| Indicator | University Z-score | Average country Z-score |
|---|---|---|
|
Multi-affiliation
|
-0.248 | -0.526 |
|
Retracted Output
|
-0.381 | -0.173 |
|
Institutional Self-Citation
|
0.847 | -0.119 |
|
Discontinued Journals Output
|
-0.308 | 0.179 |
|
Hyperauthored Output
|
4.383 | 0.074 |
|
Leadership Impact Gap
|
2.087 | -0.064 |
|
Hyperprolific Authors
|
1.235 | -0.430 |
|
Institutional Journal Output
|
-0.268 | 0.119 |
|
Redundant Output
|
0.361 | -0.245 |
TOBB Economics and Technology University presents a complex integrity profile, with an overall score of 0.280 indicating a foundation of good practices alongside specific, high-priority areas for strategic intervention. The institution demonstrates commendable strengths in its quality control processes, reflected by very low rates of retracted output and publications in its own journals. However, this is contrasted by significant risks related to authorship and impact metrics, including a critical level of hyper-authored output and medium-level alerts for hyperprolific authors, institutional self-citation, redundant output, and a notable gap between its overall impact and the impact of research it leads. According to SCImago Institutions Rankings data, the university excels thematically with top national rankings in key areas such as Computer Science, Engineering, Physics and Astronomy, and Chemistry. While the institution's mission statement was not available for this analysis, its demonstrated research strengths align with the core objectives of a leading university. Nevertheless, the identified risks could challenge the principles of scientific integrity and sustainable excellence. Upholding values of social responsibility requires ensuring that research contributions are transparent, accountable, and structurally sound. The university is well-positioned to leverage its robust control mechanisms to address these vulnerabilities. A proactive strategy focusing on authorship policy clarification, responsible collaboration guidelines, and fostering internal research leadership would consolidate its scientific standing and ensure long-term reputational integrity.
The institution's Z-score of -0.248 is within the low-risk category, yet it is slightly higher than the national average of -0.526, which is also at a low-risk level. This subtle difference suggests an incipient vulnerability, indicating that while the practice is not widespread, the university shows early signals of this activity that warrant observation before they escalate. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, disproportionately high rates can signal strategic attempts to inflate institutional credit or “affiliation shopping.” Monitoring this trend is a prudent step to ensure that all affiliations remain scientifically justified.
With a Z-score of -0.381, the institution operates at a very low-risk level, performing better than the already low-risk national standard (-0.173). This demonstrates a low-profile consistency, where the near-total absence of risk signals aligns with and even exceeds the national benchmark. Retractions can be complex, sometimes resulting from the honest correction of errors. However, a rate significantly below the average, as seen here, is a strong positive indicator of effective pre-publication quality control mechanisms and a robust institutional culture of integrity and methodological rigor.
The university shows a Z-score of 0.847, placing it in the medium-risk category, which represents a moderate deviation from the national context, where the average score is -0.119 (low risk). This indicates that the institution is more sensitive to this risk factor than its national peers. A certain level of self-citation is natural, reflecting the continuity of research lines. However, this elevated rate can signal concerning scientific isolation or 'echo chambers' where work is validated without sufficient external scrutiny. It warns of a potential for endogamous impact inflation, suggesting that the institution's academic influence may be oversized by internal dynamics rather than by broader recognition from the global community.
The institution's Z-score of -0.308 (low risk) contrasts sharply with the country's medium-risk average of 0.179. This demonstrates institutional resilience, as internal control mechanisms appear to successfully mitigate a systemic risk prevalent in the national environment. A high proportion of output in such journals constitutes a critical alert regarding due diligence, but this institution’s low score indicates that its researchers are effectively selecting appropriate dissemination channels. This protects the university from severe reputational risks and shows a strong commitment to avoiding 'predatory' or low-quality practices.
The institution exhibits a Z-score of 4.383, a critical value that places it in the significant-risk category and dramatically amplifies the medium-risk trend observed at the national level (0.074). This pattern suggests the university is not only participating in but also intensifying a national vulnerability related to authorship. In disciplines outside of 'Big Science' contexts like high-energy physics, such extensive author lists can indicate author list inflation, a practice that dilutes individual accountability and transparency. It is therefore urgent for the institution to audit its collaborative frameworks to determine whether these patterns reflect legitimate, large-scale projects or the spread of 'honorary' or political authorship, which compromises the integrity of the scientific record.
With a Z-score of 2.087 (medium risk), the institution displays a moderate deviation from the national standard, which sits at -0.064 (low risk). This indicates a greater sensitivity to this risk factor compared to its peers. A wide positive gap, where global impact is high but the impact of institution-led research is low, signals a sustainability risk. This value suggests that the university's scientific prestige may be dependent and exogenous, not structural. It invites reflection on whether its excellence metrics result from genuine internal capacity or from strategic positioning in collaborations where the institution does not exercise primary intellectual leadership.
The university's Z-score of 1.235 (medium risk) marks a moderate deviation from the national average of -0.430 (low risk), indicating a higher sensitivity to this risk. While high productivity can evidence leadership, 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, 'salami slicing,' or the assignment of authorship without real participation. These dynamics prioritize metrics over the integrity of the scientific record and warrant a review of authorship practices.
The institution's Z-score of -0.268 (very low risk) demonstrates a clear preventive isolation from the medium-risk dynamics observed at the national level (0.119). The university does not replicate the risk patterns of its environment, showing a strong commitment to external validation. While in-house journals can be valuable, excessive dependence on them raises conflicts of interest. This very low score indicates that the institution avoids academic endogamy and ensures its scientific production undergoes independent external peer review, thereby maximizing its potential for global visibility and impact.
With a Z-score of 0.361, the institution is in the medium-risk category, showing a moderate deviation from the national average of -0.245 (low risk). This suggests the university is more prone to this risk factor than its peers. Massive and recurring bibliographic overlap between publications often indicates data fragmentation or 'salami slicing.' This elevated value alerts to the potential practice of dividing a coherent study into minimal publishable units to artificially inflate productivity. This behavior not only distorts the available scientific evidence but also overburdens the peer-review system, prioritizing volume over the generation of significant new knowledge.
