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. Also as Markdown.

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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#

20172026 (so far)

Papers per publication year and category
Category	2017	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	4	4	13	9	25	43	56	54	110	88
Statistics	2	7	7	11	16	10	27	14	21	27
Operations Research	3	5	3	3	12	10	10	12	22	29
Economics	3	1	2	1	2	1	1	0	1	7
Finance	1	2	1	0	1	2	0	2	3	3
Information Systems	0	0	0	0	0	0	0	1	2	0
Management	0	1	0	0	1	0	0	0	0	1
Health Economics and Policy	0	0	1	1	0	0	0	0	0	1
Marketing	0	0	0	0	0	0	1	1	0	0
Higher Education and Research	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	75
2	Knowledge-Based Systems	31
3	Statistics and Computing	28
4	Spatial Statistics	21
5	Machine Learning	18
6	International Journal of Approximate Reasoning	18
7	Information Fusion	18
8	Pattern Recognition	17
9	Neural Networks	17
10	Transportation Research Part C Emerging Technologies	17

Institutions with the most papers, since 2023
#	Institution	Papers
1	Centre National de la Recherche Scientifique	14
2	Heuristics and Diagnostics for Complex Systems	9
3	Université de Technologie de Compiègne	9
4	Politecnico di Milano	8
5	Tongji University	8
6	University of Milano-Bicocca	8
7	Beihang University	7
8	McGill University	7
9	National University of Defense Technology	7
10	Northeastern University	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	Information Fusion	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	Machine Learning	2021-03-01	Eyke Hüllermeier, Willem Waegeman
3	1,469	37.5	A survey of uncertainty in deep neural networks	Artificial Intelligence Review	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	Nature Machine Intelligence	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	Computational Statistics & Data Analysis	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

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

@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}
}

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