William Stout

7.2k total citations · 2 hit papers
65 papers, 4.7k citations indexed

About

William Stout is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Statistics and Probability. According to data from OpenAlex, William Stout has authored 65 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Management Science and Operations Research, 27 papers in Computer Networks and Communications and 15 papers in Statistics and Probability. Recurrent topics in William Stout's work include Psychometric Methodologies and Testing (29 papers), Advanced Statistical Modeling Techniques (27 papers) and Probability and Risk Models (13 papers). William Stout is often cited by papers focused on Psychometric Methodologies and Testing (29 papers), Advanced Statistical Modeling Techniques (27 papers) and Probability and Risk Models (13 papers). William Stout collaborates with scholars based in United States, Netherlands and Taiwan. William Stout's co-authors include Louis A. Roussos, Robin T. Shealy, Walter Philipp, Jinming Zhang, Ratna Nandakumar, Hsin-Hung Li, Gordon Simons, Jeffrey A. Douglas, Stamatis Cambanis and Hua‐Hua Chang and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Wildlife Management and Psychometrika.

In The Last Decade

William Stout

61 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Almost Sure Convergence.

1975 876 citations William Stout et al. profile →
A Model-Based Standardization Approach that Separates True Bias/DIF from Group Ability Differences and Detects Test Bias/DTF as well as Item Bias/DIF

1993 513 citations William Stout et al. Psychometrika profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Stout United States	29	2.6k	1.4k	1.3k	618	540	65	4.7k
Shelby J. Haberman United States	34	1.4k 0.5×	1.8k 1.3×	680 0.5×	63 0.1×	271 0.5×	187	4.7k
Eiji Muraki United States	16	1.5k 0.6×	893 0.7×	763 0.6×	35 0.1×	354 0.7×	33	3.3k
Arndt Bröder Germany	34	730 0.3×	214 0.2×	1.7k 1.3×	21 0.0×	460 0.9×	114	6.0k
Jingchen Liu United States	23	551 0.2×	351 0.3×	199 0.2×	124 0.2×	164 0.3×	97	2.1k
Yoshio Takane Canada	32	651 0.2×	963 0.7×	336 0.3×	27 0.0×	443 0.8×	137	5.1k
Samuel Leinhardt United States	20	298 0.1×	431 0.3×	201 0.2×	37 0.1×	402 0.7×	40	5.0k
Herbert Solomon United States	25	572 0.2×	523 0.4×	100 0.1×	50 0.1×	88 0.2×	70	2.5k
D. N. Lawley United Kingdom	16	500 0.2×	1.0k 0.8×	240 0.2×	166 0.3×	202 0.4×	25	3.1k
Sik‐Yum Lee Hong Kong	34	805 0.3×	2.3k 1.7×	346 0.3×	73 0.1×	289 0.5×	139	4.2k
Henry E. Kyburg United States	30	450 0.2×	364 0.3×	127 0.1×	51 0.1×	673 1.2×	125	5.0k

Countries citing papers authored by William Stout

Since Specialization

Citations

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

Fields of papers citing papers by William Stout

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Stout. 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 William Stout. The network helps show where William Stout may publish in the future.

Co-authorship network of co-authors of William Stout

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

All Works

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20 of 20 papers shown

Stout, William, et al.. (2022). Three Psychometric-Model-Based Option-Scored Multiple Choice Item Design Principles that Enhance Instruction by Improving Quiz Diagnostic Classification of Knowledge Attributes. Psychometrika. 88(4). 1299–1333. 1 indexed citations

DeBarger, Angela Haydel, Louis V. DiBello, Jim Minstrell, et al.. (2011). Evaluating the Diagnostic Validity of the Facet-Based Formative Assessment System.. Society for Research on Educational Effectiveness.

Stout, William. (2002). Psychometrics: from Practice to Theory and Back. Psychometrika. 67(4). 485–518. 72 indexed citations

Stout, William. (2001). Nonparametric Item Response Theory: A Maturing and Applicable Measurement Modeling Approach. Applied Psychological Measurement. 25(3). 300–306. 22 indexed citations

Jiang, Hai & William Stout. (1998). Improved Type I Error Control and Reduced Estimation Bias for DIF Detection Using SIBTEST. Journal of Educational and Behavioral Statistics. 23(4). 291–291. 7 indexed citations

Nandakumar, Ratna, et al.. (1998). Assessing Unidimensionality of Polytomous Data. Applied Psychological Measurement. 22(2). 99–115. 31 indexed citations

Stout, William, Hsin-Hung Li, Ratna Nandakumar, & Daniel M. Bolt. (1997). MULTISIB: A Procedure to Investigate DIF When a Test is Intentionally Two-Dimensional. Applied Psychological Measurement. 21(3). 195–213. 24 indexed citations

Roussos, Louis A. & William Stout. (1996). Simulation Studies of the Effects of Small Sample Size and Studied Item Parameters on SIBTEST and Mantel‐Haenszel Type I Error Performance. Journal of Educational Measurement. 33(2). 215–230. 204 indexed citations

Stout, William, et al.. (1996). Conditional Covariance-Based Nonparametric Multidimensionality Assessment. Applied Psychological Measurement. 20(4). 331–354. 132 indexed citations

10.

Stout, William, Ratna Nandakumar, & Brian Habing. (1996). Analysis of Latent Dimensionality of Dichotomously and Polytomously Scored Test Data. Behaviormetrika. 23(1). 37–65. 7 indexed citations

11.

Nandakumar, Ratna & William Stout. (1993). Refinements of Stout's Procedure for Assessing Latent Trait Unidimensionality. Journal of Educational Statistics. 18(1). 41–41. 54 indexed citations

12.

Chang, Hua‐Hua & William Stout. (1992). Some theoretical and applied results concerning item response theory model estimation. 1 indexed citations

13.

Stout, William. (1984). A Statistical Procedure for Assessing Test Dimensionality.. Defense Technical Information Center (DTIC).

14.

Custer, Thomas W., et al.. (1980). Distribution, Species Abundance, and Nesting-Site Use of Atlantic Coast Colonies of Herons and Their Allies. The Auk. 97(3). 591–600. 29 indexed citations

15.

Lai, Tze Leung & William Stout. (1978). The Law of the Iterated Logarithm and Upper-Lower Class Tests for Partial Sums of Stationary Gaussian Sequences. The Annals of Probability. 6(5). 12 indexed citations

16.

Horan, Patrick M. & William Stout. (1977). Structure and process in occupational mobility. Social Science Research. 6(2). 170–187. 1 indexed citations

17.

Cambanis, Stamatis, Gordon Simons, & William Stout. (1976). Inequalities for E k(X, Y) when the marginals are fixed. Probability Theory and Related Fields. 36(4). 285–294. 138 indexed citations

18.

Stout, William. (1974). On convergence of ?-mixing sequences of random variables. Probability Theory and Related Fields. 31(1). 69–70. 3 indexed citations

19.

Stout, William. (1973). Maximal Inequalities and the Law of the Iterated Logarithm. The Annals of Probability. 1(2). 8 indexed citations

20.

Stout, William. (1968). Some Results on the Complete and Almost Sure Convergence of Linear Combinations of Independent Random Variables and Martingale Differences. The Annals of Mathematical Statistics. 39(5). 1549–1562. 25 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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