Quantitative Assessment of Scholarly Output and ROI in ARC-Funded Australian Research

Government funding programs administered by the Australian Research Council (ARC) aim to advance national research priorities while generating scholarly and socio-economic impact. This study employs a descriptive bibliometric benchmarking approach to examine the relationship between funding levels and scholarly output for publications explicitly acknowledging ARC support. Using project-level funding data linked with journal articles published between 2009 and 2016, we analyze 10,565 ARC-funded projects receiving a total of AUD 4.6 billion and producing 54,639 journal publications. On average, each project received approximately AUD 437,720 and generated five publications, corresponding to a cost of about AUD 84,700 per article. We compare research productivity, citation impact, and return on investment across ARC Discovery and Linkage programs, as well as between STEM and HASS disciplines. The results reveal no strong correlation between funding amount and either publication volume or citation impact across ARC programs. STEM projects generally exhibit higher returns on investment and citation impact; however, a subset of HASS projects achieves exceptionally high efficiency relative to funding received. Notably, projects funded below AUD 100,000 demonstrate the highest return on investment in terms of both publication productivity and normalized citation impact. These findings suggest that smaller grants can yield disproportionately high scholarly returns, offering important implications for research funding allocation, efficiency evaluation, and performance assessment in public research systems.

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Publications
Published
2026-04-01
DOI
https://doi.org/10.3390/publications14020022
Primary Topic
scientometrics and bibliometrics research
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article
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Quantitative Assessment of Scholarly Output and ROI in ARC-Funded Australian Research

Karen Blackmore, Xin Gu, Shaleeza Sohail
Publications
scientometrics and bibliometrics research
article

Quantitative Assessment of Scholarly Output and ROI in ARC-Funded Australian Research

Karen Blackmore, Xin Gu, Shaleeza Sohail
article en

Abstract

Government funding programs administered by the Australian Research Council (ARC) aim to advance national research priorities while generating scholarly and socio-economic impact. This study employs a descriptive bibliometric benchmarking approach to examine the relationship between funding levels and scholarly output for publications explicitly acknowledging ARC support. Using project-level funding data linked with journal articles published between 2009 and 2016, we analyze 10,565 ARC-funded projects receiving a total of AUD 4.6 billion and producing 54,639 journal publications. On average, each project received approximately AUD 437,720 and generated five publications, corresponding to a cost of about AUD 84,700 per article. We compare research productivity, citation impact, and return on investment across ARC Discovery and Linkage programs, as well as between STEM and HASS disciplines. The results reveal no strong correlation between funding amount and either publication volume or citation impact across ARC programs. STEM projects generally exhibit higher returns on investment and citation impact; however, a subset of HASS projects achieves exceptionally high efficiency relative to funding received. Notably, projects funded below AUD 100,000 demonstrate the highest return on investment in terms of both publication productivity and normalized citation impact. These findings suggest that smaller grants can yield disproportionately high scholarly returns, offering important implications for research funding allocation, efficiency evaluation, and performance assessment in public research systems.

PublicationsVol. 14(2)
NSW Department of Education (AU), The King's College (US), University of Newcastle Australia (AU)
Openalex Percentile: Top 35%
scientometrics and bibliometrics research
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Quantitative Assessment of Scholarly Output and ROI in ARC-Funded Australian Research — Karen Blackmore, Xin Gu, et al. · Publications (2026) | TGRS Research Map | TGRS