Kagawa University

Region/Country

Asiatic Region
Japan
Universities and research institutions

Overall

-0.055

Integrity Risk

low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
-0.480 -0.119
Retracted Output
-0.512 -0.208
Institutional Self-Citation
0.191 0.208
Discontinued Journals Output
-0.238 -0.328
Hyperauthored Output
0.775 0.881
Leadership Impact Gap
1.101 0.809
Hyperprolific Authors
0.711 0.288
Institutional Journal Output
-0.268 -0.139
Redundant Output
0.930 0.778
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Kagawa University presents a robust and well-balanced scientific integrity profile, with an overall risk score of -0.055 that indicates strong alignment with national and international best practices. The institution demonstrates exceptional strengths in areas of critical reputational importance, particularly its very low rates of retracted output and publication in its own journals, signaling a solid foundation of quality control and a commitment to external validation. However, the analysis also reveals a cluster of medium-risk indicators related to authorship and publication strategy, including redundant output, hyperprolific authors, and a dependency on external leadership for impact. These areas, while not critical, represent a strategic vulnerability. According to SCImago Institutions Rankings data, the university's thematic strengths are concentrated in Environmental Science (ranked 39th in Japan), Computer Science (45th), Engineering (53rd), and Agricultural and Biological Sciences (55th). The identified risks, particularly those suggesting a focus on publication volume over substance, could subtly undermine the university's mission to engage in a "rigorous pursuit of the truth" and foster "creative and compassionate professionals." To fully realize its vision as a "distinctive and competitive" institution, it is recommended that Kagawa University proactively address these medium-risk vulnerabilities, thereby reinforcing its already strong integrity framework and ensuring its research excellence is both genuine and sustainable.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

Kagawa University demonstrates a prudent approach to researcher affiliations, with a Z-score of -0.480, which is significantly lower than the Japanese national average of -0.119. This suggests that the institution's processes are managed with more rigor than the national standard. While multiple affiliations are often a legitimate result of researcher mobility and partnerships, the university's controlled rate indicates a low probability of strategic "affiliation shopping" designed to artificially inflate institutional credit, reflecting a clear and transparent policy regarding collaborative acknowledgments.

Rate of Retracted Output

The institution exhibits an exceptionally low rate of retracted publications, with a Z-score of -0.512, far below the already low national average of -0.208. This near-absence of risk signals is a testament to the university's robust quality control mechanisms. Retractions can be complex, but a rate significantly lower than the norm suggests that systemic failures in methodology or integrity are effectively prevented prior to publication. This result points to a strong institutional culture of rigor and responsible supervision, which serves as a cornerstone of its scientific credibility.

Rate of Institutional Self-Citation

The university's rate of institutional self-citation (Z-score: 0.191) is nearly identical to the national average (0.208), indicating that its practices align with a systemic pattern common throughout the country. A certain level of self-citation is natural and reflects the continuity of research lines. However, this medium-risk level suggests a need for awareness, as it can signal the potential for scientific isolation or "echo chambers" where work is validated internally without sufficient external scrutiny. This pattern warrants observation to ensure that the institution's academic influence is driven by global community recognition rather than being oversized by internal dynamics.

Rate of Output in Discontinued Journals

With a Z-score of -0.238, the university's rate of publication in discontinued journals is low, yet it is slightly higher than the national benchmark of -0.328. This subtle difference points to an incipient vulnerability that warrants review before it can escalate. A high proportion of output in such journals can be a critical alert regarding due diligence in selecting dissemination channels. While the current level is not alarming, this signal suggests a need to reinforce information literacy among researchers to completely avoid channeling work through media that may not meet international quality standards, thus preventing any potential reputational risk.

Rate of Hyper-Authored Output

The institution's rate of hyper-authored output (Z-score: 0.775) is classified as a medium risk, but it is notably lower than the national average of 0.881. This indicates a degree of differentiated management, where the university appears to be moderating a risk that is more prevalent across the country. A high Z-score in this area can indicate author list inflation, which dilutes individual accountability and transparency. Kagawa University's ability to maintain a lower rate than its peers is a positive sign, though the medium level still calls for continued vigilance to distinguish between necessary massive collaboration and questionable "honorary" authorship practices.

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

Kagawa University shows a high exposure to impact dependency, with a Z-score of 1.101, which is considerably above the national average of 0.809. This wide positive gap—where overall impact is higher than the impact of research led by the institution—signals a potential sustainability risk. It suggests that a significant portion of the university's scientific prestige may be dependent and exogenous, rather than structural. This finding invites a strategic reflection on whether its excellence metrics result from its own internal capacity and intellectual leadership or from strategic positioning in collaborations where it does not hold a primary role.

Rate of Hyperprolific Authors

The university displays a high exposure to the risk of hyperprolific authors, with a Z-score of 0.711 that significantly exceeds the national average of 0.288. This indicates that the institution is more prone to this alert signal than its environment. Extreme individual publication volumes often challenge the limits of meaningful intellectual contribution and can point to imbalances between quantity and quality. This indicator alerts to potential risks such as coercive authorship or the assignment of authorship without real participation—dynamics that prioritize metrics over the integrity of the scientific record and warrant closer institutional review.

Rate of Output in Institutional Journals

In its use of institutional journals, Kagawa University demonstrates an exemplary standard, with a Z-score of -0.268 that is even lower than the minimal national average of -0.139. This reflects a state of total operational silence for this risk, indicating an absence of concerning signals. By avoiding excessive dependence on its own journals, the institution effectively mitigates conflicts of interest and the risk of academic endogamy. This commitment to independent, external peer review strengthens the global visibility and credibility of its scientific production, ensuring it is validated against competitive international standards.

Rate of Redundant Output (Salami Slicing)

The rate of redundant output at the university is an area of concern, with a Z-score of 0.930 that is not only in the medium-risk category but also higher than the national average of 0.778. This suggests a greater exposure to this risk compared to its national peers. Massive bibliographic overlap between publications can indicate data fragmentation or "salami slicing," a practice of dividing a single study into minimal publishable units to artificially inflate productivity. This dynamic can distort the scientific evidence base and warrants strategic attention to ensure that institutional incentives prioritize significant new knowledge over publication volume.

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