Impact Factor
4.40
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
9.78
1,293 total citations
h5-index
43
h5 depth signal
Cited share
84.1%
127 of 151
Total citations
1,293
Citation footprint
Metric signal
10.25
External metric anchor
Self-citation
6.1%
79 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United Kingdom
205
United States
191
Germany
111
Australia
87
Canada
81
Citing Fields of Research
Medical Ethics
427
Statistical Methods
396
Scientometrics & Research Ethics
99
AI & Machine Learning
58
Clinical Laboratory Science
43
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
926
Articles tracked across the journal lifetime
Indexed publication set
151
127 cited publications
Last 12 months
85
7.1 publications/month
Open access share
100.0%
85 OA publications in the last year
Leading citing country
United Kingdom
205 citing publications
Leading citing field
Medical Ethics
427 citing publications
Latest tracked publication
19 October 2026
10 recent records available
Coverage & Indexing History
v6n1, Mar. 2015-
v6n1, Mar. 2015- ; selected citations only before this date
Active Coverage
Research Focus & Classification
Indexed Subjects
Multidisciplinary
Issuing & Sponsoring Bodies
Contributor
Society for Research Synthesis Methodology
Broad Categories
Medical Informatics
Science
Statistics as Topic
Multidisciplinary
MeSH Descriptors
Meta-Analysis as Topic
Research Design
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1017/rsm.2026.10110
Open DOI
Evaluating prompting strategies and large language models in systematic literature review screening: Relevance and task-stage classification
This study quantifies how prompting strategies interact with large language models (LLMs) to automate the screening stage of systematic literature reviews (SLRs). We evaluate six LLMs (GPT-4o, GPT-4o-mini, DeepSeek-Chat-V3, Gemini-2.5-Fl...
02
DOI 10.1017/rsm.2026.10121
Open DOI
Rethinking time-lag bias in meta-analysis: Broader definitions and conceptual frameworks
Meta-analysis is often viewed as a gold standard for synthesizing available evidence, but it faces challenges as evidence becomes available gradually and studies may be disseminated selectively and at different times. When publication ti...
03
DOI 10.1017/rsm.2026.10124
Open DOI
MechaScreener: Large language model-based automated screening for systematic reviews and research
Systematic reviews are the gold standard for evidence synthesis, but the manual title and abstract screening of thousands of references creates a severe bottleneck. Existing automated tools have historically struggled to achieve the near...
04
DOI 10.1017/rsm.2026.10113
Open DOI
Handling within-study variability in moderators and dependence in correlation coefficients: Meta-analytic structural equation modeling
Meta-analytic structural equation modeling (MASEM) is a flexible modeling framework that combines the strengths of meta-analysis and structural equation modeling. Despite the increasing popularity of the MASEM technique, its usage and sc...
05
DOI 10.1017/rsm.2026.10123
Open DOI
Network meta-analysis and diffusion
We show that the covariance matrix of the treatment effect estimates in a network meta-analysis can be obtained without matrix inversion using a geometric series of diffusion matrices. This property extends to the hat matrix and provides...
06
DOI 10.1017/rsm.2026.10118
Open DOI
Artificial intelligence tools for evidence synthesis in the biomedical field: A living rapid review and evidence map
Evidence synthesis (ES) is costly and time-intensive. Artificial intelligence (AI) tools are increasingly used to automate or semi-automate ES tasks. We conducted a living rapid review of AI tools that automate or semi-automate ES tasks....
07
DOI 10.1017/rsm.2026.10122
Open DOI
NMA: Network meta-analysis based on multivariate meta-analysis and meta-regression models in R
Network meta-analysis has become an established methodology within systematic reviews for comparing the effectiveness of multiple treatments and is now a standard approach in comparative effectiveness research. However, the underlying st...
08
DOI 10.1017/rsm.2026.10108
Open DOI
Mastering a simulation-based parametric method to obtain bias-corrected point estimates and sampling variance for effect sizes
Meta-analyses require an effect-size estimate and its corresponding sampling variance from primary studies. For some effect size statistics, however, estimators of sampling variance are unavailable, requiring new derivations. Traditional...
09
DOI 10.1017/rsm.2026.10115
Open DOI
Meta-analysis reconceived from a finite population sampling perspective
In current meta-analytic methods, researchers must choose which model to use—the common effect (CE), fixed effects (FES), or random effects (RE) model. The CE and FES models allow for estimation of the person-average effect size while co...
10
DOI 10.1017/rsm.2026.10117
Open DOI
Estimation and inference for step-function selection models in meta-analyses with dependent effects
Meta-analyses in social science fields face multiple methodological challenges arising from how primary research studies are designed and reported. One challenge is that many primary studies report multiple relevant effect size estimates...
Bibliographical & Catalog Notes
Also issued online.