| Indicator | University Z-score | Average country Z-score |
|---|---|---|
|
Multi-affiliation
|
0.431 | 0.802 |
|
Retracted Output
|
-0.362 | -0.255 |
|
Institutional Self-Citation
|
-0.225 | -0.192 |
|
Discontinued Journals Output
|
-0.469 | -0.435 |
|
Hyperauthored Output
|
1.446 | 0.220 |
|
Leadership Impact Gap
|
0.980 | -0.073 |
|
Hyperprolific Authors
|
-0.472 | -0.521 |
|
Institutional Journal Output
|
-0.268 | -0.242 |
|
Redundant Output
|
0.664 | 0.052 |
The University of Bergen demonstrates a robust scientific integrity profile, with an overall risk score of -0.090 that indicates strong alignment with expected international standards. The institution's primary strengths lie in its rigorous selection of publication venues and its commitment to external validation, reflected in very low-risk scores for output in discontinued and institutional journals. However, this solid foundation is contrasted by significant concerns regarding authorship practices, particularly a high rate of hyper-authored output, and medium-risk signals in research dependency and redundant publications. According to SCImago Institutions Rankings data, the university excels in several key areas, holding top-tier national positions in disciplines such as Dentistry (2nd), Veterinary (2nd), Arts and Humanities (3rd), and Medicine (3rd). While the institution's formal mission was not provided for this analysis, the identified risks—especially those that dilute author accountability and suggest an over-reliance on external leadership for impact—could challenge any mission centered on achieving genuine academic excellence and sustainable social contribution. To fully leverage its thematic strengths, it is recommended that the University of Bergen initiates a strategic review of its authorship and collaboration policies to ensure its impressive research capacity translates into enduring intellectual leadership.
The University of Bergen presents a Z-score of 0.431, which, while indicating a medium risk level, is notably lower than the national average of 0.802. This suggests a pattern of differentiated management where the institution demonstrates more effective control over a risk that is common within the Norwegian research ecosystem. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, disproportionately high rates can signal strategic attempts to inflate institutional credit. The university’s more moderate score indicates that its policies or academic culture are better at mitigating the potential for "affiliation shopping," thereby maintaining a clearer and more transparent representation of its collaborative contributions compared to its national peers.
With a Z-score of -0.362, the institution displays a prudent profile, showing a lower incidence of retracted publications than the national average of -0.255. This low-risk signal is a positive indicator of the health of its research processes. Retractions are complex events, but a rate significantly below the norm suggests that the university's quality control mechanisms prior to publication are functioning effectively. This performance points to a strong integrity culture and robust methodological supervision, successfully preventing the types of systemic errors or malpractice that often lead to post-publication corrections and safeguarding the institution's scientific reputation.
The university's Z-score for institutional self-citation is -0.225, a low-risk value that is statistically aligned with the national average of -0.192. This indicates a state of normality, where the institution's citation patterns are consistent with the expected behavior for its context. A certain level of self-citation is natural and reflects the continuity of established research lines. The observed score confirms that the University of Bergen maintains a healthy balance, building upon its own work without falling into scientific isolation or creating 'echo chambers' that could artificially inflate its impact through endogamous validation rather than recognition from the global community.
The institution exhibits a Z-score of -0.469, signaling a complete operational silence in this risk area and performing even better than the already secure national average of -0.435. This exceptional result demonstrates an outstanding level of due diligence in the selection of publication channels. A high proportion of output in such journals would constitute a critical alert, but this very low score confirms that the university's researchers are effectively avoiding media that fail to meet international ethical or quality standards. This protects the institution from severe reputational risks and ensures that research efforts and resources are not wasted on 'predatory' or low-integrity practices.
A significant red flag appears in this indicator, where the University of Bergen's Z-score of 1.446 marks a significant risk level, starkly accentuating the more moderate national trend (0.220). This score suggests the institution is amplifying a vulnerability present in the national system. While extensive author lists are legitimate in 'Big Science' fields, such a high value outside those contexts points to a systemic issue of author list inflation, a practice that dilutes individual accountability and transparency. This critical signal warrants an urgent internal audit to distinguish between necessary massive collaboration and the potential prevalence of 'honorary' or political authorship practices that compromise research integrity.
The university shows a Z-score of 0.980, a medium-risk value that represents a moderate deviation from the low-risk national benchmark of -0.073. This indicates that the institution is more sensitive than its peers to risks associated with research dependency. A wide positive gap, as seen here, suggests that the institution's overall scientific prestige is heavily reliant on collaborations where it does not exercise primary intellectual leadership. This signals a potential sustainability risk, inviting reflection on whether its high-impact metrics are derived from genuine internal capacity or from strategic positioning in partnerships where its role is supportive rather than directive.
With a Z-score of -0.472, the institution's risk in this area is low and broadly aligns with the national context (-0.521). However, its score is slightly higher than the country average, pointing to an incipient vulnerability that warrants monitoring. While high productivity can be legitimate, extreme individual publication volumes can challenge the limits of meaningful intellectual contribution. This minor elevation serves as a preemptive signal to ensure a healthy balance between quantity and quality is maintained, and to guard against potential risks such as coercive authorship or the assignment of credit without real participation—dynamics that prioritize metrics over the integrity of the scientific record.
The university's Z-score of -0.268 is in a very low-risk band, demonstrating integrity synchrony with the national environment (-0.242). This alignment reflects a shared commitment to external, independent validation of research. By avoiding excessive dependence on in-house journals, the institution successfully sidesteps potential conflicts of interest where it would act as both judge and party. This score confirms that the university's scientific production is not at risk of academic endogamy and overwhelmingly passes through standard competitive peer review, ensuring its global visibility and credibility.
The institution's Z-score of 0.664 places it at a medium risk level, but its value is substantially higher than the national average of 0.052, indicating high exposure to this practice. Although the risk category is shared with the national system, the university is more prone to showing these alert signals. This high value, indicating significant bibliographic overlap between publications, warns of a potential tendency to engage in data fragmentation or 'salami slicing.' This practice of dividing a coherent study into minimal publishable units to artificially inflate productivity metrics should be addressed, as it can distort the available scientific evidence and prioritizes publication volume over the generation of significant new knowledge.
