---
title: "Computational Management Science: 1 papers, last 30 days"
description: "Computational Management Science published 1 papers in the last 30 days (2026-09-28 to 2026-10-27), ranking #284 of 339 journals."
url: https://scholar4ai.com/journals/computational-management-science
markdown_url: https://scholar4ai.com/journals/computational-management-science.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Computational Management Science published 1 papers in the last 30 days (2026-09-28 to 2026-10-27), ranking #284 of 339 journals."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-27T14:11:44+09:00
window: 2026-09-28 to 2026-10-27
source: OpenAlex (CC0)
---

# Computational Management Science

- 0 papers in the last 7 days
- category: Operations Research
- publisher: Springer Science+Business Media
- ISSN 1619-697X

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

## Key findings

- Computational Management Science published 1 papers in the last 30 days (2026-09-28 to 2026-10-27), ranking #284 of 339 journals.
- Leading institutions: Stevens Institute of Technology (1).
- Countries: United States (1).
- From Oct 2023 to Sep 2026, Computational Management Science published 102 papers (3 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “multistage stochastic programming” (7), “distributed optimization” (6) and “option pricing” (6).
- Its most-cited paper of the period is “A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs” (2024-02-19), with 17 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 |
|---:|---:|---:|---:|
| 47 | 20 | 35 | 102 |

*Most frequent keywords, Oct 2023 to Sep 2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | multistage stochastic programming | 7 |
| 2 | distributed optimization | 6 |
| 3 | option pricing | 6 |
| 4 | portfolio optimization | 5 |
| 5 | Stackelberg game | 4 |
| 6 | bi-level optimization | 4 |
| 7 | demand uncertainty | 4 |
| 8 | distributionally robust optimization | 4 |
| 9 | nonsmooth optimization | 4 |
| 10 | risk measures | 4 |

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

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 17 | 0.5 | [A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs](https://doi.org/10.1007/s10287-024-00504-3) | [Computational Management Science](https://scholar4ai.com/journals/computational-management-science.md) | 2024-02-19 | Elaheh Jafarigol, Theodore B. Trafali̇s |
| 2 | 9 | 0.3 | [Predicting Airbnb pricing: a comparative analysis of artificial intelligence and traditional approaches](https://doi.org/10.1007/s10287-024-00511-4) | [Computational Management Science](https://scholar4ai.com/journals/computational-management-science.md) | 2024-05-06 | Nicola Camatti, Giacomo di Tollo, Gianni Filograsso et al. |
| 3 | 9 | 0.3 | [Decomposition methods for multi-horizon stochastic programming](https://doi.org/10.1007/s10287-024-00509-y) | [Computational Management Science](https://scholar4ai.com/journals/computational-management-science.md) | 2024-05-10 | Hongyu Zhang, Èric Mor Domènech, I.E. Grossmann et al. |
| 4 | 8 | 0.2 | [Decentralized saddle-point problems with different constants of strong convexity and strong concavity](https://doi.org/10.1007/s10287-023-00485-9) | [Computational Management Science](https://scholar4ai.com/journals/computational-management-science.md) | 2023-11-06 | Dmitry Metelev, Alexander Rogozin, Alexander  Vladimirovich Gasnikov et al. |
| 5 | 8 | 0.2 | [Addressing the economic and demographic complexity via a neural network approach: risk measures for reverse mortgages](https://doi.org/10.1007/s10287-023-00491-x) | [Computational Management Science](https://scholar4ai.com/journals/computational-management-science.md) | 2023-12-08 | Emilia Di Lorenzo, Gabriella Piscopo, Marilena Sibillo |

*Papers, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-09-29 | [Extension, stability and smoothing of risk forms](https://doi.org/10.1007/s10287-026-00583-4) | [Computational Management Science](https://scholar4ai.com/journals/computational-management-science.md) | Huihui Chen, Darinka Dentcheva | Stevens Institute of Technology |

## Cite this page

Scholar4AI. (2026). Computational Management Science. Journal Research Rankings. Retrieved October 27, 2026, from https://scholar4ai.com/journals/computational-management-science

```bibtex
@misc{scholar4ai-journals-computational-management-science,
  author = {{Scholar4AI}},
  title = {Computational Management Science},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/computational-management-science}},
  urldate = {2026-10-27},
  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/).