Research Synthesis Methods

Papers
(The H4-Index of Research Synthesis Methods is 24. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
Accuracy of conversion formula for effect sizes: A Monte Carlo simulation328
An investigation of the impact of using contrast- and arm-synthesis models for network meta-analysis281
Advice for improving the reproducibility of data extraction in meta‐analysis164
Facilitating open science practices for research syntheses: PreregRS guides preregistration131
Reported methodological quality of medical systematic reviews: Development of an assessment tool (ReMarQ) and meta-research study131
A mapping exercise using automated techniques to develop a search strategy to identify systematic review tools108
Towards the automatic risk of bias assessment on randomized controlled trials: A comparison of RobotReviewer and humans98
Assessment of key characteristics, methodology, and effect size measures used in meta‐analysis of human‐health‐related animal studies75
The age of abundant scholarly information and its synthesis– A time when ‘just google it’ is no longer enough70
What are the best methods for rapid reviews of the research evidence? A systematic review of reviews and primary studies65
Meta‐analyses of partial correlations are biased: Detection and solutions63
46
42
Fast‐and‐frugal decision tree for the rapid critical appraisal of systematic reviews40
Bias propagation in network meta‐analysis models37
Retrieving Cochrane reviews is sometimes challenging and their reporting is not always optimal34
Authors’ reply: Continuity corrections with Mantel–Haenszel estimators in Cochrane reviews32
Exploring graphical approaches to assess the impact of an additional trial on a decision model via updated meta-analysis31
Correct standard errors can bias meta‐analysis30
Network meta analysis to predict the efficacy of an approved treatment in a new indication29
CausalMetaR: An R package for performing causally interpretable meta-analyses28
Capturing causal claims: A fine-tuned text mining model for extracting causal sentences from social science papers27
Methods for population adjustment with limited access to individual patient data: A review and simulation study27
Evaluation of semi-automated record screening methods for systematic reviews of prognosis studies and intervention studies24
A comprehensive systematic review dataset is a rich resource for training and evaluation of AI systems for title and abstract screening24
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