Gerta Rücker
Impact in
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- Meta-analysis and systematic reviews
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- Sleep and related disorders
- Mental Health Research Topics
Papers in
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- Meta-analysis and systematic reviews 42
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- Statistical Methods in Clinical Trials 20
- Statistical Methods and Bayesian Inference 9
- Co-authors
- Guido Schwarzer (46 shared papers)Sara Balduzzi (2 shared papers)James R. Carpenter (15 shared papers)Martin Schumacher (16 shared papers)Christoph Rücker (14 shared papers)Julian P. T. Higgins (3 shared papers)John P. A. Ioannidis (3 shared papers)Judith Peters (1 shared paper)
- Journals
- Cochrane Database of Systematic Reviews (21 papers)Statistics in Medicine (14 papers)BMC Medical Research Methodology (13 papers)Research Synthesis Methods (10 papers)Journal of Clinical Epidemiology (8 papers)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Gerta Rücker
186 papers receiving 23.7k citations
Gerta Rücker's Hit Papers
Peers
Comparison fields: 5 of 223
- Statistics, Probability and Uncertainty 1.2k
- Experimental and Cognitive Psychology 1.4k
- Psychiatry and Mental health 1.3k
- Clinical Psychology 1.8k
- Statistics and Probability 564
Countries citing papers authored by Gerta Rücker
This map shows the geographic impact of Gerta Rücker'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 Gerta Rücker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerta Rücker more than expected).
Fields of papers citing papers by Gerta Rücker
This network shows the impact of papers produced by Gerta Rücker. 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 Gerta Rücker. The network helps show where Gerta Rücker may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerta Rücker, 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 187 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 | 5732 |
| 2 | How to perform a meta-analysis with R: a practical tutorial Hit paper breakdown → | 2019 | 3920 |
| 3 | Ranking treatments in frequentist network meta-analysis works without resampling methods Hit paper breakdown → | 2015 | 1205 |
| 4 | Undue reliance on I2 in assessing heterogeneity may mislead Hit paper breakdown → | 2008 | 938 |
| 5 | Insomnia as a predictor of mental disorders: A systematic review and meta-analysis Hit paper breakdown → | 2018 | 775 |
| 6 | y-Randomization and Its Variants in QSPR/QSAR Hit paper breakdown → | 2007 | 768 |
| 7 | Psychological therapies for people with borderline personality disorder Hit paper breakdown → | 2012 | 588 |
| 8 | Low‐dose aspirin for secondary cardiovascular prevention – cardiovascular risks after its perioperative withdrawal versus bleeding risks with its continuation – review and meta‐analysis Hit paper breakdown → | 2005 | 565 |
| 9 | Network meta‐analysis, electrical networks and graph theory Hit paper breakdown → | 2012 | 533 |
| 10 | Early palliative care for adults with advanced cancer Hit paper breakdown → | 2017 | 489 |
| 11 | Seriously misleading results using inverse of Freeman‐Tukey double arcsine transformation in meta‐analysis of single proportions Hit paper breakdown → | 2019 | 431 |
| 12 | Network meta-analysis: application and practice using R software Hit paper breakdown → | 2019 | 349 |
| 13 | 2007 | 316 | |
| 14 | 2009 | 251 | |
| 15 | netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods Hit paper breakdown → | 2023 | 247 |
| 16 | 2015 | 230 | |
| 17 | 2013 | 215 | |
| 18 | 2008 | 203 | |
| 19 | 1999 | 202 | |
| 20 | 2010 | 192 |
About Gerta Rücker
Gerta Rücker is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Experimental and Cognitive Psychology, Computational Theory and Mathematics and Molecular Biology, having authored 187 papers that have together received 24.1k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (42 papers), Statistical Methods in Clinical Trials (20 papers), Computational Drug Discovery Methods (12 papers), Mental Health Research Topics (10 papers), Statistical Methods and Bayesian Inference (9 papers), Graph theory and applications (9 papers), History and advancements in chemistry (7 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.2k citations), Experimental and Cognitive Psychology (1.4k citations), Psychiatry and Mental health (1.3k citations), Clinical Psychology (1.8k citations) and Statistics and Probability (564 citations). Gerta Rücker has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Guido Schwarzer, Sara Balduzzi, James R. Carpenter, Martin Schumacher, Christoph Rücker, Julian P. T. Higgins, John P. A. Ioannidis, Judith Peters, Christopher H. Schmid and Petra Macaskill. Their work appears in journals such as Cochrane Database of Systematic Reviews, Statistics in Medicine, BMC Medical Research Methodology, Research Synthesis Methods and Journal of Clinical Epidemiology.
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.