This journal publishes research on quantitative methods for political analysis, including causal inference, statistical modeling, and data analysis techniques. Articles focus on developing and applying new methodologies for analyzing political phenomena, such as synthetic control methods, text-as-behavior approaches, and Bayesian sensitivity analysis. The journal also features work on the application of computational tools, including language models and AI, to political science research, and addresses challenges in survey data quality and analysis.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Political Science and International RelationsQ1
Sociology and Political ScienceQ1
Subject Classification
Web of Science Categories
Political ScienceSocial Sciences, Mathematical Methods
Scopus Categories
Sociology and Political SciencePolitical Science and International Relations
Research Topics (OpenAlex)
Electoral Systems and Political ParticipationDiverse Scientific and Economic StudiesAdvanced Causal Inference TechniquesLegal case studies and regulationsQualitative Comparative Analysis Research