William Stout
Impact in
-
- Psychometric Methodologies and Testing
- Probability and Risk Models
- Statistics and Probability top 0.2%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
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- Psychometric Methodologies and Testing 29
- Probability and Risk Models 13
- Multi-Criteria Decision Making 4
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- Advanced Statistical Modeling Techniques 27
- Co-authors
- Louis A. Roussos (7 shared papers)Robin T. Shealy (2 shared papers)Walter Philipp (3 shared papers)Jinming Zhang (4 shared papers)Ratna Nandakumar (6 shared papers)Hsin-Hung Li (3 shared papers)Gordon Simons (2 shared papers)Jeffrey A. Douglas (3 shared papers)
- Journals
- Psychometrika (10 papers)Applied Psychological Measurement (7 papers)The Annals of Probability (5 papers)Journal of Educational Measurement (5 papers)Probability Theory and Related Fields (5 papers)
- Partner nations
- United StatesNetherlandsTaiwan
In The Last Decade
William Stout
61 papers receiving 4.0k citations
William Stout's Hit Papers
Peers
Comparison fields: 5 of 145
- Management Science and Operations Research 2.6k
- Statistics and Probability 1.4k
- Finance 620
- Computer Networks and Communications 1.3k
- Mathematical Physics 475
Countries citing papers authored by William Stout
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
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-authors
The 25 scholars most cited alongside William Stout, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Almost Sure Convergence. Hit paper breakdown → | 1975 | 875 |
| 2 | 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 Hit paper breakdown → | 1993 | 513 |
| 3 | 1987 | 377 | |
| 4 | 1990 | 283 | |
| 5 | 1975 | 254 | |
| 6 | 1996 | 206 | |
| 7 | 1996 | 204 | |
| 8 | 1999 | 170 | |
| 9 | 1976 | 138 | |
| 10 | 1996 | 132 | |
| 11 | 1996 | 131 | |
| 12 | 1993 | 90 | |
| 13 | 1993 | 89 | |
| 14 | 1996 | 87 | |
| 15 | 1970 | 81 | |
| 16 | 1999 | 74 | |
| 17 | 2002 | 72 | |
| 18 | 1998 | 63 | |
| 19 | 1975 | 62 | |
| 20 | An Item Response Theory Model for Test Bias. | 1991 | 61 |
About William Stout
William Stout is a scholar working on Management Science and Operations Research, Computer Networks and Communications, Statistics and Probability, Mathematical Physics and Finance, having authored 65 papers that have together received 4.7k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (29 papers), Advanced Statistical Modeling Techniques (27 papers), Probability and Risk Models (13 papers), Stochastic processes and financial applications (4 papers), Multi-Criteria Decision Making (4 papers), Statistical Methods and Bayesian Inference (4 papers), Advanced Causal Inference Techniques (3 papers) and Cognitive Abilities and Testing (3 papers). The work is most often cited by research in Management Science and Operations Research (2.6k citations), Statistics and Probability (1.4k citations), Finance (620 citations), Computer Networks and Communications (1.3k citations) and Mathematical Physics (475 citations). William Stout has collaborated with scholars based in United States, Netherlands and Taiwan. Frequent co-authors include Louis A. Roussos, Robin T. Shealy, Walter Philipp, Jinming Zhang, Ratna Nandakumar, Hsin-Hung Li, Gordon Simons, Jeffrey A. Douglas, Hua‐Hua Chang and Stamatis Cambanis. Their work appears in journals such as Psychometrika, Applied Psychological Measurement, The Annals of Probability, Journal of Educational Measurement and Probability Theory and Related Fields.
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.