| Indicator | University Z-score | Average country Z-score |
|---|---|---|
|
Multi-affiliation
|
-0.964 | -0.615 |
|
Retracted Output
|
-0.738 | 0.777 |
|
Institutional Self-Citation
|
0.111 | -0.262 |
|
Discontinued Journals Output
|
-0.267 | 0.094 |
|
Hyperauthored Output
|
-1.401 | -0.952 |
|
Leadership Impact Gap
|
-0.970 | 0.445 |
|
Hyperprolific Authors
|
1.057 | -0.247 |
|
Institutional Journal Output
|
-0.268 | 1.432 |
|
Redundant Output
|
0.414 | -0.390 |
Kermanshah University of Technology demonstrates a robust scientific integrity profile with an overall risk score of -0.385, indicating performance superior to the global average. The institution exhibits exceptional strengths in areas with very low risk signals, such as the Rate of Retracted Output, Rate of Output in Institutional Journals, and the Gap in impact between led and total output, where it effectively insulates itself from less favorable national trends. These strengths suggest strong internal governance and a commitment to quality. However, areas requiring strategic attention have been identified, with medium-risk signals in the Rate of Institutional Self-Citation, Rate of Hyperprolific Authors, and Rate of Redundant Output. These indicators point to a potential emphasis on publication volume that could benefit from policy reinforcement. This solid integrity framework underpins the university's impressive academic standing, evidenced by its high national rankings in Mathematics (4th), Physics and Astronomy (15th), and Engineering (31st) from SCImago Institutions Rankings data. While a specific institutional mission was not available for this analysis, the identified risks could challenge the universal academic values of excellence and social responsibility by creating a perception that internal validation or quantitative metrics are prioritized over externally validated, impactful contributions. It is recommended that the university proactively reviews its authorship and citation policies to ensure its commendable research output continues to align with the highest standards of international scientific integrity, thereby securing its academic leadership and reputation.
The institution's Z-score of -0.964 for multiple affiliations indicates a very low-risk profile, which is consistent with and even more rigorous than the low-risk national standard in Iran (Z-score: -0.615). This result suggests a healthy and transparent approach to collaborative work. 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 data shows no such signals, indicating that its collaborative practices are well-managed and do not present signs of "affiliation shopping," thereby reinforcing the integrity of its institutional credit.
With an exceptionally low Z-score of -0.738, the university stands in stark contrast to the medium-risk signals for retracted publications observed nationally (Z-score: 0.777). This performance suggests that the institution has effectively isolated itself from broader environmental risks through robust internal quality controls. Retractions can be complex, but a rate significantly higher than average often alerts to a vulnerability in an institution's integrity culture. Kermanshah University of Technology's excellent result indicates that its quality control mechanisms prior to publication are functioning effectively, preventing the kind of recurring malpractice or lack of methodological rigor that may be more prevalent elsewhere in the national system.
The institution's rate of self-citation presents a medium-risk signal (Z-score: 0.111), which deviates from the low-risk national average (Z-score: -0.262). This suggests the university shows a greater sensitivity to this risk factor than its national peers. A certain level of self-citation is natural and reflects the continuity of research lines; however, disproportionately high rates can signal concerning scientific isolation or 'echo chambers.' This value serves as a warning of the potential for endogamous impact inflation and warrants a review to ensure that the institution's academic influence is being sufficiently validated by the global community rather than being oversized by internal dynamics.
With a low-risk Z-score of -0.267 for publications in discontinued journals, the university demonstrates notable resilience against a risk that is more pronounced at the national level (Z-score: 0.094). This suggests that the institution's control mechanisms are successfully mitigating a systemic vulnerability present in its environment. A high proportion of output in such journals constitutes a critical alert regarding due diligence in selecting dissemination channels. The university's strong performance indicates its researchers are well-guided in choosing reputable publication venues, effectively avoiding the severe reputational risks and wasted resources associated with 'predatory' or low-quality practices.
The university exhibits a very low rate of hyper-authored publications (Z-score: -1.401), a profile that is even stronger than the already low-risk national standard (Z-score: -0.952). This alignment points to a commendable culture of accountability in authorship. Outside of 'Big Science' contexts where extensive author lists are legitimate, a high Z-score can indicate author list inflation, which dilutes individual accountability. The institution's data shows no such signals, reflecting a transparent and appropriate approach to assigning authorship credit that distinguishes between necessary collaboration and questionable authorship practices.
The institution shows a very low-risk profile in the gap between its overall impact and the impact of research where it holds a leadership role (Z-score: -0.970). This is a significant achievement, as it indicates the university is not replicating the dependency dynamics observed at the national level, where a medium-risk gap exists (Z-score: 0.445). A very wide positive gap can signal that scientific prestige is dependent and exogenous, not structural. This result, however, suggests that the university's scientific prestige is built on real internal capacity and that it exercises intellectual leadership within its collaborations.
A medium-risk signal is detected for the rate of hyperprolific authors (Z-score: 1.057), indicating a moderate deviation from the low-risk national benchmark (Z-score: -0.247). This suggests a greater sensitivity within the institution to practices that prioritize publication volume. While high productivity can be legitimate, extreme individual publication volumes often challenge the limits of human capacity for meaningful intellectual contribution. This indicator alerts to potential imbalances between quantity and quality, pointing to risks such as coercive authorship or the assignment of authorship without real participation—dynamics that prioritize metrics over scientific record integrity.
The university maintains a very low rate of publication in its own institutional journals (Z-score: -0.268), effectively insulating itself from a medium-risk practice that is more common nationally (Z-score: 1.432). This demonstrates a strong commitment to external validation and global visibility. Excessive dependence on in-house journals raises conflicts of interest and warns of the risk of academic endogamy, where production might bypass independent external peer review. The university's approach avoids these risks, ensuring its research competes on the global stage and is not channeled through internal 'fast tracks' to inflate CVs.
The institution's rate of redundant output registers as a medium-risk signal (Z-score: 0.414), showing a greater tendency toward this practice compared to the low-risk national average (Z-score: -0.390). This finding suggests a potential vulnerability in publication strategy. Massive and recurring bibliographic overlap between simultaneous publications usually indicates data fragmentation or 'salami slicing.' This alert warns of the practice of dividing a coherent study into minimal publishable units to artificially inflate productivity, which distorts scientific evidence and prioritizes volume over significant new knowledge.
