Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 448

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Measuring Alliances: the Correlates of War Formal Interstate Alliance Dataset, 1816–2000

Gibler, Douglas M, Sarkees, Meredith Reid·2004·Journal of Peace Research

Abstract

This article serves as a companion to the release of Version 3.0 of the Correlates of War Formal Interstate Alliance Dataset, 1816–2000. First released in 1966, the Correlates of War alliance data have greatly influenced quantitative studies of conflict, providing an important variable in the study of international conflict and cooperation. The article begins by describing the historical development and the major characteristics of the alliance dataset. The second section then discusses the procedures used to both identify and code each alliance in this revised and extended version of the data, and this is followed by a description of several important changes made to the original coding rules in order to develop this dataset, with the most notable of these changes being a more determined reliance on treaty texts rather than historical accounts for identification of alliances and alliance types. To show the effects of the revised coding decisions and the enlarged temporal domain, the final section of the article presents summary statistics for the new data and then uses the dataset to revisit two existing studies on democracy and alliance behavior. The findings indicate that jointly democratic dyads are likely to be allied only after 1945; joint democracy is negatively related to alliance formation during the 1816–1944 time period.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/0022343304041061

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 5 references

Cited by

See all 448

Metadata

Authors
Gibler, D. M., & Sarkees, M. R.
Venue
Journal of Peace Research
Published
2004-03-01
Volume
41
Issue
2
Pages
211-222
ISSN
  • 0022-3433 (ISSN-L)
  • 1460-3578
OpenAlex
W2069910571
Cited by
448
References
5
FWCI
107.25
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Measuring Alliances: the Correlates of War Formal Interstate Alliance Dataset, 1816–2000. https://app.cochat.ai/papers/10.1177/0022343304041061
The paper
Gibler, D. M., & Sarkees, M. R. (2004). Measuring Alliances: the Correlates of War Formal Interstate Alliance Dataset, 1816–2000. Journal of Peace Research. https://doi.org/10.1177/0022343304041061

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.