James R. Carpenter
Impact in
- Statistics and Probability top 0.05%
- Statistical Methods and Bayesian Inference
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
- Statistical Methods and Inference
- Statistics, Probability and Uncertainty top 0.05%
- Meta-analysis and systematic reviews
Papers in
-
- Statistical Methods and Bayesian Inference 79
- Statistical Methods in Clinical Trials 54
- Advanced Causal Inference Techniques 51
- Statistical Methods and Inference 39
-
- Space Satellite Systems and Control 28
- GNSS positioning and interference 23
- Co-authors
- Michael G. Kenward (19 shared papers)Ian R. White (31 shared papers)Jonathan A C Sterne (5 shared papers)Gerta Rücker (15 shared papers)Guido Schwarzer (13 shared papers)Michael Spratt (3 shared papers)John B. Carlin (2 shared papers)John F. Bithell (1 shared paper)
- Journals
- Statistics in Medicine (24 papers)Statistical Methods in Medical Research (10 papers)BMJ Open (10 papers)Journal of Clinical Epidemiology (8 papers)BMC Medical Research Methodology (8 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
James R. Carpenter
308 papers receiving 24.7k citations
James R. Carpenter's Hit Papers
Peers
Comparison fields: 5 of 231
- Statistics and Probability 3.6k
- Statistics, Probability and Uncertainty 1.7k
- Geriatrics and Gerontology 512
- Applied Psychology 566
- Health 876
Countries citing papers authored by James R. Carpenter
This map shows the geographic impact of James R. Carpenter'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 James R. Carpenter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James R. Carpenter more than expected).
Fields of papers citing papers by James R. Carpenter
This network shows the impact of papers produced by James R. Carpenter. 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 James R. Carpenter. The network helps show where James R. Carpenter may publish in the future.
Co-authors
The 25 scholars most cited alongside James R. Carpenter, 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 322 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials Hit paper breakdown → | 2011 | 5544 |
| 2 | Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls Hit paper breakdown → | 2009 | 5024 |
| 3 | Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians Hit paper breakdown → | 2000 | 1296 |
| 4 | Undue reliance on I2 in assessing heterogeneity may mislead Hit paper breakdown → | 2008 | 920 |
| 5 | Strategy for intention to treat analysis in randomised trials with missing outcome data Hit paper breakdown → | 2011 | 607 |
| 6 | Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study Hit paper breakdown → | 2014 | 477 |
| 7 | Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model Hit paper breakdown → | 2014 | 338 |
| 8 | Multiple Imputation and its Application Hit paper breakdown → | 2012 | 337 |
| 9 | 2012 | 334 | |
| 10 | 2007 | 318 | |
| 11 | 2007 | 312 | |
| 12 | 2010 | 295 | |
| 13 | 2011 | 294 | |
| 14 | 2015 | 230 | |
| 15 | 2012 | 225 | |
| 16 | 2009 | 216 | |
| 17 | 2008 | 202 | |
| 18 | Framework for the treatment and reporting of missing data in observational studies: The Treatment And Reporting of Missing data in Observational Studies framework Hit paper breakdown → | 2021 | 191 |
| 19 | 1999 | 189 | |
| 20 | 2010 | 186 |
About James R. Carpenter
James R. Carpenter is a scholar working on Statistics and Probability, Aerospace Engineering, Economics and Econometrics, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 322 papers that have together received 25.3k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (79 papers), Statistical Methods in Clinical Trials (54 papers), Advanced Causal Inference Techniques (51 papers), Statistical Methods and Inference (39 papers), Health Systems, Economic Evaluations, Quality of Life (39 papers), Meta-analysis and systematic reviews (31 papers), Space Satellite Systems and Control (28 papers) and GNSS positioning and interference (23 papers). The work is most often cited by research in Statistics and Probability (3.6k citations), Statistics, Probability and Uncertainty (1.7k citations), Geriatrics and Gerontology (512 citations), Applied Psychology (566 citations) and Health (876 citations). James R. Carpenter has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Michael G. Kenward, Ian R. White, Jonathan A C Sterne, Gerta Rücker, Guido Schwarzer, Michael Spratt, John B. Carlin, John F. Bithell, Angela Wood and Patrick Royston. Their work appears in journals such as Statistics in Medicine, Statistical Methods in Medical Research, BMJ Open, Journal of Clinical Epidemiology and BMC Medical Research Methodology.
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.