Shiraz University of Technology

Region/Country

Middle East
Iran
Universities and research institutions

Overall

0.118

Integrity Risk

medium

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
-0.628 -0.615
Retracted Output
0.361 0.777
Institutional Self-Citation
0.301 -0.262
Discontinued Journals Output
0.263 0.094
Hyperauthored Output
-1.333 -0.952
Leadership Impact Gap
0.231 0.445
Hyperprolific Authors
0.168 -0.247
Institutional Journal Output
-0.268 1.432
Redundant Output
1.402 -0.390
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Shiraz University of Technology demonstrates a scientific profile with a low overall risk score (0.118), indicating a solid foundation of integrity complemented by specific, identifiable areas for strategic improvement. The institution's primary strengths lie in its exceptionally low rates of hyper-authored output and publication in institutional journals, suggesting robust practices in authorship accountability and a commitment to external validation that sets it apart from national trends. However, this positive profile is contrasted by medium-risk signals in institutional self-citation, hyperprolific authorship, and redundant output, where the university's performance deviates from the lower-risk national standard. These vulnerabilities point to potential internal pressures that prioritize publication volume and internal validation over external impact and methodological coherence. According to SCImago Institutions Rankings data, the university's strongest thematic areas are concentrated in Computer Science, Engineering, Mathematics, and Energy. The identified risks, particularly those related to self-citation and redundant publication, could undermine the perceived excellence and social responsibility inherent in a leading technological institution by creating an impression of inflated impact and fragmented knowledge contribution. To safeguard its reputation and align its practices with its clear thematic strengths, it is recommended that the university leverage its strong governance in authorship to develop targeted policies that address publication strategies and citation behaviors, ensuring that its quantitative output is matched by qualitative leadership and global scientific relevance.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

The institution's Z-score of -0.628 is statistically aligned with the national average of -0.615, reflecting a risk level that is normal and expected for its context. This synchrony indicates that the university's policies and researcher behaviors regarding affiliations are consistent with national standards. While multiple affiliations can sometimes be used to inflate institutional credit, the current low and stable rate suggests that collaborative practices at the institution are legitimate and do not present a signal of "affiliation shopping" or other strategic misuse.

Rate of Retracted Output

With a Z-score of 0.361, the institution presents a medium risk for retracted publications, yet this is managed more effectively than the national average, which stands at a higher 0.777. This suggests that while the university is not immune to the factors leading to retractions, its internal quality control and supervision mechanisms appear to moderate a risk that is more pronounced across the country. Retractions can signify responsible error correction, but a persistent medium-level signal warrants a review to ensure that pre-publication validation processes are sufficiently robust to prevent systemic failures in methodological rigor or research integrity.

Rate of Institutional Self-Citation

The institution exhibits a moderate deviation from the national norm with a Z-score of 0.301, placing it at a medium risk level, while the country average (-0.262) indicates low risk. This divergence suggests the university is more sensitive to practices of internal citation than its national peers. A certain level of self-citation is natural, reflecting ongoing research lines. However, this elevated rate could signal the formation of scientific 'echo chambers,' where work is validated internally without sufficient external scrutiny. This poses a risk of endogamous impact inflation, where academic influence may be oversized by internal dynamics rather than recognition from the global community.

Rate of Output in Discontinued Journals

The university's Z-score of 0.263 places it in the medium-risk category, showing a higher exposure to this issue compared to the national average of 0.094. This indicates that the institution is more prone than its peers to publishing in journals that fail to meet international quality or ethical standards. Such a pattern constitutes a critical alert regarding due diligence in selecting dissemination channels. It suggests a significant portion of its scientific output is channeled through questionable media, exposing the institution to severe reputational risks and highlighting an urgent need for enhanced information literacy among researchers to avoid predatory practices.

Rate of Hyper-Authored Output

The institution demonstrates a clear strength in this area, with a Z-score of -1.333 indicating a very low risk, which is even more favorable than the low-risk national average of -0.952. This absence of risk signals aligns with a national context that already shows control. It suggests that the university's research culture successfully promotes transparency and accountability in authorship, effectively distinguishing between necessary large-scale collaboration and the dilutive effects of honorary or inflated author lists, thereby reinforcing individual responsibility.

Gap between Impact of total output and the impact of output with leadership

With a Z-score of 0.231, the institution shows a medium-risk gap, but it manages this dependency risk more effectively than the national average (0.445). This indicates that while there is some reliance on external partners for high-impact publications, the university demonstrates a comparatively stronger internal capacity for intellectual leadership. This differentiated management helps mitigate the risk of its scientific prestige being perceived as purely exogenous. The data invites a strategic reflection on how to further strengthen internal research capabilities to ensure that its reputation for excellence is structural and sustainable, rather than dependent on collaborative positioning.

Rate of Hyperprolific Authors

A moderate deviation from the national standard is observed, with the institution's Z-score at 0.168 (medium risk) compared to the country's low-risk score of -0.247. This suggests the university is more sensitive to the presence of authors with extreme publication volumes. While high productivity can reflect leadership, this indicator alerts to potential imbalances between quantity and quality. It points to risks such as coercive authorship or the assignment of credit without meaningful contribution—dynamics that prioritize metric inflation over the integrity of the scientific record and appear more pronounced at the institution than nationally.

Rate of Output in Institutional Journals

The institution shows exceptional performance in this area, with a Z-score of -0.268 (very low risk) in stark contrast to the national average of 1.432 (medium risk). This demonstrates a form of preventive isolation, where the university does not replicate the risk dynamics observed in its environment. By avoiding excessive dependence on its own journals, the institution effectively sidesteps conflicts of interest and the risk of academic endogamy. This commitment to independent, external peer review enhances the global visibility and credibility of its research, setting a high standard for integrity within the national system.

Rate of Redundant Output

The institution shows a significant moderate deviation from the national trend, with a Z-score of 1.402 (medium risk) compared to the country's low-risk average of -0.390. This high value indicates a greater sensitivity to practices of data fragmentation, or 'salami slicing,' than its peers. This practice, where a single study is divided into minimal publishable units to artificially inflate productivity, distorts the scientific evidence base and overburdens the review system. The score suggests an urgent need to review publication incentives to ensure they prioritize significant new knowledge over sheer volume.

This report was automatically generated using Google Gemini to provide a brief analysis of the university scores.
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