---
title: "Insurance Mathematics and Economics: recent papers"
description: "Insurance Mathematics and Economics published 3 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #160 of 239 journals."
url: https://scholar4ai.com/journals/insurance-mathematics-and-economics
markdown_url: https://scholar4ai.com/journals/insurance-mathematics-and-economics.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Insurance Mathematics and Economics published 3 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #160 of 239 journals."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T18:01:08+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Insurance Mathematics and Economics

- 0 papers in the last 7 days
- category: Finance
- publisher: Elsevier BV
- ISSN 0167-6687

Back to the ranking: https://scholar4ai.com/rankings/journals.md

## Key findings

- Insurance Mathematics and Economics published 3 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #160 of 239 journals.
- Leading institutions: Xi’an Jiaotong-Liverpool University (1), Nanjing Audit University (1) and UCLouvain (1).
- Countries: China (1), Belgium (1) and France (1).
- From Oct 2023 to Sep 2026, Insurance Mathematics and Economics published 277 papers (8 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “risk aversion” (19), “risk measures” (18) and “longevity risk” (16).
- Its most-cited paper of the period is “Efficient evaluation of risk allocations” (2025-02-27), with 4 citations.

## The last 36 months

*Papers by publication date, Oct 2023 to Sep 2026*

| Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---:|---:|---:|---:|
| 81 | 91 | 105 | 277 |

*Most frequent keywords, Oct 2023 to Sep 2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | risk aversion | 19 |
| 2 | risk measures | 18 |
| 3 | longevity risk | 16 |
| 4 | value at risk | 15 |
| 5 | variable annuities | 12 |
| 6 | life insurance | 11 |
| 7 | heavy-tailed distributions | 9 |
| 8 | risk management | 9 |
| 9 | risk sharing | 9 |
| 10 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 8 |

*Most-cited papers published Oct 2023 to Sep 2026*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 4 | 0.2 | [Efficient evaluation of risk allocations](https://doi.org/10.1016/j.insmatheco.2025.02.006) | [Insurance Mathematics and Economics](https://scholar4ai.com/journals/insurance-mathematics-and-economics.md) | 2025-02-27 | Christopher Blier-Wong, Hélène Cossette, Étienne Marceau |
| 2 | 4 | 0.2 | [Learning from COVID-19: A catastrophe mortality bond solution in the post-pandemic era](https://doi.org/10.1016/j.insmatheco.2025.103113) | [Insurance Mathematics and Economics](https://scholar4ai.com/journals/insurance-mathematics-and-economics.md) | 2025-05-21 | Ze Chen, Hong Li, Yu Mao et al. |
| 3 | 4 | 0.3 | [Pitfalls in machine learning interpretability: Manipulating partial dependence plots to hide discrimination](https://doi.org/10.1016/j.insmatheco.2025.103135) | [Insurance Mathematics and Economics](https://scholar4ai.com/journals/insurance-mathematics-and-economics.md) | 2025-07-30 | Xi Xin, Giles Hooker, Fei Huang |
| 4 | 4 | 0.4 | [An age–period–cohort model in a Dirichlet framework: A coherent causes of death estimation](https://doi.org/10.1016/j.insmatheco.2025.103194) | [Insurance Mathematics and Economics](https://scholar4ai.com/journals/insurance-mathematics-and-economics.md) | 2025-11-24 | Rebecca Graziani, Andrea Nigri |
| 5 | 4 | 0.4 | [The changing landscape of cyber risk: An empirical analysis of loss severity and tail dynamics](https://doi.org/10.1016/j.insmatheco.2025.103196) | [Insurance Mathematics and Economics](https://scholar4ai.com/journals/insurance-mathematics-and-economics.md) | 2025-12-08 | Martin Eling, Rustam Ibragimov, Dingchen Ning |

*Papers, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-14 | [Disutility-based systemic expected shortfall for heavy-tailed losses: Asymptotic independence versus asymptotic dependence](https://doi.org/10.1016/j.insmatheco.2026.103310) | [Insurance Mathematics and Economics](https://scholar4ai.com/journals/insurance-mathematics-and-economics.md) | Yang Yang, Keya Zhang, Hong Li et al. | Nanjing Audit University; Xi’an Jiaotong-Liverpool University |
| 2026-10-08 | [Gaussian process-based mortality monitoring using multivariate cumulative sum procedures](https://doi.org/10.1016/j.insmatheco.2026.103308) | [Insurance Mathematics and Economics](https://scholar4ai.com/journals/insurance-mathematics-and-economics.md) | Karim Barigou, Stéphane Loisel, Yahia Salhi et al. | UCLouvain; Conservatoire National des Arts et Métiers; Laboratoire interdisciplinaire de recherches en sciences de l'action; … |
| 2026-10-01 | [Longevity Risk and Capital Markets: The 2024–25 Update](https://doi.org/10.1016/j.insmatheco.2026.103309) | [Insurance Mathematics and Economics](https://scholar4ai.com/journals/insurance-mathematics-and-economics.md) | David Blake, Andrew J. G. Cairns, Torsten Kleinow | Department for Work and Pensions; Heriot-Watt University; University of Amsterdam |

## Cite this page

Scholar4AI. (2026). Insurance Mathematics and Economics. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/journals/insurance-mathematics-and-economics

```bibtex
@misc{scholar4ai-journals-insurance-mathematics-and-economics,
  author = {{Scholar4AI}},
  title = {Insurance Mathematics and Economics},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/insurance-mathematics-and-economics}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).