Tokyo University of Agriculture and Technology

Region/Country

Asiatic Region
Japan
Universities and research institutions

Overall

-0.387

Integrity Risk

very low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
0.177 -0.119
Retracted Output
-0.512 -0.208
Institutional Self-Citation
0.812 0.208
Discontinued Journals Output
-0.287 -0.328
Hyperauthored Output
-0.660 0.881
Leadership Impact Gap
-0.547 0.809
Hyperprolific Authors
-1.339 0.288
Institutional Journal Output
-0.268 -0.139
Redundant Output
-0.259 0.778
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Tokyo University of Agriculture and Technology demonstrates a robust scientific integrity profile, reflected in an overall risk score of -0.387. The institution exhibits exceptional strengths in maintaining very low rates of hyperprolific authorship, retracted output, and publication in its own journals, showcasing a culture that prioritizes quality and external validation. Furthermore, the university displays significant resilience by effectively mitigating national risk trends related to hyper-authorship, redundant publications, and impact dependency. Areas requiring strategic attention are the Rate of Multiple Affiliations and the Rate of Institutional Self-Citation, where the institution shows a higher exposure than the national average. These findings are contextualized by the university's strong academic standing, with SCImago Institutions Rankings data placing it among Japan's elite in key areas such as Veterinary (Top 5), Engineering (Top 25), and Computer Science (Top 35). While the institution's overall commitment to integrity strongly supports its mission of fostering "Sustainability of a Beautiful Earth," the moderate risks identified could be perceived as insular practices, potentially conflicting with the mission's emphasis on a "university-wide perspective" and global competence. It is recommended that the university leverage its solid integrity framework to refine policies regarding affiliation and citation practices, ensuring all research activities fully align with its ambitious vision of responsible and impactful science.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

The institution presents a Z-score of 0.177, which contrasts with the national average of -0.119. This moderate deviation indicates that the university shows a greater sensitivity to risk factors in this area than its national peers. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, the university's higher rate warrants a closer review. It is crucial to ensure that this trend reflects genuine, substantive collaborations that enrich the research environment, rather than strategic attempts to inflate institutional credit or "affiliation shopping," which could dilute the university's distinct academic identity.

Rate of Retracted Output

With a Z-score of -0.512, the institution demonstrates an exceptionally low rate of retracted publications, performing even better than the already low-risk national average of -0.208. This result signifies a low-profile consistency, where the absence of risk signals aligns with and surpasses the national standard. Such a strong performance suggests that the university's quality control and supervision mechanisms prior to publication are not only effective but exemplary. This commitment to methodological rigor is a cornerstone of a healthy integrity culture and reinforces the reliability of the institution's scientific contributions.

Rate of Institutional Self-Citation

The university's Z-score for this indicator is 0.812, notably higher than the national average of 0.208. Although this risk is present systemically across the country, the institution shows a particularly high exposure, suggesting it is more prone to this behavior than its environment. A certain level of self-citation is natural, reflecting deep expertise in specific research lines. However, this disproportionately high rate signals a potential for scientific isolation or 'echo chambers' where work is validated internally without sufficient external scrutiny. This dynamic risks creating an endogamous impact that may not be reflective of the institution's true influence within the global scientific community.

Rate of Output in Discontinued Journals

The institution's Z-score of -0.287 is closely aligned with the national average of -0.328, indicating a level of risk that is statistically normal for its context. This alignment suggests that the university's researchers exercise a degree of due diligence in selecting dissemination channels that is consistent with national practices. The low risk level implies that the institution is largely successful in avoiding predatory or low-quality publications, thereby protecting its reputational standing and ensuring research is channeled through credible and enduring venues.

Rate of Hyper-Authored Output

With a Z-score of -0.660, the institution shows a low rate of hyper-authored publications, a figure that stands in positive contrast to the moderate-risk national average of 0.881. This demonstrates strong institutional resilience, as internal control mechanisms appear to successfully mitigate a risk that is more prevalent systemically. By maintaining this low rate, the university effectively distinguishes between necessary massive collaboration and practices like 'honorary' authorship, thereby promoting greater individual accountability and transparency in its research outputs.

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

The institution records a Z-score of -0.547, indicating a very healthy and sustainable impact profile, especially when compared to the national average of 0.809. This score reflects significant institutional resilience, suggesting that the university's scientific prestige is not dependent on external partners but is driven by its own structural capacity. Unlike the national trend, where impact is often reliant on collaborations led by others, this result indicates that the university exercises strong intellectual leadership in its research, a key marker of genuine and sustainable academic excellence.

Rate of Hyperprolific Authors

The institution's Z-score in this category is -1.339, an exceptionally low value that signals a clear preventive isolation from the moderate-risk dynamics observed at the national level (Z-score of 0.288). This result indicates that the university does not replicate the risk patterns seen in its environment. By effectively curbing extreme individual publication volumes, the institution fosters a culture that prioritizes meaningful intellectual contribution over sheer quantity, thereby avoiding the potential for imbalances between quality and quantity and mitigating risks such as coercive authorship or the assignment of credit without real participation.

Rate of Output in Institutional Journals

With a Z-score of -0.268, the institution shows a near-total absence of risk signals, performing even more rigorously than the very low-risk national average of -0.139. This state of total operational silence underscores an exemplary commitment to external validation. By avoiding dependence on in-house journals, the university effectively eliminates potential conflicts of interest and the risk of academic endogamy. This practice ensures its scientific production consistently undergoes independent external peer review, maximizing its global visibility and credibility.

Rate of Redundant Output

The institution's Z-score of -0.259 signifies a low risk of redundant output, a result that showcases its institutional resilience against the moderate-risk trend observed nationally (Z-score of 0.778). This indicates that the university's control mechanisms effectively discourage the practice of dividing a coherent study into minimal publishable units to artificially inflate productivity. By promoting the publication of complete and significant new knowledge, the institution upholds the integrity of the scientific record and avoids overburdening the peer-review system with fragmented data.

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