Texas). 1 indexed citations
7.
Carroll, Raymond J. & Shane P. Pederson. (1993). On Robustness in the Logistic Regression Model. Journal of the Royal Statistical Society Series B (Statistical Methodology). 55(3). 693–706. 126 indexed citations
8.
Pederson, Shane P., et al.. (1992). Two proposed convergence criteria for Monte Carlo solutions. Transactions of the American Nuclear Society. 66. 2 indexed citations
9.
Booth, Tom & Shane P. Pederson. (1992). Unbiased Combinations of Nonanalog Monte Carlo Techniques and Fair Games. Nuclear Science and Engineering. 110(3). 254–261. 5 indexed citations
10.
Booth, Tom & Shane P. Pederson. (1990). Unbiased combinations of nonanalog Monte Carlo techniques and fair games. Progress in Nuclear Energy. 24(1-3). 21–25. 2 indexed citations
11.
Pederson, Shane P. & M. Johnson. (1990). Estimating Model Discrepancy. Technometrics. 32(3). 305–314. 28 indexed citations
12.
Pederson, Shane P. & M. Johnson. (1990). Estimating Model Discrepancy. Technometrics. 32(3). 305–305. 33 indexed citations
13.
Pederson, Shane P., et al.. (1988). The Analysis of Linear Models.. Journal of the American Statistical Association. 83(401). 271–271. 1 indexed citations

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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2026