Academic Journal
Q1Research Synthesis Methods
About Research Synthesis Methods
Research Synthesis Methods is a scholarly journal published by Cambridge University Press. SCImago 2025 lists it in Q1, with an SJR of 3.143 and H-index of 88.
Coverage: 2010-2026. Research categories: Education (Q1).
Source-backed journal facts
Topics in published research
Meta-analysis and systematic reviews; Statistical Methods in Clinical Trials; Statistical Methods and Bayesian Inference; Health Systems, Economic Evaluations, Quality of Life; Reliability and Agreement in Measurement; Advanced Causal Inference Techniques.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Reported open-access list prices
3,020.00 USD; 2,090.00 GBP
APC list prices reported by OpenAlex, which obtains this information from DOAJ. Confirm current charges, taxes, waivers and eligibility with the publisher; this is not a fee quotation.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
NMA: Network meta-analysis based on multivariate meta-analysis and meta-regression models in R
Hisashi Noma, Kazushi Maruo, Shiro Tanaka, Toshi A. Furukawa et al.
2026-09-30 · DOI: 10.1017/rsm.2026.10122Mastering a simulation-based parametric method to obtain bias-corrected point estimates and sampling variance for effect sizes
Shinichi Nakagawa, Ayumi Mizuno, Coralie Williams, Santiago Ortega et al.
2026-09-28 · DOI: 10.1017/rsm.2026.10108Meta-analysis reconceived from a finite population sampling perspective
Matthew Forte, Elizabeth Tipton
2026-09-24 · DOI: 10.1017/rsm.2026.10115Estimation and inference for step-function selection models in meta-analyses with dependent effects
James E. Pustejovsky, Martyna Citkowicz, Megha Joshi
2026-09-21 · DOI: 10.1017/rsm.2026.10117Workflow-induced evaluation targets in automation-assisted screening: Implications for cumulative evidence in research synthesis
John Alan Nunnery
2026-09-21 · DOI: 10.1017/rsm.2026.10116Component network meta-analysis methods for combining individual participant data and aggregate data
Ellesha A. Smith, Stephanie J. Hubbard, Suzanne C. Freeman, Nicola J. Cooper et al.
2026-09-17 · DOI: 10.1017/rsm.2026.10119Reframing workload saving in LLM-assisted screening: A commentary on Sciurti et al.
Honghao Lai, Jiayi Liu, Long Ge, Janne Estill et al.
2026-08-27 · DOI: 10.1017/rsm.2026.10114Methods for conducting searches in healthcare reviews: A systematic review
Justin Clark, Elaine Beller, Connor Forbes, Luis Furuya-Kanamori et al.
2026-08-27 · DOI: 10.1017/rsm.2026.10112A tutorial on fitting flexible meta-analytic models with structural equation modeling in R
Mike W.-L. Cheung
2026-08-10 · DOI: 10.1017/rsm.2026.10109A new method for detecting the skewness of data from the five-number summary
Sanying Feng, Hongmei Lin, Jiandong Shi, Sung Nok Chiu et al.
2026-07-30 · DOI: 10.1017/rsm.2026.10111Incorporating estimands into meta-analyses of clinical trials
Antonio Remiro-Azócar, Pepa Polavieja, Emmanuelle Boutmy, Alessandro Ghiretti et al.
2026-07-30 · DOI: 10.1017/rsm.2026.10107Doubly robust augmented weighting estimators for the analysis of externally controlled single-arm trials and unanchored indirect treatment comparisons
Harlan Campbell, Antonio Remiro-Azócar
2026-07-03 · DOI: 10.1017/rsm.2026.10106Mixed-effects two-stage residual inclusion methods for individual patient data meta-analysis: A methodological framework for causal inference in survival analysis
Heather Hufstedler, Alexander M. Danzer, Valentijn Marnix Theodoor de Jong, Till Bärnighausen et al.
2026-06-29 · DOI: 10.1017/rsm.2026.10103Personalized treatment hierarchies in Bayesian network meta-analysis – ADDENDUM
Augustine Wigle, Erica E. M. Moodie
2026-09 · DOI: 10.1017/rsm.2026.10105Prompt engineering of large language models for paper screening in medical meta-analyses and systematic reviews: A prospective comparative study – CORRIGENDUM
Till J. Adam, Salma A. S. Abosabie, Max Dittmer, Elise Wolf et al.
2026-09 · DOI: 10.1017/rsm.2026.10104A comparison of preprint search aggregators: comprehensive identification of preprints in the information retrieval stage of evidence syntheses
Zahra Premji, Sarah McGill, Amy Riegelman
2026-06-17 · DOI: 10.1017/rsm.2026.10101Evaluating the accuracy and speed of eight deduplication tools: A comparative study
Sarah Bateup, Helen Fulbright, Klas Moberg, Kaitlyn Hair et al.
2026-06-17 · DOI: 10.1017/rsm.2026.10100Meta-research on key metrics of preregistered scoping reviews
Kim Nordmann, Paula Kuhn, Florian Fischer
2026-06-15 · DOI: 10.1017/rsm.2026.10078NMADTA: An R package for network meta-analysis of multiple diagnostic tests
Xing Xing, Boyang Lu, Lifeng Lin, Qinshu Lian et al.
2026-06-15 · DOI: 10.1017/rsm.2026.10097Facilitators and barriers to engaging patient partners in knowledge syntheses: A stage-based approach
Anna Maria Chudyk, Sasha M. Kullman, Jenna Villarba, Caroline Monnin et al.
2026-06-15 · DOI: 10.1017/rsm.2026.10099Reviews
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Version History
October 4, 2026 at 8:44 pm
September 15, 2026