K.N.Toosi University of Technology

Region/Country

Middle East
Iran
Universities and research institutions

Overall

-0.330

Integrity Risk

very low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
-0.415 -0.615
Retracted Output
-0.061 0.777
Institutional Self-Citation
0.173 -0.262
Discontinued Journals Output
-0.181 0.094
Hyperauthored Output
-1.269 -0.952
Leadership Impact Gap
-0.665 0.445
Hyperprolific Authors
-1.061 -0.247
Institutional Journal Output
-0.268 1.432
Redundant Output
-0.252 -0.390
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

K.N. Toosi University of Technology demonstrates a robust scientific integrity profile, reflected in an overall risk score of -0.330, which indicates a performance superior to the global average. The institution's primary strengths lie in its exceptional control over authorship practices (Hyper-Authored Output and Hyperprolific Authors) and its commitment to external validation, showing a very low rate of publication in its own institutional journals. This operational discipline allows the university to effectively mitigate several systemic risks prevalent at the national level, particularly concerning retracted publications and output in discontinued journals. The main area requiring strategic attention is a medium-risk level in Institutional Self-Citation, which deviates from the national trend and suggests a potential for scientific isolation. According to SCImago Institutions Rankings data, the university's strongest thematic areas include Earth and Planetary Sciences and Pharmacology, Toxicology and Pharmaceutics, where it ranks 9th nationally, followed by strong positions in Business, Management and Accounting (14th) and Computer Science (17th). As the institution's specific mission statement was not available for this analysis, a direct alignment assessment is not possible. However, the observed tendency towards self-citation could challenge common institutional values of global excellence and external impact. To consolidate its strong position, it is recommended that the university investigates the drivers of its self-citation patterns while continuing to leverage its effective governance in other areas to foster a culture of transparent and globally integrated research.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

The institution presents a Z-score of -0.415, a low-risk value that is nonetheless slightly higher than the national average of -0.615. This subtle difference suggests an incipient vulnerability, indicating that while the overall rate is within acceptable limits, the university shows signals that warrant review before they escalate. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, this slight elevation compared to the national baseline merits a closer look to ensure all affiliations are strategically sound and not indicative of early-stage “affiliation shopping” aimed at inflating institutional credit.

Rate of Retracted Output

With a Z-score of -0.061, the institution maintains a low-risk profile in an area where the country shows a medium-risk trend (Z-score: 0.777). This demonstrates significant institutional resilience, as internal control mechanisms appear to successfully mitigate the systemic risks observed nationally. A low retraction rate suggests that the university's quality control and supervision mechanisms prior to publication are robust and effective. This performance is a positive sign of a healthy integrity culture, effectively preventing the kind of recurring malpractice or lack of methodological rigor that can lead to higher retraction rates elsewhere in the system.

Rate of Institutional Self-Citation

The institution's Z-score of 0.173 places it in the medium-risk category, a notable deviation from the low-risk national average of -0.262. This indicates that the university shows a greater sensitivity to this risk factor than its national peers. A certain level of self-citation is natural, but this disproportionately high rate signals a potential for concerning scientific isolation or an 'echo chamber' where work is validated internally without sufficient external scrutiny. This value warns of the risk of endogamous impact inflation, suggesting that the institution's academic influence may be oversized by internal dynamics rather than by recognition from the global scientific community.

Rate of Output in Discontinued Journals

The institution exhibits a low-risk Z-score of -0.181, contrasting sharply with the medium-risk national average of 0.094. This gap highlights the university's institutional resilience and effective filtering of low-quality publication venues. While the national context shows a vulnerability to publishing in journals that do not meet international standards, the university's performance indicates strong due diligence in selecting dissemination channels. This proactive approach protects the institution from severe reputational risks and demonstrates a commitment to information literacy, avoiding the waste of resources on 'predatory' or substandard practices.

Rate of Hyper-Authored Output

With a Z-score of -1.269, the institution is in the very low-risk category, a finding consistent with the low-risk national context (Z-score: -0.952). This low-profile consistency demonstrates that the university's authorship practices are well-aligned with national standards and do not present integrity risks. The absence of signals in this area suggests that author lists are managed with transparency and accountability, appropriately reflecting the collaborative norms of its disciplines and avoiding practices like author list inflation or 'honorary' authorships.

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

The institution's Z-score of -0.665 signifies a low risk, standing in positive contrast to the medium-risk national average of 0.445. This result points to strong institutional resilience, suggesting that the university is building sustainable, endogenous research capacity. Unlike the national trend, where scientific prestige may be more dependent on external partners, this low gap indicates that the institution's excellence metrics are the result of real internal capacity and intellectual leadership. This is a key indicator of long-term scientific autonomy and sustainability.

Rate of Hyperprolific Authors

The institution records a Z-score of -1.061, placing it in the very low-risk category, which is even more conservative than the low-risk national average of -0.247. This low-profile consistency indicates an absence of risk signals related to extreme individual productivity. The university's environment appears to foster a healthy balance between quantity and quality, successfully avoiding the dynamics of hyperprolificacy that can point to coercive authorship, data fragmentation, or other practices that prioritize metrics over the integrity of the scientific record.

Rate of Output in Institutional Journals

With a Z-score of -0.268, the institution has a very low-risk profile, demonstrating a clear preventive isolation from the medium-risk trend observed at the national level (Z-score: 1.432). This result is a significant strength, showing that the university does not replicate the risk dynamics of academic endogamy seen in its environment. By avoiding dependence on its own journals, the institution ensures its scientific production undergoes independent external peer review, thereby mitigating conflicts of interest, enhancing global visibility, and steering clear of using internal channels as 'fast tracks' for publication without standard competitive validation.

Rate of Redundant Output

The institution's Z-score of -0.252 is in the low-risk range but is slightly higher than the national average of -0.390. This profile suggests an incipient vulnerability, where the university shows minor signals that warrant review before escalating. While the overall risk is low, this slight elevation relative to the national context could indicate early signs of data fragmentation or 'salami slicing,' where studies are divided into minimal publishable units to inflate productivity. Monitoring this indicator is advisable to ensure that research contributions remain significant and do not overburden the review system with artificially fragmented outputs.

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