---
title: "Engineering and Physical Sciences Research Council"
description: "From 2017 to 2026 (so far), Engineering and Physical Sciences Research Council was named as a funder of 2,513 papers in the tracked journals, most of them in AI (1,120), operations research (494) and economics (420). It ranks #35 among the funders of the tracked journals' papers from 2023 to 2025."
url: https://scholar4ai.com/funders/engineering-and-physical-sciences-research-council
markdown_url: https://scholar4ai.com/funders/engineering-and-physical-sciences-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), Engineering and Physical Sciences Research Council was named as a funder of 2,513 papers in the tracked journals, most of them in AI (1,120), operations research (494) and economics (420). (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)
---

# Engineering and Physical Sciences Research Council

Papers in the tracked journals that name Engineering and Physical Sciences 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), Engineering and Physical Sciences Research Council was named as a funder of 2,513 papers in the tracked journals, most of them in AI (1,120), operations research (494) and economics (420).
- It ranks #35 among the funders of the tracked journals' papers from 2023 to 2025.
- 208 of them were published in 2025, against 298 in 2017.
- Since 2023, the institutions with the most of these papers were University of Oxford (83), Imperial College London (67) and University College London (57).
- The journals publishing most of them were Statistics and Computing (37), Nature Machine Intelligence (35) and Pattern Recognition (34).
- The most-cited of them is “Squeeze-and-Excitation Networks” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019), with 12,153 citations.

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 109 | 104 | 107 | 100 | 147 | 138 | 123 | 128 | 114 | 50 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 71 | 66 | 55 | 53 | 62 | 53 | 35 | 35 | 38 | 26 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 72 | 66 | 43 | 63 | 38 | 42 | 19 | 24 | 27 | 26 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 17 | 20 | 21 | 22 | 31 | 42 | 23 | 18 | 13 | 19 |
| [Management](https://scholar4ai.com/categories/management.md) | 13 | 14 | 13 | 14 | 24 | 15 | 9 | 8 | 3 | 5 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 4 | 4 | 8 | 4 | 6 | 6 | 5 | 4 | 6 | 4 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 5 | 4 | 4 | 4 | 0 | 5 | 0 | 4 | 2 | 4 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 2 | 2 | 2 | 2 | 0 | 2 | 3 | 1 | 4 | 2 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 1 | 1 | 5 | 1 | 3 | 0 | 2 | 1 | 1 | 0 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 3 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 298 | 282 | 261 | 266 | 313 | 304 | 221 | 224 | 208 | 136 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 37 |
| 2 | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 35 |
| 3 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 34 |
| 4 | [Energy Policy](https://scholar4ai.com/journals/energy-policy.md) | 33 |
| 5 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 33 |
| 6 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 30 |
| 7 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 27 |
| 8 | [Artificial Intelligence](https://scholar4ai.com/journals/artificial-intelligence.md) | 24 |
| 9 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 24 |
| 10 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 24 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | University of Oxford | 83 |
| 2 | Imperial College London | 67 |
| 3 | University College London | 57 |
| 4 | University of Edinburgh | 54 |
| 5 | University of Surrey | 50 |
| 6 | Lancaster University | 49 |
| 7 | University of Cambridge | 45 |
| 8 | University of Manchester | 43 |
| 9 | The Alan Turing Institute | 38 |
| 10 | University of Bristol | 34 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United Kingdom | 765 |
| 2 | China | 132 |
| 3 | United States | 79 |
| 4 | Germany | 60 |
| 5 | Italy | 30 |
| 6 | France | 27 |
| 7 | Austria | 21 |
| 8 | Netherlands | 20 |
| 9 | Australia | 19 |
| 10 | Spain | 19 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | computational efficiency | 14 |
| 2 | [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) | 14 |
| 3 | uncertainty quantification | 14 |
| 4 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 13 |
| 5 | United Kingdom | 12 |
| 6 | decarbonization | 11 |
| 7 | few-shot learning | 11 |
| 8 | multi-objective optimization | 11 |
| 9 | net-zero emissions | 11 |
| 10 | self-supervised learning | 11 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 12,153 | 135.1 | [Squeeze-and-Excitation Networks](https://doi.org/10.1109/tpami.2019.2913372) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2019-05-02 | Jie Hu, Li Shen, Samuel Albanie et al. |
| 2 | 3,404 | 39.6 | [Res2Net: A New Multi-Scale Backbone Architecture](https://doi.org/10.1109/tpami.2019.2938758) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2019-08-30 | Shanghua Gao, Ming‐Ming Cheng, Kai Zhao et al. |
| 3 | 1,872 | 22.3 | [Principles alone cannot guarantee ethical AI](https://doi.org/10.1038/s42256-019-0114-4) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2019-11-04 | Brent Mittelstadt |
| 4 | 1,643 | 14.1 | [A review of affective computing: From unimodal analysis to multimodal fusion](https://doi.org/10.1016/j.inffus.2017.02.003) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2017-02-03 | Soujanya Poria, Erik Cambria, Rajiv Bajpai et al. |
| 5 | 1,221 | 16.8 | [HOTA: A Higher Order Metric for Evaluating Multi-object Tracking](https://doi.org/10.1007/s11263-020-01375-2) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 2020-10-08 | Jonathon Luiten, Aljos̆a Os̆ep, Patrick Dendorfer et al. |
| 6 | 1,188 | 17.5 | [RFN-Nest: An end-to-end residual fusion network for infrared and visible images](https://doi.org/10.1016/j.inffus.2021.02.023) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2021-03-01 | Hui Li, Xiao‐Jun Wu, Josef Kittler |
| 7 | 1,187 | 11.6 | [Just transition: Integrating climate, energy and environmental justice](https://doi.org/10.1016/j.enpol.2018.04.014) | [Energy Policy](https://scholar4ai.com/journals/energy-policy.md) | 2018-04-24 | Darren McCauley, Raphael James Heffron |
| 8 | 1,043 | 15.4 | [Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans](https://doi.org/10.1038/s42256-021-00307-0) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2021-03-15 | Michael Roberts, Derek Driggs, Matthew Thorpe et al. |
| 9 | 885 | 12.7 | [Meta-Learning in Neural Networks: A Survey](https://doi.org/10.1109/tpami.2021.3079209) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2021-01-01 | Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli et al. |
| 10 | 846 | 8.1 | [Applications of Deep Learning and Reinforcement Learning to Biological Data](https://doi.org/10.1109/tnnls.2018.2790388) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2018-01-31 | Mufti Mahmud, M. Shamim Kaiser, Amir Hussain et al. |

## Cite this page

Scholar4AI. (2026). Engineering and Physical Sciences Research Council. Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/funders/engineering-and-physical-sciences-research-council

```bibtex
@misc{scholar4ai-funders-engineering-and-physical-sciences-research-council,
  author = {{Scholar4AI}},
  title = {Engineering and Physical Sciences Research Council},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/funders/engineering-and-physical-sciences-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/).