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. Also as Markdown.

← Top research funders

Key findings#

From 2017 to 2026 (so far), Engineering and Physical Sciences Research Council was named as a funder of 2,426 papers in the tracked journals, most of them in AI (1,120), operations research (494) and economics (378).
It ranks #35 among the funders of the tracked journals' papers from 2023 to 2025.
199 of them were published in 2025, against 286 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 (53).
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#

20172026 (so far)

Papers per publication year and category
Category	2017	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	109	104	107	100	147	138	123	128	114	50
Operations Research	71	66	55	53	62	53	35	35	38	26
Economics	64	56	40	56	34	41	18	22	24	23
Statistics	17	20	21	22	31	42	23	18	13	19
Management	10	12	6	10	18	12	6	6	2	5
Information Systems	4	4	8	4	5	6	4	2	3	2
Finance	5	4	4	4	0	5	0	4	2	4
Higher Education and Research	1	1	5	1	3	0	2	1	1	0
Health Economics and Policy	1	2	1	2	0	2	3	0	2	2
Marketing	3	0	3	2	1	1	1	0	0	0
Tourism and Hospitality	1	1	0	0	1	0	1	0	0	0
Accounting	0	0	0	1	0	0	0	1	0	0
All categories	286	270	250	255	302	300	216	217	199	131

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Statistics and Computing	37
2	Nature Machine Intelligence	35
3	Pattern Recognition	34
4	Energy Policy	33
5	Expert Systems with Applications	33
6	IEEE Transactions on Pattern Analysis and Machine Intelligence	30
7	Machine Learning	27
8	Artificial Intelligence	24
9	International Journal of Computer Vision	24
10	Information Fusion	24

Institutions with the most papers, since 2023
#	Institution	Papers
1	University of Oxford	83
2	Imperial College London	67
3	University College London	53
4	University of Edinburgh	52
5	University of Surrey	50
6	Lancaster University	49
7	University of Cambridge	43
8	University of Manchester	42
9	The Alan Turing Institute	38
10	University of Bristol	32

Countries with the most papers, since 2023
#	Country	Papers
1	United Kingdom	739
2	China	131
3	United States	77
4	Germany	59
5	Italy	30
6	France	27
7	Austria	21
8	Spain	19
9	Netherlands	19
10	Australia	18

Keywords with the most papers, since 2023
#	Keyword	Papers
1	computational efficiency	14
2	explainable AI	14
3	large language models	13
4	uncertainty quantification	13
5	few-shot learning	11
6	multi-objective optimization	11
7	self-supervised learning	11
8	United Kingdom	10
9	decarbonization	10
10	deep neural network	10

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	12,153	135.1	Squeeze-and-Excitation Networks	IEEE Transactions on Pattern Analysis and Machine Intelligence	2019-05-02	Jie Hu, Li Shen, Samuel Albanie et al.
2	3,404	39.6	Res2Net: A New Multi-Scale Backbone Architecture	IEEE Transactions on Pattern Analysis and Machine Intelligence	2019-08-30	Shanghua Gao, Ming‐Ming Cheng, Kai Zhao et al.
3	1,872	22.3	Principles alone cannot guarantee ethical AI	Nature Machine Intelligence	2019-11-04	Brent Mittelstadt
4	1,643	14.1	A review of affective computing: From unimodal analysis to multimodal fusion	Information Fusion	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	International Journal of Computer Vision	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	Information Fusion	2021-03-01	Hui Li, Xiao‐Jun Wu, Josef Kittler
7	1,187	11.6	Just transition: Integrating climate, energy and environmental justice	Energy Policy	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	Nature Machine Intelligence	2021-03-15	Michael Roberts, Derek Driggs, Matthew Thorpe et al.
9	885	12.7	Meta-Learning in Neural Networks: A Survey	IEEE Transactions on Pattern Analysis and Machine Intelligence	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	IEEE Transactions on Neural Networks and Learning Systems	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

@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}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).