---
title: "National Health and Medical Research Council"
description: "From 2017 to 2026 (so far), National Health and Medical Research Council was named as a funder of 291 papers in the tracked journals, most of them in health economics and policy (228), AI (28) and economics (19). 33 of them were published in 2025, against 31 in 2017."
url: https://scholar4ai.com/funders/national-health-and-medical-research-council
markdown_url: https://scholar4ai.com/funders/national-health-and-medical-research-council.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From 2017 to 2026 (so far), National Health and Medical Research Council was named as a funder of 291 papers in the tracked journals, most of them in health economics and policy (228), AI (28) and economics (19). 33 of… (as of 2026-10-31)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-31T17:45:59+09:00
window: 2026-10-02 to 2026-10-31
source: OpenAlex (CC0)
---

# National Health and Medical Research Council

Papers in the tracked journals that name National Health and Medical Research Council as a funder. Funders are the organisations OpenAlex links to a paper from its funding information (Crossref metadata and the paper's acknowledgements); a paper counts once for each funder it names. Grant numbers are not shown.

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

## Key findings

- From 2017 to 2026 (so far), National Health and Medical Research Council was named as a funder of 291 papers in the tracked journals, most of them in health economics and policy (228), AI (28) and economics (19).
- 33 of them were published in 2025, against 31 in 2017.
- Since 2023, the institutions with the most of these papers were The University of Sydney (41), Monash University (31) and The University of Melbourne (30).
- The journals publishing most of them were Health Research Policy and Systems (29), PharmacoEconomics (19) and Applied Health Economics and Health Policy (11).
- The most-cited of them is “Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram” (Neural Networks, 2018), with 639 citations.

