Todd C. Headrick

1.0k total citations
50 papers, 721 citations indexed

About

Todd C. Headrick is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Todd C. Headrick has authored 50 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Statistics and Probability, 11 papers in Management Science and Operations Research and 10 papers in Statistics, Probability and Uncertainty. Recurrent topics in Todd C. Headrick's work include Statistical Distribution Estimation and Applications (29 papers), Statistical Methods and Bayesian Inference (21 papers) and Advanced Statistical Methods and Models (16 papers). Todd C. Headrick is often cited by papers focused on Statistical Distribution Estimation and Applications (29 papers), Statistical Methods and Bayesian Inference (21 papers) and Advanced Statistical Methods and Models (16 papers). Todd C. Headrick collaborates with scholars based in United States, New Zealand and Canada. Todd C. Headrick's co-authors include Shlomo S. Sawilowsky, Rhonda K. Kowalchuk, Yanyan Sheng, Bruno D. Zumbo, David K. Duys, Flaviu A. Hodis, T. Mark Beasley, George H. Vineyard, Tzu‐Chun Kuo and Patricia B. Elmore and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Statistical Software and Psychometrika.

In The Last Decade

Todd C. Headrick

47 papers receiving 669 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Todd C. Headrick United States 14 505 170 123 115 82 50 721
Nabendu Pal United States 16 412 0.8× 64 0.4× 97 0.8× 102 0.9× 43 0.5× 75 626
Alan M. Polansky United States 14 287 0.6× 152 0.9× 274 2.2× 81 0.7× 33 0.4× 41 686
Herbert Büning Germany 13 311 0.6× 78 0.5× 107 0.9× 65 0.6× 17 0.2× 30 629
Hirokazu Yanagihara Japan 17 500 1.0× 91 0.5× 38 0.3× 149 1.3× 25 0.3× 91 804
Éric Marchand Canada 15 471 0.9× 86 0.5× 163 1.3× 114 1.0× 23 0.3× 66 656
Matías Salibián‐Barrera Canada 17 513 1.0× 49 0.3× 261 2.1× 94 0.8× 22 0.3× 36 810
Donald B. Owen United States 11 292 0.6× 122 0.7× 225 1.8× 60 0.5× 25 0.3× 16 660
C. P. Quesenberry United States 13 378 0.7× 95 0.6× 218 1.8× 87 0.8× 24 0.3× 23 581
Klaus L. P. Vasconcellos Brazil 12 410 0.8× 58 0.3× 98 0.8× 79 0.7× 28 0.3× 33 537
Daniel J. Nordman United States 16 261 0.5× 42 0.2× 47 0.4× 150 1.3× 31 0.4× 69 658

Countries citing papers authored by Todd C. Headrick

Since Specialization
Citations

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

Fields of papers citing papers by Todd C. Headrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd C. Headrick. 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 Todd C. Headrick. The network helps show where Todd C. Headrick may publish in the future.

Co-authorship network of co-authors of Todd C. Headrick

This figure shows the co-authorship network connecting the top 25 collaborators of Todd C. Headrick. A scholar is included among the top collaborators of Todd C. Headrick 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 Todd C. Headrick. Todd C. Headrick 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
1.
Sheng, Yanyan, et al.. (2022). Derivation of the percentile based Tukey distributions. Behaviormetrika. 49(1). 149–163.
2.
Headrick, Todd C., et al.. (2013). A Method for Simulating Burr Type III and Type XII Distributions through -Moments and -Correlations. UTA ResearchCommons (University of Texas Arlington). 2013. 1–14. 11 indexed citations
3.
Headrick, Todd C., et al.. (2013). An L-Moment Based Characterization of the Family of Dagum Distributions. OpenSIUC (Southern Illinois University Carbondale). 2(3). 1–3. 3 indexed citations
4.
Headrick, Todd C., et al.. (2012). On the Order Statistics of Standard Normal-Based Power Method Distributions. UTA ResearchCommons (University of Texas Arlington). 2012. 1–13. 6 indexed citations
5.
Headrick, Todd C., et al.. (2012). A Method for Simulating Nonnormal Distributions with SpecifiedL-Skew,L-Kurtosis, andL-Correlation. SHILAP Revista de lepidopterología. 2012. 1–23. 8 indexed citations
6.
Headrick, Todd C., et al.. (2012). Characterizing Tukey and -Distributions through -Moments and the -Correlation. SHILAP Revista de lepidopterología. 2012. 1–20. 7 indexed citations
7.
Headrick, Todd C., et al.. (2012). AnL-Moment-Based Analog for the Schmeiser-Deutsch Class of Distributions. UTA ResearchCommons (University of Texas Arlington). 2012. 1–16. 2 indexed citations
8.
Headrick, Todd C., et al.. (2012). A Doubling Method for the Generalized Lambda Distribution. SHILAP Revista de lepidopterología. 2012. 1–19. 3 indexed citations
9.
Headrick, Todd C., et al.. (2012). A Logistic -Moment-Based Analog for the Tukey -, , , and - System of Distributions. UTA ResearchCommons (University of Texas Arlington). 2012. 1–23. 5 indexed citations
10.
Sheng, Yanyan & Todd C. Headrick. (2012). A Gibbs Sampler for the Multidimensional Item Response Model. 2012. 1–14. 9 indexed citations
11.
Headrick, Todd C., et al.. (2012). A Doubling Technique for the Power Method Transformations. Applied mathematical sciences. 6(130). 6437–6475. 2 indexed citations
12.
Headrick, Todd C., et al.. (2010). A Comparative Analysis of the Bootstrap versus Traditional Statistical Procedures Applied to Digital Analysis Based on Benford's Law. e-Publications@Marquette (Marquette University). 46(4). 911–914. 3 indexed citations
13.
Headrick, Todd C., et al.. (2010). On Simulating Univariate and Multivariate Burr Type III and Type XII Distributions. Applied mathematical sciences. 4(45). 2207–2240. 11 indexed citations
14.
Headrick, Todd C., et al.. (2008). Simulating Controlled Variate and Rank Correlations Based on the Power Method Transformation. Communications in Statistics - Simulation and Computation. 37(3). 602–616. 4 indexed citations
15.
Headrick, Todd C., Rhonda K. Kowalchuk, & Yanyan Sheng. (2008). Parametric Probability Densities and Distribution Functions for Tukey g -and- h Transformations and their Use for Fitting Data. Applied mathematical sciences. 2(9). 449–462. 31 indexed citations
16.
Sheng, Yanyan & Todd C. Headrick. (2007). JMASM27: An Algorithm for Implementing Gibbs Sampling for 2PNO IRT Models (Fortran). Journal of Modern Applied Statistical Methods. 6(1). 341–249. 4 indexed citations
17.
Headrick, Todd C.. (2004). On Polynomial Transformations For Simulating Multivariate Non-normal Distributions. Journal of Modern Applied Statistical Methods. 3(1). 65–71. 8 indexed citations
18.
Headrick, Todd C.. (2003). JMASM6: An Algorithm For Generating Exact Critical Values For the Kruskal-Wallis One-Way ANOVA. Journal of Modern Applied Statistical Methods. 2(1). 268–271. 3 indexed citations
19.
Headrick, Todd C.. (2002). JMASM3: A Method for Simulating Systems of Correlated Binary Data. Journal of Modern Applied Statistical Methods. 1(1). 195–201. 1 indexed citations
20.
Headrick, Todd C. & Shlomo S. Sawilowsky. (2000). Properties of the rank transformation in factorial analysis of covariance. Communications in Statistics - Simulation and Computation. 29(4). 1059–1087. 29 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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