Australian Research Council

Papers in the tracked journals that name Australian 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.

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Key findings#

From 2017 to 2026 (so far), Australian Research Council was named as a funder of 2,849 papers in the tracked journals, most of them in AI (1,142), economics (643) and operations research (430).
It ranks #25 among the funders of the tracked journals' papers from 2023 to 2025.
290 of them were published in 2025, against 269 in 2017.
Since 2023, the institutions with the most of these papers were The University of Sydney (141), Monash University (139) and The University of Queensland (139).
The journals publishing most of them were IEEE Transactions on Knowledge and Data Engineering (70), IEEE Transactions on Pattern Analysis and Machine Intelligence (53) and IEEE Transactions on Neural Networks and Learning Systems (44).
The most-cited of them is “A Comprehensive Survey on Graph Neural Networks” (IEEE Transactions on Neural Networks and Learning Systems, 2020), with 10,982 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	94	101	115	122	134	133	136	118	127	62
Economics	65	65	89	87	73	50	52	58	59	45
Operations Research	47	54	36	53	50	33	34	42	42	39
Finance	16	19	16	19	25	11	16	11	12	13
Statistics	16	21	13	18	10	14	10	14	8	11
Management	12	7	7	9	14	4	9	14	10	7
Higher Education and Research	2	4	4	3	12	15	11	13	11	8
Tourism and Hospitality	2	4	4	8	4	2	4	7	8	8
Information Systems	6	2	7	6	3	5	5	5	4	3
Health Economics and Policy	4	0	6	3	2	5	2	3	4	1
Marketing	3	3	2	3	0	1	1	2	1	3
Accounting	2	1	0	0	1	2	2	2	4	5
All categories	269	281	299	331	328	275	282	289	290	205

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	IEEE Transactions on Knowledge and Data Engineering	70
2	IEEE Transactions on Pattern Analysis and Machine Intelligence	53
3	IEEE Transactions on Neural Networks and Learning Systems	44
4	Transportation Research Part C Emerging Technologies	40
5	Knowledge-Based Systems	37
6	Pattern Recognition	33
7	Expert Systems with Applications	28
8	Journal of Economic Behavior & Organization	26
9	IEEE Transactions on Fuzzy Systems	26
10	Computers and Education Artificial Intelligence	22

Institutions with the most papers, since 2023
#	Institution	Papers
1	The University of Sydney	141
2	Monash University	139
3	The University of Queensland	139
4	University of Technology Sydney	129
5	UNSW Sydney	128
6	The University of Melbourne	104
7	Macquarie University	99
8	RMIT University	55
9	Australian National University	54
10	Deakin University	51

Countries with the most papers, since 2023
#	Country	Papers
1	Australia	988
2	China	272
3	United States	123
4	United Kingdom	87
5	Hong Kong	58
6	Germany	50
7	Singapore	28
8	Canada	27
9	France	24
10	Austria	21

Keywords with the most papers, since 2023
#	Keyword	Papers
1	graph neural networks	30
2	large language models	21
3	contrastive learning	19
4	Australia	16
5	feature selection	15
6	federated learning	14
7	knowledge distillation	14
8	convergence analysis	13
9	image classification	13
10	explainable AI	12

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	10,982	138.6	A Comprehensive Survey on Graph Neural Networks	IEEE Transactions on Neural Networks and Learning Systems	2020-03-24	Zonghan Wu, Shirui Pan, Fengwen Chen et al.
2	5,301	55.1	Explanation in artificial intelligence: Insights from the social sciences	Artificial Intelligence	2018-10-26	Tim Miller
3	2,769	42.4	A review of uncertainty quantification in deep learning: Techniques, applications and challenges	Information Fusion	2021-05-23	Moloud Abdar, Farhad Pourpanah, Sadiq Hussain et al.
4	2,413	31.7	Deep Learning for 3D Point Clouds: A Survey	IEEE Transactions on Pattern Analysis and Machine Intelligence	2020-06-29	Yulan Guo, Hanyun Wang, Qingyong Hu et al.
5	1,602	15.1	Learning under Concept Drift: A Review	IEEE Transactions on Knowledge and Data Engineering	2018-01-01	Jie Lu B, Anjin Liu, Fan Dong et al.
6	1,369	18.3	Recurrent Neural Networks for Time Series Forecasting: Current status and future directions	International Journal of Forecasting	2020-08-10	Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
7	1,362	40.4	Unifying Large Language Models and Knowledge Graphs: A Roadmap	IEEE Transactions on Knowledge and Data Engineering	2024-01-10	Shirui Pan, Linhao Luo, Yufei Wang et al.
8	1,063	14.1	ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels	Data Mining and Knowledge Discovery	2020-07-13	Angus Dempster, François Petitjean, Geoffrey I. Webb
9	973	8.8	Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data	IEEE Transactions on Neural Networks and Learning Systems	2017-08-17	Salman H. Khan, Munawar Hayat, Mohammed Bennamoun et al.
10	944	16.5	Forecasting: theory and practice	International Journal of Forecasting	2022-01-19	Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos et al.

Cite this page

Scholar4AI. (2026). Australian Research Council. Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/funders/australian-research-council

@misc{scholar4ai-funders-australian-research-council,
  author = {{Scholar4AI}},
  title = {Australian Research Council},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/funders/australian-research-council}},
  urldate = {2026-10-31},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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