| Indicator | University Z-score | Average country Z-score |
|---|---|---|
|
Multi-affiliation
|
1.254 | -0.497 |
|
Retracted Output
|
-0.409 | -0.244 |
|
Institutional Self-Citation
|
1.616 | 0.340 |
|
Discontinued Journals Output
|
-0.443 | -0.290 |
|
Hyperauthored Output
|
3.037 | 1.457 |
|
Leadership Impact Gap
|
-0.905 | 0.283 |
|
Hyperprolific Authors
|
0.594 | 0.625 |
|
Institutional Journal Output
|
-0.268 | -0.177 |
|
Redundant Output
|
2.053 | 0.224 |
Politecnico di Bari presents a robust and generally positive scientific integrity profile, reflected in an overall risk score of 0.237. The institution demonstrates exceptional strengths in critical areas of research governance, including a near-zero rate of retractions, minimal use of discontinued or institutional journals, and a remarkable capacity for intellectual leadership where its own-led research surpasses the impact of its collaborative output. These strengths align with the core tenets of academic excellence and responsible research. However, this solid foundation is contrasted by significant challenges in authorship practices, particularly a critical rate of hyper-authored publications, and medium-risk signals in institutional self-citation and redundant output. According to SCImago Institutions Rankings data, the university's strongest thematic areas nationally are Engineering (ranked 24th in Italy), Mathematics (30th), Earth and Planetary Sciences (31st), and Energy (32nd). While the institution's specific mission was not available for this analysis, these identified risks, especially concerning authorship and publication strategies, could undermine the principles of transparency and meritocracy inherent in the mission of a leading polytechnic university. Addressing these vulnerabilities is crucial to ensure that its operational practices fully reflect its strong research performance and its commitment to generating knowledge with integrity.
The institution's Z-score of 1.254 indicates a moderate deviation from the national standard, which sits at a low-risk Z-score of -0.497. This suggests that Politecnico di Bari shows a greater sensitivity to risk factors associated with multiple affiliations than its national peers. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, the higher rate at the institution warrants a closer look. It signals a potential vulnerability to practices that could be perceived as strategic attempts to inflate institutional credit or “affiliation shopping,” where affiliations are sought more for institutional gain than for genuine scientific collaboration. A review of affiliation policies could help ensure that all declared institutional links reflect substantive and transparent research engagement.
With a Z-score of -0.409, the institution demonstrates an exemplary record in publication reliability, performing even better than the low-risk national average of -0.244. This low-profile consistency, where the absence of risk signals aligns with a secure national environment, points to highly effective quality control mechanisms. Retractions can be complex, but such a low rate strongly suggests that research is conducted with methodological rigor and that pre-publication supervision is robust. This performance is a clear indicator of a healthy integrity culture, where the focus is on producing sound and verifiable scientific work from the outset, thereby safeguarding the institution's reputation.
The institution exhibits a Z-score of 1.616 in institutional self-citation, a figure significantly higher than the national average of 0.340, even though both fall within a medium-risk context. This indicates that the institution is more exposed to this particular risk than its peers across the country. A certain level of self-citation is natural, reflecting the continuity of research lines. However, this disproportionately high rate signals a potential for scientific isolation or the formation of 'echo chambers' where work is validated internally without sufficient external scrutiny. This dynamic warns of a risk of endogamous impact inflation, suggesting that the institution's academic influence may be oversized by internal citation patterns rather than broader recognition from the global scientific community.
The institution's Z-score of -0.443 is a clear sign of excellence, positioning it favorably against the already low national average of -0.290. This result demonstrates a consistent and effective policy regarding the selection of publication venues. A near-total absence of publications in journals that have been discontinued due to quality or ethical concerns indicates that the institution's researchers exercise strong due diligence. This protects the university from severe reputational risks and ensures that research funds and efforts are channeled toward credible outlets that meet international standards, preventing any waste on 'predatory' or low-quality practices.
With a Z-score of 3.037, the institution's rate of hyper-authored output is a global red flag, drastically exceeding the already significant national average of 1.457. This finding indicates that the institution is a leader in risk metrics within a country already highly compromised in this area. While extensive author lists are legitimate in 'Big Science' fields, such a high value across the institution points to a systemic issue of author list inflation that dilutes individual accountability and transparency. This critical alert makes it urgent to investigate whether this pattern stems from necessary massive collaboration or from widespread 'honorary' or political authorship practices that undermine the integrity of the scientific record.
The institution shows a Z-score of -0.905, a result that signifies exceptional scientific autonomy and contrasts sharply with the national average of 0.283. This demonstrates a case of preventive isolation, where the institution avoids the risk dynamics of dependency observed elsewhere in the country. A negative score indicates that the research led directly by the institution's authors has a higher normalized impact than its overall output, much of which involves collaboration. This is a powerful indicator of structural prestige and strong internal capacity, proving that the institution's scientific excellence is homegrown and sustainable, rather than being dependent on the leadership of external partners.
The institution's Z-score of 0.594 is nearly identical to the national average of 0.625, pointing to a systemic pattern in research productivity. This alignment suggests that the risk level reflects shared practices or evaluation pressures at a national level rather than an issue unique to the institution. Extreme individual publication volumes, however, challenge the perceived limits of meaningful intellectual contribution. This indicator serves as a warning of potential imbalances between quantity and quality, alerting to risks such as coercive authorship, data fragmentation, or the assignment of authorship without real participation—dynamics that prioritize metric performance over the integrity of the scientific record.
With a Z-score of -0.268, the institution demonstrates total operational silence in this indicator, performing even better than the very low national average of -0.177. This absence of risk signals, even below the national baseline, highlights an outstanding commitment to external and independent peer review. By avoiding reliance on in-house journals, the institution effectively eliminates potential conflicts of interest where it might act as both judge and party. This practice ensures that its scientific production is validated through standard competitive channels, maximizing its global visibility and reinforcing its adherence to international standards of academic rigor.
The institution's Z-score for redundant output is 2.053, a figure that reveals high exposure to this risk and is substantially higher than the national average of 0.224. Although both operate in a medium-risk context, the institution is far more prone to showing these alert signals. Massive bibliographic overlap between publications often indicates data fragmentation or 'salami slicing,' a practice of dividing a single study into minimal publishable units to artificially inflate productivity. This high value serves as a critical alert that this practice may be distorting the available scientific evidence and overburdening the review system, prioritizing publication volume over the generation of significant new knowledge.
