| Indicator | University Z-score | Average country Z-score |
|---|---|---|
|
Multi-affiliation
|
1.211 | 1.180 |
|
Retracted Output
|
0.126 | -0.049 |
|
Institutional Self-Citation
|
-0.515 | -0.465 |
|
Discontinued Journals Output
|
-0.483 | -0.435 |
|
Hyperauthored Output
|
0.067 | 0.036 |
|
Leadership Impact Gap
|
0.391 | 0.084 |
|
Hyperprolific Authors
|
0.031 | 0.345 |
|
Institutional Journal Output
|
-0.268 | -0.225 |
|
Redundant Output
|
-0.438 | -0.536 |
Macquarie University demonstrates a robust commitment to scientific integrity, reflected in an exceptionally low overall risk score of 0.014. This strong performance is anchored by outstanding results in preventing publication in discontinued or institutional journals, showcasing a firm adherence to external validation and quality standards. The institution also effectively moderates risks related to hyperprolific authorship and institutional self-citation, outperforming national averages. However, areas requiring strategic attention include a higher-than-average rate of retracted output and a notable gap between its overall research impact and the impact of work where it holds intellectual leadership. According to SCImago Institutions Rankings data, the university's research excellence is particularly prominent in fields such as Psychology, Economics, Econometrics and Finance, Arts and Humanities, and Business, Management and Accounting. While the institution's specific mission statement was not available for this analysis, its low-risk profile aligns with the universal academic values of excellence and social responsibility. The identified vulnerabilities, especially the dependency on external partners for impact, could pose a long-term challenge to this mission by limiting the development of sovereign research capacity. It is recommended that Macquarie University leverage its solid integrity framework to strategically address these specific risks, thereby ensuring its reputation for excellence is both sustainable and built upon a foundation of strong internal leadership.
Macquarie University's Z-score for this indicator is 1.211, closely mirroring the national average for Australia, which stands at 1.180. This alignment indicates that the institution's risk level is consistent with a systemic pattern, likely reflecting shared collaborative practices or researcher mobility norms at a national level. While multiple affiliations are often a legitimate result of partnerships, the medium-risk level shared across the country suggests a context where it is important to remain vigilant. For the university, this means ensuring that these affiliations genuinely represent substantive collaboration and are not used as a strategic tool to inflate institutional credit or engage in “affiliation shopping.”
Macquarie University's Z-score for this indicator is 0.126, a moderate deviation from the national average of -0.049 for Australia. This difference suggests the institution shows a greater sensitivity to risk factors that can lead to retractions compared to its national peers. Retractions are complex events, and some can result from the honest correction of unintentional errors, signifying responsible supervision. However, a rate significantly higher than the national baseline alerts to a potential vulnerability in the institution's integrity culture. It suggests that quality control mechanisms prior to publication may be facing systemic challenges, indicating possible recurring malpractice or a lack of methodological rigor that requires immediate qualitative verification by management.
Macquarie University's Z-score for this indicator is -0.515, which is below the national average of -0.465 for Australia. This prudent profile demonstrates that the institution manages its citation practices with more rigor than the national standard. A certain level of self-citation is natural, but by maintaining a very low rate, the university effectively avoids the risks of scientific isolation or creating 'echo chambers.' This performance indicates that the institution's academic influence is validated by the broader global community rather than being inflated by internal dynamics, reflecting a healthy integration into external scientific discourse.
Macquarie University's Z-score for this indicator is -0.483, compared to a national average of -0.435 for Australia. This signifies a state of total operational silence, with an absence of risk signals that is even more pronounced than the already secure national environment. This exceptional performance points to a robust due diligence process in selecting dissemination channels. By systematically avoiding media that do not meet international ethical or quality standards, the institution proactively mitigates severe reputational risks and ensures its resources are not wasted on 'predatory' or low-quality publishing practices.
Macquarie University's Z-score for this indicator is 0.067, which is in line with the national average of 0.036 for Australia. This similarity suggests the institution's practices are part of a systemic pattern reflecting national collaborative norms. In certain 'Big Science' disciplines, extensive author lists are legitimate and necessary. However, the shared medium-risk level indicates a national context where it is crucial to distinguish between necessary massive collaboration and potential author list inflation. This signal encourages the university to ensure its authorship practices maintain individual accountability and transparency, preventing the dilution of credit through 'honorary' or political attributions.
Macquarie University's Z-score for this indicator is 0.391, a value indicating significantly higher exposure to this risk compared to the Australian average of 0.084. This wide positive gap—where global impact is high but the impact of research led by the institution itself is comparatively low—signals a potential sustainability risk. It suggests that a significant portion of the university's scientific prestige may be dependent and exogenous, rather than structural. This finding invites critical reflection on whether the institution's excellence metrics result from its own internal capacity or from strategic positioning in collaborations where it does not exercise primary intellectual leadership.
Macquarie University's Z-score for this indicator is 0.031, a figure substantially lower than the national average of 0.345 for Australia. This demonstrates a differentiated management approach, where the university successfully moderates a risk that appears more common across the country. While high productivity can reflect leadership, extreme publication volumes can challenge the limits of meaningful intellectual contribution. The university's low score indicates a healthy balance between quantity and quality, effectively mitigating risks such as coercive authorship or the assignment of authorship without real participation, thereby prioritizing the integrity of the scientific record over pure metrics.
Macquarie University's Z-score for this indicator is -0.268, performing even better than the low national average of -0.225 for Australia. This result represents total operational silence, with a complete absence of risk signals. By avoiding dependence on in-house journals, the institution eliminates potential conflicts of interest where it would act as both judge and party. This practice demonstrates a strong commitment to independent external peer review and global visibility, ensuring its scientific production undergoes standard competitive validation and is not channeled through internal 'fast tracks' that could lead to academic endogamy.
Macquarie University's Z-score for this indicator is -0.438, which, while low, represents a slight divergence from the very low-risk national profile of -0.536 for Australia. This indicates the presence of minor risk signals for redundant publication that are not apparent in the rest of the country. This pattern warrants monitoring, as massive bibliographic overlap between publications can be an early indicator of data fragmentation or 'salami slicing'—the practice of dividing a single study into minimal units to artificially inflate productivity. Continued attention is advised to ensure this practice does not grow, as it can distort scientific evidence and overburden the peer review system.