---
title: "US health surveys (NHANES, BRFSS, MEPS): papers using it"
description: "From Nov 2023 to Oct 2026, 186 archived papers mentioned US health surveys (NHANES, BRFSS, MEPS) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jul 2026 (10)."
url: https://scholar4ai.com/datasets/us-health-surveys-nhanes-brfss-meps
markdown_url: https://scholar4ai.com/datasets/us-health-surveys-nhanes-brfss-meps.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 186 archived papers mentioned US health surveys (NHANES, BRFSS, MEPS) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jul… (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# US health surveys (NHANES, BRFSS, MEPS)

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/6.md)

Population health statistics, disease burden, health surveys and pandemic trackers.

- data category: Health data
- 1 paper in the last 7 days
- Names searched for: NHANES, Behavioral Risk Factor Surveillance System, BRFSS, Medical Expenditure Panel Survey

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Health data datasets: https://scholar4ai.com/datasets/health-data.md



## Key findings

- From Nov 2023 to Oct 2026, 186 archived papers mentioned US health surveys (NHANES, BRFSS, MEPS) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jul 2026 (10).
- US health surveys (NHANES, BRFSS, MEPS) was mentioned in 3 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #103 of the 246 datasets mentioned.
- By journal category: Statistics (1), Health Economics and Policy (1) and Economics (1).
- Most of them appeared in BMC Medical Research Methodology (1), Cost Effectiveness and Resource Allocation (1) and Food Policy (1).
- From 2017 to 2026 (so far), US health surveys (NHANES, BRFSS, MEPS) was mentioned in 279 papers in the tracked journals, most of them in health economics and policy (136), economics (52) and statistics (44).
- 60 of them were published in 2025, against 15 in 2017.
- Since 2023, the institutions with the most of these papers were IZA - Institute of Labor Economics (6), Columbia University (5) and National Bureau of Economic Research (5).
- The journals publishing most of them were SSM - Population Health (11), Journal of Public Health Policy (9) and Social Science & Medicine (8).
- The most-cited of them is “An efficient convolutional neural network for coronary heart disease prediction” (Expert Systems with Applications, 2020), with 273 citations.
- Papers use US health surveys (NHANES, BRFSS, MEPS) most often with UCI Machine Learning Repository (14), American Community Survey (12) and Health and Retirement Study (12); it has 27 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 50 | 71 | 65 | 186 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 9 | 3 | 6 | 8 | 10 | 9 | 15 | 23 | 26 | 27 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 5 | 3 | 1 | 1 | 4 | 1 | 2 | 18 | 11 | 6 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 2 | 1 | 1 | 0 | 7 | 6 | 9 | 6 | 12 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 1 | 0 | 1 | 1 | 2 | 0 | 5 | 12 | 10 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 2 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 15 | 9 | 8 | 12 | 15 | 19 | 24 | 57 | 60 | 60 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [SSM - Population Health](https://scholar4ai.com/journals/ssm-population-health.md) | 11 |
| 2 | [Journal of Public Health Policy](https://scholar4ai.com/journals/journal-of-public-health-policy.md) | 9 |
| 3 | [Social Science & Medicine](https://scholar4ai.com/journals/social-science-medicine.md) | 8 |
| 4 | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 8 |
| 5 | [BMC Medical Research Methodology](https://scholar4ai.com/journals/bmc-medical-research-methodology.md) | 8 |
| 6 | [Cost Effectiveness and Resource Allocation](https://scholar4ai.com/journals/cost-effectiveness-and-resource-allocation.md) | 7 |
| 7 | [Economics & Human Biology](https://scholar4ai.com/journals/economics-human-biology.md) | 7 |
| 8 | [PharmacoEconomics - Open](https://scholar4ai.com/journals/pharmacoeconomics-open.md) | 7 |
| 9 | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 5 |
| 10 | [Health Economics Review](https://scholar4ai.com/journals/health-economics-review.md) | 5 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [IZA - Institute of Labor Economics](https://scholar4ai.com/institutions/iza-institute-of-labor-economics.md) | 6 |
| 2 | [Columbia University](https://scholar4ai.com/institutions/columbia-university.md) | 5 |
| 3 | [National Bureau of Economic Research](https://scholar4ai.com/institutions/national-bureau-of-economic-research.md) | 5 |
| 4 | [Stanford University](https://scholar4ai.com/institutions/stanford-university.md) | 5 |
| 5 | [The Ohio State University](https://scholar4ai.com/institutions/the-ohio-state-university.md) | 5 |
| 6 | [University of Southern California](https://scholar4ai.com/institutions/university-of-southern-california.md) | 5 |
| 7 | [Duke University](https://scholar4ai.com/institutions/duke-university.md) | 4 |
| 8 | King Saud University | 4 |
| 9 | [University of Michigan](https://scholar4ai.com/institutions/university-of-michigan.md) | 4 |
| 10 | Vanderbilt University | 4 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 101 |
| 2 | United Kingdom | 27 |
| 3 | China | 20 |
| 4 | Germany | 14 |
| 5 | Italy | 12 |
| 6 | Spain | 11 |
| 7 | Canada | 10 |
| 8 | Australia | 8 |
| 9 | Ireland | 7 |
| 10 | India | 6 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | NHANES | 21 |
| 2 | [health care costs](https://scholar4ai.com/keywords/health-care-costs.md) | 13 |
| 3 | [gender differences](https://scholar4ai.com/keywords/gender-differences.md) | 12 |
| 4 | Behavioral Risk Factor Surveillance System | 11 |
| 5 | Medical Expenditure Panel Survey | 11 |
| 6 | [quality-adjusted life years](https://scholar4ai.com/keywords/quality-adjusted-life-years.md) | 11 |
| 7 | diabetes mellitus | 10 |
| 8 | [class imbalance](https://scholar4ai.com/keywords/class-imbalance.md) | 9 |
| 9 | [health disparities](https://scholar4ai.com/keywords/health-disparities.md) | 9 |
| 10 | obesity | 9 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 273 | 3.5 | [An efficient convolutional neural network for coronary heart disease prediction](https://doi.org/10.1016/j.eswa.2020.113408) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2020-05-21 | Aniruddha Dutta, Tamal Batabyal, Meheli Basu et al. |
| 2 | 102 | 4.3 | [Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods](https://doi.org/10.1186/s40537-024-01011-7) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 2024-11-07 | Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El‐Hafeez et al. |
| 3 | 96 | 0.9 | [Marriage and health: Selection, protection, and assortative mating](https://doi.org/10.1016/j.euroecorev.2018.02.005) | [European Economic Review](https://scholar4ai.com/journals/european-economic-review.md) | 2018-03-18 | Nezih Guner X, Yuliya A. Kulikova, Joan Llull |
| 4 | 65 | 1.1 | [Graph-based multi-label disease prediction model learning from medical data and domain knowledge](https://doi.org/10.1016/j.knosys.2021.107662) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2021-11-01 | Thuan Pham, Xiaohui Tao, Ji Zhang et al. |
| 5 | 62 | 1.9 | [Robots, meaning, and self-determination](https://doi.org/10.1016/j.respol.2024.104987) | [Research Policy](https://scholar4ai.com/journals/research-policy.md) | 2024-03-12 | Milena Nikolova, Femke Cnossen, Boris Nikolaev |

