---
title: "Uncertainty quantification research: papers and trends"
description: "From 2017 to 2026 (so far), the keyword “uncertainty quantification” appeared in 704 papers in the tracked journals, most of them in AI (406), statistics (142) and operations research (109)."
url: https://scholar4ai.com/keywords/uncertainty-quantification
markdown_url: https://scholar4ai.com/keywords/uncertainty-quantification.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From 2017 to 2026 (so far), the keyword “uncertainty quantification” appeared in 704 papers in the tracked journals, most of them in AI (406), statistics (142) and operations research (109). (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T18:03:37+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# Papers on “uncertainty quantification”

Research on “uncertainty quantification” in the 480 tracked journals: papers per year and category, the journals, institutions and countries publishing it, the keywords studied with it and its most-cited papers. It is not among the most frequent keywords of the last 30 days, so this page has no list of its latest papers.

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

## Key findings

- From 2017 to 2026 (so far), the keyword “uncertainty quantification” appeared in 704 papers in the tracked journals, most of them in AI (406), statistics (142) and operations research (109).
- 159 of them were published in 2025, against 13 in 2017.
- Since 2023, the institutions with the most of these papers were Centre National de la Recherche Scientifique (14), Heuristics and Diagnostics for Complex Systems (9) and Université de Technologie de Compiègne (9).
- The journals publishing most of them were Expert Systems with Applications (75), Knowledge-Based Systems (31) and Statistics and Computing (28).
- The most-cited of them is “A review of uncertainty quantification in deep learning: Techniques, applications and challenges” (Information Fusion, 2021), with 2,788 citations.

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 4 | 4 | 13 | 9 | 25 | 43 | 56 | 54 | 110 | 88 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 2 | 7 | 7 | 11 | 16 | 10 | 27 | 14 | 21 | 27 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 3 | 5 | 3 | 3 | 12 | 10 | 10 | 12 | 22 | 29 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 3 | 1 | 2 | 1 | 2 | 1 | 1 | 0 | 1 | 7 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 1 | 2 | 1 | 0 | 1 | 2 | 0 | 2 | 3 | 3 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| All categories | 13 | 20 | 27 | 25 | 57 | 66 | 95 | 85 | 159 | 157 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 75 |
| 2 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 31 |
| 3 | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 28 |
| 4 | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 21 |
| 5 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 18 |
| 6 | [International Journal of Approximate Reasoning](https://scholar4ai.com/journals/international-journal-of-approximate-reasoning.md) | 18 |
| 7 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 18 |
| 8 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 17 |
| 9 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 17 |
| 10 | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 17 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 14 |
| 2 | Heuristics and Diagnostics for Complex Systems | 9 |
| 3 | Université de Technologie de Compiègne | 9 |
| 4 | [Politecnico di Milano](https://scholar4ai.com/institutions/politecnico-di-milano.md) | 8 |
| 5 | [Tongji University](https://scholar4ai.com/institutions/tongji-university.md) | 8 |
| 6 | [University of Milano-Bicocca](https://scholar4ai.com/institutions/university-of-milano-bicocca.md) | 8 |
| 7 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | 7 |
| 8 | [McGill University](https://scholar4ai.com/institutions/mcgill-university.md) | 7 |
| 9 | [National University of Defense Technology](https://scholar4ai.com/institutions/national-university-of-defense-technology.md) | 7 |
| 10 | [Northeastern University](https://scholar4ai.com/institutions/northeastern-university.md) | 7 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 171 |
| 2 | United States | 101 |
| 3 | United Kingdom | 54 |
| 4 | Italy | 34 |
| 5 | Germany | 32 |
| 6 | Australia | 30 |
| 7 | Canada | 29 |
| 8 | France | 27 |
| 9 | Spain | 19 |
| 10 | Hong Kong | 17 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | conformal prediction | 38 |
| 2 | prediction intervals | 33 |
| 3 | probabilistic forecasting | 28 |
| 4 | epistemic uncertainty | 25 |
| 5 | Bayesian neural networks | 21 |
| 6 | aleatoric uncertainty | 20 |
| 7 | Dempster-Shafer theory | 14 |
| 8 | quantile regression | 14 |
| 9 | Monte Carlo dropout | 13 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 2,788 | 42.6 | [A review of uncertainty quantification in deep learning: Techniques, applications and challenges](https://doi.org/10.1016/j.inffus.2021.05.008) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2021-05-23 | Moloud Abdar, Farhad Pourpanah, Sadiq Hussain et al. |
| 2 | 1,833 | 26.9 | [Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods](https://doi.org/10.1007/s10994-021-05946-3) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 2021-03-01 | Eyke Hüllermeier, Willem Waegeman |
| 3 | 1,469 | 37.5 | [A survey of uncertainty in deep neural networks](https://doi.org/10.1007/s10462-023-10562-9) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2023-07-29 | Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali et al. |
| 4 | 584 | 6.2 | [The need for uncertainty quantification in machine-assisted medical decision making](https://doi.org/10.1038/s42256-018-0004-1) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2018-12-18 | Edmon Begoli, Tanmoy Bhattacharya A, Dimitri Kusnezov |
| 5 | 423 | 4.8 | [Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation](https://doi.org/10.1016/j.csda.2019.106816) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2019-07-28 | Yongchan Kwon, Joong‐Ho Won, Beom Joon Kim et al. |

## Research ideas that follow this keyword

- [Calibrated AI uncertainty inside robust optimization](https://scholar4ai.com/ideas/calibrated-uncertainty-in-robust-optimization.md)

## Cite this page

Scholar4AI. (2026). Papers on “uncertainty quantification”. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/keywords/uncertainty-quantification

```bibtex
@misc{scholar4ai-keywords-uncertainty-quantification,
  author = {{Scholar4AI}},
  title = {Papers on “uncertainty quantification”},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/keywords/uncertainty-quantification}},
  urldate = {2026-11-03},
  note = {Journal and Conference 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/).