Papers on “maximum likelihood estimation”
Research on “maximum likelihood estimation” 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.
← Top research keywords · Keyword trends
Key findings#
- From 2017 to 2026 (so far), the keyword “maximum likelihood estimation” appeared in 824 papers in the tracked journals, most of them in statistics (493), AI (111) and operations research (99).
- 84 of them were published in 2025, against 85 in 2017.
- Since 2023, the institutions with the most of these papers were Centre National de la Recherche Scientifique (9), University of Connecticut (8) and Zhejiang University (6).
- The journals publishing most of them were Computational Statistics (28), Journal of Statistical Theory and Practice (27) and Statistical Papers (23).
- The most-cited of them is “EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames” (International Journal of Computer Vision, 2019), with 238 citations.
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| Statistics | 45 | 46 | 53 | 51 | 66 | 58 | 43 | 45 | 49 | 37 |
| AI | 12 | 8 | 6 | 10 | 12 | 23 | 11 | 12 | 11 | 6 |
| Operations Research | 11 | 10 | 12 | 8 | 6 | 10 | 11 | 8 | 13 | 10 |
| Economics | 10 | 12 | 8 | 9 | 15 | 7 | 12 | 6 | 8 | 3 |
| Finance | 6 | 3 | 3 | 0 | 3 | 4 | 3 | 2 | 2 | 0 |
| Management | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| Marketing | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Health Economics and Policy | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| All categories | 85 | 80 | 82 | 78 | 104 | 102 | 80 | 73 | 84 | 56 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | Computational Statistics | 28 |
| 2 | Journal of Statistical Theory and Practice | 27 |
| 3 | Statistical Papers | 23 |
| 4 | Statistics and Computing | 19 |
| 5 | Japanese Journal of Statistics and Data Science | 15 |
| 6 | Computational Statistics & Data Analysis | 12 |
| 7 | Journal of Statistical Planning and Inference | 12 |
| 8 | Statistics & Probability Letters | 10 |
| 9 | Journal of Multivariate Analysis | 9 |
| 10 | Journal of Econometrics | 9 |
| # | Institution | Papers |
|---|---|---|
| 1 | Centre National de la Recherche Scientifique | 9 |
| 2 | University of Connecticut | 8 |
| 3 | Zhejiang University | 6 |
| 4 | Indian Institute of Technology Kanpur | 5 |
| 5 | Le Mans Université | 5 |
| 6 | Beijing Normal University | 4 |
| 7 | National Research Tomsk State University | 4 |
| 8 | Sapienza University of Rome | 4 |
| 9 | University of Missouri | 4 |
| 10 | Chinese Academy of Sciences | 3 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 62 |
| 2 | United States | 58 |
| 3 | India | 26 |
| 4 | United Kingdom | 24 |
| 5 | Italy | 21 |
| 6 | Germany | 15 |
| 7 | France | 15 |
| 8 | Brazil | 14 |
| 9 | Iran | 14 |
| 10 | Australia | 12 |
| # | Keyword | Papers |
|---|---|---|
| 1 | Bayesian estimation | 26 |
| 2 | expectation-maximization algorithm | 26 |
| 3 | parameter estimation | 22 |
| 4 | consistency | 17 |
| 5 | asymptotic confidence intervals | 11 |
| 6 | asymptotic normality | 10 |
| 7 | asymptotic properties | 10 |
| 8 | likelihood ratio test | 10 |
| 9 | reliability analysis | 9 |
Most-cited papers#
Cite this page
Scholar4AI. (2026). Papers on “maximum likelihood estimation”. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/keywords/maximum-likelihood-estimation
@misc{scholar4ai-keywords-maximum-likelihood-estimation,
author = {{Scholar4AI}},
title = {Papers on “maximum likelihood estimation”},
year = {2026},
howpublished = {\url{https://scholar4ai.com/keywords/maximum-likelihood-estimation}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}