Journal of Causal Inference

Aims & Scope

JCI publishes papers on theoretical and applied causal research across the range of academic disciplines that use quantitative tools to study causality.

The past two decades have seen causal inference emerge as a unified field with a solid theoretical foundation, useful in many of the empirical and behavioral sciences.

Journal of Causal Inference aims to provide a common venue for researchers working on causal inference in biostatistics and epidemiology, economics, political science and public policy, cognitive science and formal logic, and any field that aims to understand causality.

The journal serves as a forum for this growing community to develop a shared language and study the commonalities and distinct strengths of their various disciplines' methods for causal analysis.

Metrics & Ranking

Abstracting & Indexing

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

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

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

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Decision Sciences and Mathematics, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 1,000.00 EUR. Learn more.

Explore journals without APCs for alternative publishing options.

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.

• Entropy Balancing is Doubly Robust

  Citation: 238

  Authors: Qingyuan, Daniel

• Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate

  Citation: 238

  Authors: Matias D., Brigham R., Rocío

• Propensity Score Analysis with Survey Weighted Data

  Citation: 168

  Authors: Greg, Stephanie Ann, Beth Ann, Mohammed U.

• Causal inference under multiple versions of treatment

  Citation: 168

  Authors: Tyler J., Miguel A.

• Design and Analysis of Experiments in Networks: Reducing Bias from Interference

  Citation: 133

  Authors: Dean, Brian, Johan

• Synthetic Control Method: Inference, Sensitivity Analysis and Confidence Sets

  Citation: 132

  Authors: Sergio, Vitor

• A Boosting Algorithm for Estimating Generalized Propensity Scores with Continuous Treatments

  Citation: 120

  Authors: Yeying, Donna L., Debashis

• A General Algorithm for Deciding Transportability of Experimental Results

  Citation: 120

  Authors: Elias, Judea

• Targeted Maximum Likelihood Estimation for Dynamic and Static Longitudinal Marginal Structural Working Models

  Citation: 110

  Authors: Maya, Joshua, Susan, Nello, Michael, Mark

• The Inflation Technique for Causal Inference with Latent Variables

  Citation: 97

  Authors: Elie, Robert W., Tobias