Gerta Rücker

33.8k citations
186 papers · 23.2k indexed · 13 hit papers · h-index 55

Gerta Rücker

186 papers receiving 22.8k citations

Hit Papers

netmeta: A...213200520262012201910002.0k3.0k4.0k5.0k

Peers

Gerta Rücker
Comparison fields: 5 of 229
  • Statistics, Probability and Uncertainty 1.4k
  • Experimental and Cognitive Psychology 1.8k
  • Psychiatry and Mental health 2.1k
  • Clinical Psychology 2.4k
  • Internal Medicine 405
Replace Guido Schwarzer with:
Guido Schwarzer Germany
Lehana Thabane Canada
Martin Schneider Germany
Simon G. Thompson United Kingdom
Sue Duval United States
Christian Gluud Denmark
Gunn Elisabeth Vist Norway
Martin Bland United Kingdom
Bernard Rosner United States
Christopher H. Schmid United States
Gerta Rücker relative to Guido Schwarzer Germany Guido Schwarzer's profile →
Citations per field
00.5×1.5×2.2×
Guido Schwarzer · 1×
Citations per year

Countries citing papers authored by Gerta Rücker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Gerta Rücker Line = papers co-authored together Gerta Rücker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202416
2 20243
3 20245
4 20229
5 20229
6 202212
7 202210
8 20215
9 20211
10 20217
11 20217
12 20211
13 202010
14 20203
15 202010
16 201923
17 201624
18 201518
19 201542
20
Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trialsbreakdown →
20115544

About Gerta Rücker

Gerta Rücker is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Experimental and Cognitive Psychology, having authored 186 papers that have together received 23.2k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (47 papers), Statistical Methods in Clinical Trials (28 papers), Mental Health Research Topics (16 papers), Computational Drug Discovery Methods (12 papers), Statistical Methods and Bayesian Inference (11 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers), Graph theory and applications (9 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.4k citations), Experimental and Cognitive Psychology (1.8k citations) and Psychiatry and Mental health (2.1k 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, Sue Duval and Petra Macaskill. Their work appears in journals such as Cochrane Database of Systematic Reviews, BMC Medical Research Methodology, Statistics in Medicine, 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.

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