Journal of Experimental Political Science
Q1 Journal
Open Access
Journal
Country
United Kingdom
Western Europe
Subject Area and Category
Social Sciences
└
Sociology and Political Science
Q1
Publisher
SJR 2025
2.016
Q1
SJR Score
H-Index
30
Citations / Doc (2yr)
3.34
Total Docs. (latest)
46
Total Citations (3yr)
467
Publication type
Journals
ISSN
20522630, 20522649
Coverage
2014-2025
Journal Rank
#1,431
Subject Categories
Sociology and Political Science
Q1
Subject Areas
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.
Abstracting & Indexing
Scopus
Google Scholar
Web of Science
Detailed Metrics
| Total Docs. (latest) | 46 |
| Total Docs. (3 years) | 102 |
| Total Refs. | 1,649 |
| Total Citations (3 years) | 467 |
| Citable Docs. (3 years) | 100 |
| Citations / Doc. (2 years) | 3.34 |
| Ref. / Doc. | 35.85 |
| % Female | 30.8% |
Metrics Visualization
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