Journal of Experimental Political Science

Aims & Scope

The Journal of Experimental Political Science (JEPS) features cutting-edge research that utilizes experimental methods or experimental reasoning based on naturally occurring data.

We define experimental methods broadly: research featuring random (or quasi-random) assignment of subjects to different treatments in an effort to isolate causal relationships in the sphere of politics.

JEPS embraces all of the different types of experiments carried out as part of political science research, including survey experiments, laboratory experiments, field experiments, lab experiments in the field, natural and neurological experiments.

We invite authors to submit concise articles (around 4000 words or fewer) that immediately address the subject of the research.

We do not require lengthy explanations regarding and justifications of the experimental method.

Nor do we expect extensive literature reviews of pros and cons of the methodological approaches involved in the experiment unless the goal of the article is to explore these methodological issues.

We expect readers to be familiar with experimental methods and therefore to not need pages of literature reviews to be convinced that experimental methods are a legitimate methodological approach.

We will consider longer articles in rare, but appropriate cases, as in the following examples: when a new experimental method or approach is being introduced and discussed or when novel theoretical results are being evaluated through experimentation.

Finally, we strongly encourage authors to submit manuscripts that showcase informative null findings or inconsistent results from well-designed, executed, and analyzed experiments.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.4
2024	3.20

SJR (SCImago Journal Rank)

Year	Value
2024	1.506

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	27

Journal Rank

Year	Value
2024	2368

Journal Citation Indicator

Year	Value
2024	410

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• The Generalizability of Survey Experiments

  Citation: 923

  Authors: Kevin J., Thomas J., James N., Jeremy

• All the News That’s Fit to Fabricate: AI-Generated Text as a Tool of Media Misinformation

  Citation: 203

  Authors: Sarah, R. Miles, Miles

• Cross-Sample Comparisons and External Validity

  Citation: 201

  Authors: Yanna, Adam Seth

• Is There a Cost to Convenience? An Experimental Comparison of Data Quality in Laboratory and Online Studies

  Citation: 175

  Authors: Scott, Jennifer

• How Responsive are Political Elites? A Meta-Analysis of Experiments on Public Officials

  Citation: 130

  Authors: Mia

• The Effects of Unsubstantiated Claims of Voter Fraud on Confidence in Elections

  Citation: 125

  Authors: Nicolas, Margaret, Andrew M., Gabrielle, Benjamin, Jacob M., Brendan, Jason

• How Affective Polarization Shapes Americans’ Political Beliefs: A Study of Response to the COVID-19 Pandemic

  Citation: 115

  Authors: James N., Samara, Yanna, Matthew, John Barry

• The Generalizability of Online Experiments Conducted During the COVID-19 Pandemic

  Citation: 104

  Authors: Kyle, Gregory A., Alexander

• Displacing Misinformation about Events: An Experimental Test of Causal Corrections

  Citation: 84

  Authors: Brendan, Jason

• Developing Standards for Post-Hoc Weighting in Population-Based Survey Experiments

  Citation: 80

  Authors: Annie, Neil, Gabor, L. J.

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