Papers on “missing data”
Research on “missing data” 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 “missing data” appeared in 1,193 papers in the tracked journals, most of them in AI (570), statistics (396) and operations research (76).
- 166 of them were published in 2025, against 76 in 2017.
- Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (15), Harbin Institute of Technology (13) and Southwest Jiaotong University (13).
- The journals publishing most of them were BMC Medical Research Methodology (59), Expert Systems with Applications (50) and Knowledge-Based Systems (31).
- The most-cited of them is “A survey on missing data in machine learning” (Journal Of Big Data, 2021), with 1,068 citations.
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 27 | 35 | 48 | 35 | 58 | 56 | 71 | 71 | 85 | 84 |
| Statistics | 32 | 38 | 37 | 45 | 33 | 36 | 32 | 43 | 49 | 51 |
| Operations Research | 7 | 6 | 4 | 13 | 3 | 11 | 7 | 4 | 13 | 8 |
| Health Economics and Policy | 3 | 7 | 6 | 0 | 2 | 8 | 7 | 4 | 5 | 6 |
| Economics | 2 | 4 | 5 | 2 | 5 | 7 | 3 | 5 | 5 | 6 |
| Information Systems | 3 | 4 | 3 | 1 | 1 | 2 | 4 | 2 | 2 | 3 |
| Finance | 1 | 0 | 1 | 0 | 0 | 2 | 1 | 1 | 5 | 3 |
| Higher Education and Research | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
| Management | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 2 | 1 | 1 |
| Marketing | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| Tourism and Hospitality | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Accounting | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| All categories | 76 | 95 | 106 | 98 | 103 | 123 | 126 | 134 | 166 | 166 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | BMC Medical Research Methodology | 59 |
| 2 | Expert Systems with Applications | 50 |
| 3 | Knowledge-Based Systems | 31 |
| 4 | Information Sciences | 26 |
| 5 | Pattern Recognition | 25 |
| 6 | IEEE Transactions on Knowledge and Data Engineering | 23 |
| 7 | Information Fusion | 23 |
| 8 | Statistics and Computing | 18 |
| 9 | Applied Intelligence | 17 |
| 10 | Neural Computing and Applications | 16 |
| # | Institution | Papers |
|---|---|---|
| 1 | Chinese Academy of Sciences | 15 |
| 2 | Harbin Institute of Technology | 13 |
| 3 | Southwest Jiaotong University | 13 |
| 4 | University of Electronic Science and Technology of China | 12 |
| 5 | Sichuan University | 11 |
| 6 | Dalian University of Technology | 10 |
| 7 | Southwest University | 9 |
| 8 | Xidian University | 9 |
| 9 | Beijing University of Technology | 8 |
| 10 | National University of Defense Technology | 8 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 280 |
| 2 | United States | 103 |
| 3 | United Kingdom | 52 |
| 4 | Germany | 35 |
| 5 | Australia | 27 |
| 6 | Canada | 27 |
| 7 | Italy | 25 |
| 8 | Netherlands | 23 |
| 9 | Hong Kong | 22 |
| 10 | India | 19 |
| # | Keyword | Papers |
|---|---|---|
| 1 | missing data imputation | 45 |
| 2 | multiple imputation | 45 |
| 3 | missing at random | 28 |
| 4 | multi-view clustering | 25 |
| 5 | feature selection | 22 |
| 6 | incomplete multi-view clustering | 22 |
| 7 | complete case analysis | 19 |
| 8 | data quality | 19 |
| 9 | missing not at random | 18 |
Most-cited papers#
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 1,068 | 17.7 | A survey on missing data in machine learning | Journal Of Big Data | 2021-10-27 | Tlamelo Emmanuel, Thabiso Maupong, Dimane Mpoeleng et al. |
| 2 | 618 | 6.9 | Uncertainty in big data analytics: survey, opportunities, and challenges | Journal Of Big Data | 2019-06-04 | Reihaneh H. Hariri, Erik M. Fredericks, Kate M. Bowers |
| 3 | 611 | 6.7 | Missing value imputation: a review and analysis of the literature (2006–2017) | Artificial Intelligence Review | 2019-04-05 | Wei‐Chao Lin, Chih‐Fong Tsai |
| 4 | 376 | 4.7 | Sensor data quality: a systematic review | Journal Of Big Data | 2020-02-11 | Hui Yie Teh, Andreas W. Kempa-Liehr, Kevin I‐Kai Wang |
| 5 | 374 | 3.9 | A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation | Transportation Research Part C Emerging Technologies | 2018-11-28 | Xinyu Chen, Zhaocheng He, Lijun Sun |
Cite this page
Scholar4AI. (2026). Papers on “missing data”. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/keywords/missing-data
@misc{scholar4ai-keywords-missing-data,
author = {{Scholar4AI}},
title = {Papers on “missing data”},
year = {2026},
howpublished = {\url{https://scholar4ai.com/keywords/missing-data}},
urldate = {2026-11-05},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}