David G. Weeks
Impact in
- Computational Mathematics top 5%
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
Papers in
-
- Child and Adolescent Psychosocial and Emotional Development 3
-
- Advanced Statistical Methods and Models 2
- Cognitive and developmental aspects of mathematical skills 1
- Co-authors
- Peter M. Bentler (7 shared papers)Letitia Anne Peplau (3 shared papers)John L. Michela (3 shared papers)Cynthia L. Janes (3 shared papers)Stanley B. Woll (1 shared paper)
- Journals
- Journal of Personality and Social Psychology (4 papers)Multivariate Behavioral Research (2 papers)Psychometrika (2 papers)Psychological Bulletin (2 papers)British Journal of Mathematical and Statistical Psychology (1 paper)
- Partner nations
- United States
In The Last Decade
David G. Weeks
17 papers receiving 783 citations
Peers
Comparison fields: 5 of 122
- Computational Mathematics 30
- Statistics and Probability 138
- Health 101
- Applied Psychology 41
- Social Psychology 173
Countries citing papers authored by David G. Weeks
This map shows the geographic impact of David G. Weeks'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 David G. Weeks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Weeks more than expected).
Fields of papers citing papers by David G. Weeks
This network shows the impact of papers produced by David G. Weeks. 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 David G. Weeks. The network helps show where David G. Weeks may publish in the future.
Co-authors
The 5 scholars most cited alongside David G. Weeks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 397 | |
| 2 | 1980 | 195 | |
| 3 | 1978 | 50 | |
| 4 | 1982 | 42 | |
| 5 | 1982 | 42 | |
| 6 | 1979 | 42 | |
| 7 | 1982 | 31 | |
| 8 | 1980 | 26 | |
| 9 | 1983 | 21 | |
| 10 | 1984 | 16 | |
| 11 | 1979 | 14 | |
| 12 | 1982 | 13 | |
| 13 | 1985 | 6 | |
| 14 | 1985 | 6 | |
| 15 | 1980 | 2 | |
| 16 | 1979 | 1 | |
| 17 | 1976 | 1 |
About David G. Weeks
David G. Weeks is a scholar working on Clinical Psychology, Statistics and Probability, Social Psychology, Sociology and Political Science and Artificial Intelligence, having authored 17 papers that have together received 905 indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (3 papers), Educational and Psychological Assessments (2 papers), Advanced Statistical Methods and Models (2 papers), Psychological Well-being and Life Satisfaction (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Cognitive and developmental aspects of mathematical skills (1 paper), Mental Health Research Topics (1 paper) and Emotional Intelligence and Performance (1 paper). The work is most often cited by research in Computational Mathematics (30 citations), Statistics and Probability (138 citations), Health (101 citations), Applied Psychology (41 citations) and Social Psychology (173 citations). David G. Weeks has collaborated with scholars based in United States. Frequent co-authors include Peter M. Bentler, Letitia Anne Peplau, John L. Michela, Cynthia L. Janes and Stanley B. Woll. Their work appears in journals such as Journal of Personality and Social Psychology, Multivariate Behavioral Research, Psychometrika, Psychological Bulletin and British Journal of Mathematical and Statistical 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.