## 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) | 27 | 22 | 26 | 25 | 19 | 24 | 26 | 20 | 22 | 17 |
| [AI](https://scholar4ai.com/categories/ai.md) | 1 | 1 | 5 | 4 | 3 | 1 | 1 | 3 | 5 | 4 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 2 | 0 | 1 | 3 | 4 | 0 | 1 | 4 | 3 | 1 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 |
| All categories | 31 | 25 | 32 | 32 | 31 | 26 | 29 | 28 | 33 | 24 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Health Research Policy and Systems](https://scholar4ai.com/journals/health-research-policy-and-systems.md) | 29 |
| 2 | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 19 |
| 3 | [Applied Health Economics and Health Policy](https://scholar4ai.com/journals/applied-health-economics-and-health-policy.md) | 11 |
| 4 | [Health Policy](https://scholar4ai.com/journals/health-policy.md) | 8 |
| 5 | [The European Journal of Health Economics](https://scholar4ai.com/journals/the-european-journal-of-health-economics.md) | 6 |
| 6 | [Health Policy and Technology](https://scholar4ai.com/journals/health-policy-and-technology.md) | 4 |
| 7 | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 4 |
| 8 | [Journal of Public Health Policy](https://scholar4ai.com/journals/journal-of-public-health-policy.md) | 3 |
| 9 | [Food Policy](https://scholar4ai.com/journals/food-policy.md) | 3 |
| 10 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 2 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | The University of Sydney | 41 |
| 2 | Monash University | 31 |
| 3 | The University of Melbourne | 30 |
| 4 | UNSW Sydney | 17 |
| 5 | Deakin University | 15 |
| 6 | The University of Queensland | 12 |
| 7 | University of Technology Sydney | 11 |
| 8 | Flinders University | 10 |
| 9 | University of Newcastle Australia | 10 |
| 10 | Australian National University | 9 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | Australia | 112 |
| 2 | United Kingdom | 20 |
| 3 | United States | 11 |
| 4 | New Zealand | 6 |
| 5 | Italy | 5 |
| 6 | Netherlands | 5 |
| 7 | China | 4 |
| 8 | Germany | 4 |
| 9 | Canada | 3 |
| 10 | Spain | 3 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [cost-effectiveness](https://scholar4ai.com/keywords/cost-effectiveness.md) | 12 |
| 2 | Australia | 8 |
| 3 | quality-adjusted life years | 8 |
| 4 | health disparities | 7 |
| 5 | health equity | 7 |
| 6 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 6 |
| 7 | community participation | 6 |
| 8 | health care costs | 6 |
| 9 | knowledge translation | 6 |
| 10 | stakeholder engagement | 6 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 639 | 6.3 | [Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram](https://doi.org/10.1016/j.neunet.2018.04.018) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 2018-05-07 | Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann et al. |
| 2 | 442 | 5.1 | [catch22: CAnonical Time-series CHaracteristics](https://doi.org/10.1007/s10618-019-00647-x) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 2019-08-09 | Carl H Lubba, Sarab S. Sethi, Philip Knaute et al. |
| 3 | 355 | 4.8 | [Ensemble deep learning in bioinformatics](https://doi.org/10.1038/s42256-020-0217-y) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2020-08-17 | Yue Cao, Thomas A. Geddes, Jean Yee Hwa Yang et al. |
| 4 | 270 | 3.6 | [Leveraging Data Science to Combat COVID-19: A Comprehensive Review](https://doi.org/10.1109/tai.2020.3020521) | [IEEE Transactions on Artificial Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-artificial-intelligence.md) | 2020-08-01 | Siddique Latif, Muhammad Usman, Sanaullah Manzoor et al. |
| 5 | 235 | 2.2 | [Estimating the Reference Incremental Cost-Effectiveness Ratio for the Australian Health System](https://doi.org/10.1007/s40273-017-0585-2) | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 2017-12-22 | Laura Catherine Edney, Hossein Haji Ali Afzali, Terence Chai Cheng et al. |
| 6 | 211 | 2.3 | [Achieving the SDGs: Evaluating indicators to be used to benchmark and monitor progress towards creating healthy and sustainable cities](https://doi.org/10.1016/j.healthpol.2019.03.001) | [Health Policy](https://scholar4ai.com/journals/health-policy.md) | 2019-03-07 | Billie Giles‐Corti, Melanie Lowe, Jonathan Arundel |
| 7 | 172 | 3.8 | [The Use of a Discrete Choice Experiment Including Both Duration and Dead for the Development of an EQ-5D-5L Value Set for Australia](https://doi.org/10.1007/s40273-023-01243-0) | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 2023-01-31 | Richard Norman, Brendan James Mulhern, Emily Lancsar et al. |
| 8 | 126 | 1.2 | [Australian Utility Weights for the EORTC QLU-C10D, a Multi-Attribute Utility Instrument Derived from the Cancer-Specific Quality of Life Questionnaire, EORTC QLQ-C30](https://doi.org/10.1007/s40273-017-0582-5) | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 2017-12-21 | Madeleine Trudy King, Rosalie C. Viney, Alan Simon Pickard et al. |
| 9 | 106 | 3.7 | [Physicochemical graph neural network for learning protein–ligand interaction fingerprints from sequence data](https://doi.org/10.1038/s42256-024-00847-1) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2024-06-17 | Huan Yee Koh, Anh T. N. Nguyen, Shirui Pan et al. |
| 10 | 101 | 1.1 | [Out-of-pocket healthcare expenditure in Australia: trends, inequalities and the impact on household living standards in a high-income country with a universal health care system](https://doi.org/10.1186/s13561-019-0227-9) | [Health Economics Review](https://scholar4ai.com/journals/health-economics-review.md) | 2019-03-11 | Emily Joy Callander, Haylee Fox, Daniel Lindsay |

## Cite this page

Scholar4AI. (2026). National Health and Medical Research Council. Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/funders/national-health-and-medical-research-council

```bibtex
@misc{scholar4ai-funders-national-health-and-medical-research-council,
  author = {{Scholar4AI}},
  title = {National Health and Medical Research Council},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/funders/national-health-and-medical-research-council}},
  urldate = {2026-10-31},
  note = {Journal 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/).