North American Actuarial Journal
Published by Taylor & Francis
ISSN : 1092-0277
Abbreviation : North Am. Actuar. J.
Aims & Scope
The North American Actuarial Journal scientifically addresses the domestic and international problems, interests and concerns of actuaries, their customers and public policy decision-makers.
The NAAJ publishes papers from traditional fields of actuarial practice, such as life and health insurance, pensions, employee benefits, property and casualty insurance, and finance and investments.
Papers from new or developing areas of actuarial practice are especially welcome.
We seek to stimulate research on emerging public policy debates, technology improvements, demographic trends, multidisciplinary topics, globalization issues, and the like.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 1.6 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.703 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q2 |
h-index
| Year | Value |
|---|---|
| 2024 | 53 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 8065 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 205 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences, Economics, Econometrics and Finance and Mathematics, designed to support cutting-edge academic discovery.
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.
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A Quantitative Comparison of Stochastic Mortality Models Using Data From England and Wales and the United States
Citation: 506
Authors: Andrew J. G., David, Kevin, Guy D., David, Alen, Igor
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Tail Conditional Expectations for Elliptical Distributions
Citation: 280
Authors: Zinoviy M., Emiliano A.
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The Lee-Carter Method for Forecasting Mortality, with Various Extensions and Applications
Citation: 239
Authors: Ronald