## Used together with

Papers use US health surveys (NHANES, BRFSS, MEPS) most often with UCI Machine Learning Repository (14), American Community Survey (12) and Health and Retirement Study (12); it has 27 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

*What papers use US health surveys (NHANES, BRFSS, MEPS) together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [UCI Machine Learning Repository](https://scholar4ai.com/datasets/uci-machine-learning-repository.md) | Dataset | 14 | 3.8 |
| [American Community Survey](https://scholar4ai.com/datasets/american-community-survey.md) | Dataset | 12 | 6.8 |
| [Health and Retirement Study](https://scholar4ai.com/datasets/health-and-retirement-study.md) | Dataset | 12 | 7.4 |
| [Bureau of Labor Statistics](https://scholar4ai.com/datasets/bureau-of-labor-statistics.md) | Dataset | 11 | 5.1 |
| [Eurostat](https://scholar4ai.com/datasets/eurostat.md) | Dataset | 8 | 0.9 |
| [Global Burden of Disease](https://scholar4ai.com/datasets/global-burden-of-disease.md) | Dataset | 8 | 2.6 |
| [PSID](https://scholar4ai.com/datasets/psid.md) | Dataset | 8 | 6.9 |
| [IPUMS](https://scholar4ai.com/datasets/ipums.md) | Dataset | 7 | 7.9 |
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 7 | 2.0 |
| [Demographic and Health Surveys (DHS)](https://scholar4ai.com/datasets/demographic-and-health-surveys-dhs.md) | Dataset | 5 | 2.2 |
| [MIMIC](https://scholar4ai.com/datasets/mimic.md) | Dataset | 5 | 2.5 |
| [WITS / TRAINS tariff data](https://scholar4ai.com/datasets/wits-trains-tariff-data.md) | Dataset | 5 | 1.2 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning US health surveys (NHANES, BRFSS, MEPS) in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-31 | [Validation of the Kythera Labs all-payer real-world data asset: a provenance-anchored nine-block framework for tokenized evidence generation](https://doi.org/10.1186/s12874-026-03070-1) | [BMC Medical Research Methodology](https://scholar4ai.com/journals/bmc-medical-research-methodology.md) | Onur Başer | City University of New York; Boğaziçi University |
| 2026-10-27 | [Trends in telehealth utilization and cost of office-based care in the United States: evidence from the Medical Expenditure Panel Survey, 2020–2023](https://doi.org/10.1186/s12962-026-00856-4) | [Cost Effectiveness and Resource Allocation](https://scholar4ai.com/journals/cost-effectiveness-and-resource-allocation.md) | Kolade Olatunde | University of Arkansas at Fayetteville |
| 2026-10-24 | [The intensive margin of food access and its association with health outcomes: evidence of heterogeneous effects across U.S. Communities](https://doi.org/10.1016/j.foodpol.2026.103212) | [Food Policy](https://scholar4ai.com/journals/food-policy.md) | Qingwei Qiao, Syed Badruddoza, Modhurima Dey Amin et al. | Washington State University; Texas Tech University; Economic Research Service |

## Cite this page

Scholar4AI. (2026). US health surveys (NHANES, BRFSS, MEPS). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/us-health-surveys-nhanes-brfss-meps

```bibtex
@misc{scholar4ai-datasets-us-health-surveys-nhanes-brfss-meps,
  author = {{Scholar4AI}},
  title = {US health surveys (NHANES, BRFSS, MEPS)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/us-health-surveys-nhanes-brfss-meps}},
  urldate = {2026-11-05},
  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/).