---
title: "Maximum likelihood estimation research: papers and trends"
description: "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)."
url: https://scholar4ai.com/keywords/maximum-likelihood-estimation
markdown_url: https://scholar4ai.com/keywords/maximum-likelihood-estimation.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 “maximum likelihood estimation” appeared in 824 papers in the tracked journals, most of them in statistics (493), AI (111) and operations research (99). (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 “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.

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

## 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

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 45 | 46 | 53 | 51 | 66 | 58 | 43 | 45 | 49 | 37 |
| [AI](https://scholar4ai.com/categories/ai.md) | 12 | 8 | 6 | 10 | 12 | 23 | 11 | 12 | 11 | 6 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 11 | 10 | 12 | 8 | 6 | 10 | 11 | 8 | 13 | 10 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 10 | 12 | 8 | 9 | 15 | 7 | 12 | 6 | 8 | 3 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 6 | 3 | 3 | 0 | 3 | 4 | 3 | 2 | 2 | 0 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 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

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 28 |
| 2 | [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | 27 |
| 3 | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | 23 |
| 4 | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 19 |
| 5 | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 15 |
| 6 | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 12 |
| 7 | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 12 |
| 8 | [Statistics & Probability Letters](https://scholar4ai.com/journals/statistics-probability-letters.md) | 10 |
| 9 | [Journal of Multivariate Analysis](https://scholar4ai.com/journals/journal-of-multivariate-analysis.md) | 9 |
| 10 | [Journal of Econometrics](https://scholar4ai.com/journals/journal-of-econometrics.md) | 9 |

*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) | 9 |
| 2 | [University of Connecticut](https://scholar4ai.com/institutions/university-of-connecticut.md) | 8 |
| 3 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 6 |
| 4 | Indian Institute of Technology Kanpur | 5 |
| 5 | Le Mans Université | 5 |
| 6 | [Beijing Normal University](https://scholar4ai.com/institutions/beijing-normal-university.md) | 4 |
| 7 | National Research Tomsk State University | 4 |
| 8 | [Sapienza University of Rome](https://scholar4ai.com/institutions/sapienza-university-of-rome.md) | 4 |
| 9 | [University of Missouri](https://scholar4ai.com/institutions/university-of-missouri.md) | 4 |
| 10 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 3 |

*Countries with the most papers, since 2023*

| # | 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 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | Bayesian estimation | 26 |
| 2 | [expectation-maximization algorithm](https://scholar4ai.com/keywords/expectation-maximization-algorithm.md) | 26 |
| 3 | [parameter estimation](https://scholar4ai.com/keywords/parameter-estimation.md) | 22 |
| 4 | [consistency](https://scholar4ai.com/keywords/consistency.md) | 17 |
| 5 | asymptotic confidence intervals | 11 |
| 6 | [asymptotic normality](https://scholar4ai.com/keywords/asymptotic-normality.md) | 10 |
| 7 | [asymptotic properties](https://scholar4ai.com/keywords/asymptotic-properties.md) | 10 |
| 8 | likelihood ratio test | 10 |
| 9 | reliability analysis | 9 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 238 | 2.8 | [EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames](https://doi.org/10.1007/s11263-019-01209-w) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 2019-08-22 | Daniel Gehrig, Henri Rebecq, Guillermo Gallego et al. |
| 2 | 222 | 3.0 | [Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system](https://doi.org/10.1016/j.inffus.2020.08.005) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2020-08-05 | Gaoge Hu, Bingbing Gao, Yongmin Zhong et al. |
| 3 | 200 | 2.1 | [Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images](https://doi.org/10.1109/tnnls.2018.2874432) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2018-10-29 | Jiangtao Peng, Luoqing Li, Yuan Yan Tang |
| 4 | 187 | 2.7 | [Learning to Match Anchors for Visual Object Detection](https://doi.org/10.1109/tpami.2021.3050494) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2021-01-13 | Xiaosong Zhang, Fang Wan, Chang Liu et al. |
| 5 | 183 | 1.6 | [DRIMUX: Dynamic Rumor Influence Minimization with User Experience in Social Networks](https://doi.org/10.1109/tkde.2017.2728064) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2017-07-17 | Biao Wang, Ge Chen, Luoyi Fu et al. |

## 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

```bibtex
@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}
}
```

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