Joseph L. Schafer
- Statistics and Probability top 0.01%
- Clinical Psychology top 0.1%
- Sociology and Political Science top 0.1%
- Social Psychology top 0.1%
- Education top 0.1%
- Co-authors
- John W. GrahamDavid E. BoothLinda M. CollinsMaren K. OlsenChi-Ming KamJoseph KangStephanie T. LanzaDavid R. Lemmon
- Topics
- Statistical Methods and Bayesian Inference (32 papers)Statistical Methods and Inference (23 papers)Bayesian Methods and Mixture Models (12 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Joseph L. Schafer
48 papers receiving 28.0k citations
Hit Papers
Peers
Comparison fields: 5 of 218
- Statistics and Probability 6.6k
- Clinical Psychology 6.3k
- Sociology and Political Science 4.2k
- Social Psychology 3.7k
- Education 3.3k
Countries citing papers authored by Joseph L. Schafer
This map shows the geographic impact of Joseph L. Schafer'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 Joseph L. Schafer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph L. Schafer more than expected).
Fields of papers citing papers by Joseph L. Schafer
This network shows the impact of papers produced by Joseph L. Schafer. 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 Joseph L. Schafer. The network helps show where Joseph L. Schafer may publish in the future.
Co-authorship network of co-authors of Joseph L. Schafer
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph L. Schafer. A scholar is included among the top collaborators of Joseph L. Schafer 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 Joseph L. Schafer. Joseph L. Schafer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 373 | |
| 3 | Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data (with discussion) | 322 |
| 4 | Outlier Detection and Editing Procedures for Continuous Multivariate Data | 18 |
| 5 | 157 | |
| 6 | 56 | |
| 7 | 47 | |
| 8 | 45 | |
| 9 | 1 | |
| 10 | 57 | |
| 11 | 105 | |
| 12 | Computational tools for missing values in multivariate longitudinal and clustered data | 1 |
| 13 | 8 | |
| 14 | Multiple imputation: a primerbreakdown → | 2866 |
| 15 | MULTIPLE IMPUTATIONS: A PRIMER | 16 |
| 16 | Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspectivebreakdown → | 1150 |
| 17 | Analysis of Incomplete Multivariate Databreakdown → | 4937 |
| 18 | The NHANES III multiple imputation project | 27 |
| 19 | 3 | |
| 20 | 28 |
About Joseph L. Schafer
Joseph L. Schafer is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, having authored 48 papers that have together received 29.5k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (32 papers), Statistical Methods and Inference (23 papers) and Bayesian Methods and Mixture Models (12 papers). The work is most often cited by research in Statistics and Probability (6.6k citations), Clinical Psychology (6.3k citations) and Applied Psychology (1.3k citations). Joseph L. Schafer has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include John W. Graham, David E. Booth, Linda M. Collins, Maren K. Olsen, Chi-Ming Kam, Joseph Kang, Stephanie T. Lanza, David R. Lemmon, Recai Yucel and Hakan Demirtaş. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrika.
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.