William L. Hays
- Social Psychology top 0.5%
- Clinical Psychology top 1%
- Sociology and Political Science top 1%
- Education top 1%
- Cognitive Neuroscience top 2%
- Co-authors
- C. Alan BoneauRobert L. WinklerEstelle RussekLawrence D. PhillipsWard EdwardsPaul H. JacksonMelvin R. NovickWilliam Sloan
- Topics
- Bayesian Modeling and Causal Inference (3 papers)Multi-Criteria Decision Making (3 papers)Psychotherapy Techniques and Applications (2 papers)
- Journals
- Journal of the American Statistical AssociationAmerican Journal of PsychiatryThe American Journal of Psychology
- Partner nations
- United States
In The Last Decade
William L. Hays
39 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 222
- Social Psychology 1.6k
- Clinical Psychology 1.4k
- Sociology and Political Science 1.1k
- Education 947
- Cognitive Neuroscience 943
Countries citing papers authored by William L. Hays
This map shows the geographic impact of William L. Hays'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 L. Hays with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William L. Hays more than expected).
Fields of papers citing papers by William L. Hays
This network shows the impact of papers produced by William L. Hays. 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 L. Hays. The network helps show where William L. Hays may publish in the future.
Co-authorship network of co-authors of William L. Hays
This figure shows the co-authorship network connecting the top 25 collaborators of William L. Hays. A scholar is included among the top collaborators of William L. Hays 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 L. Hays. William L. Hays is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | Statistics, 4th ed. | 393 |
| 4 | 64 | |
| 5 | 2 | |
| 6 | 38 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | Statistics (3rd ed.).breakdown → | 404 |
| 10 | 1 | |
| 11 | Statistics for the social sciencesbreakdown → | 1716 |
| 12 | 5 | |
| 13 | 90 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 16 | |
| 17 | 14 | |
| 18 | 5 | |
| 19 | Mental level and friend selection among institutionalized defective girls. | 7 |
| 20 | 5 |
About William L. Hays
William L. Hays is a scholar working on General Psychology, Management Science and Operations Research and Applied Psychology, having authored 41 papers that have together received 8.5k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (3 papers), Multi-Criteria Decision Making (3 papers) and Psychotherapy Techniques and Applications (2 papers). The work is most often cited by research in General Decision Sciences (206 citations), Applied Psychology (430 citations) and Statistics and Probability (645 citations). William L. Hays has collaborated with scholars based in United States. Frequent co-authors include C. Alan Boneau, Robert L. Winkler, Estelle Russek, Lawrence D. Phillips, Ward Edwards, Paul H. Jackson, Melvin R. Novick, William Sloan, Edward S. Bordin and Harold L. Raush. Their work appears in journals such as Journal of the American Statistical Association, American Journal of Psychiatry and The American Journal of Psychology.
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.