| Indicator | University Z-score | Average country Z-score |
|---|---|---|
|
Multi-affiliation
|
-1.264 | -0.927 |
|
Retracted Output
|
-0.108 | 0.279 |
|
Institutional Self-Citation
|
-0.257 | 0.520 |
|
Discontinued Journals Output
|
1.521 | 1.099 |
|
Hyperauthored Output
|
-1.383 | -1.024 |
|
Leadership Impact Gap
|
-0.279 | -0.292 |
|
Hyperprolific Authors
|
-1.286 | -0.067 |
|
Institutional Journal Output
|
-0.268 | -0.250 |
|
Redundant Output
|
2.274 | 0.720 |
Siddhartha Academy of Higher Education presents a robust scientific integrity profile, characterized by an overall risk score of 0.008, indicating a strong foundation in responsible research practices. The institution demonstrates exceptional strengths in maintaining very low rates of multiple affiliations, hyper-authored output, hyperprolific authors, and publication in institutional journals, often outperforming national benchmarks. This operational diligence is further highlighted by its resilience against national trends in retracted publications and institutional self-citation. However, two areas require strategic attention: a tendency to publish in discontinued journals and a notable rate of redundant output, both of which exceed the national average. These vulnerabilities could undermine the institution's mission "to nurture excellence in education and innovation for creating a knowledgeable society." The pursuit of excellence is directly challenged by practices that may prioritize publication volume over substantive contribution. The institution's strong positioning in the SCImago Institutions Rankings, particularly in fields like Earth and Planetary Sciences, Physics and Astronomy, and Computer Science, provides a solid platform for growth. By addressing the identified weaknesses in publication strategy and research fragmentation, the Academy can fully align its operational practices with its ambitious mission, solidifying its reputation as a global university committed to genuine innovation and societal impact.
The institution exhibits a Z-score of -1.264, which is even lower than the national average of -0.927. This result signifies a complete absence of risk signals related to affiliation strategies, positioning the Academy in a state of operational silence that surpasses the already low-risk national context. While multiple affiliations can be legitimate, disproportionately high rates can signal attempts to inflate institutional credit. The institution's exceptionally low score indicates a clear and transparent policy regarding author affiliations, ensuring that credit is assigned accurately and without artificial enhancement, which reinforces its commitment to straightforward and ethical research reporting.
With a Z-score of -0.108, the institution demonstrates a low rate of retracted publications, contrasting favorably with the national average of 0.279, which signals a medium level of risk. This suggests the presence of effective institutional resilience, where internal control mechanisms successfully mitigate the systemic risks more prevalent across the country. A high rate of retractions can indicate that quality control mechanisms prior to publication may be failing. The Academy's strong performance in this area points to a robust culture of integrity and methodological rigor, where potential errors are likely identified and corrected before they can damage the scientific record, reflecting responsible supervision and a commitment to quality.
The institution's Z-score for self-citation is -0.257, a low value that stands in positive contrast to the national average of 0.520. This difference indicates a strong institutional resilience, suggesting that the Academy's control mechanisms or academic culture effectively counteracts the broader national tendency toward higher self-citation rates. While some self-citation is natural, high rates can signal scientific isolation or 'echo chambers.' The Academy's profile suggests its research is validated through broad external scrutiny rather than internal dynamics, avoiding the risk of endogamous impact inflation and demonstrating that its academic influence is earned through recognition by the global community.
The institution shows a Z-score of 1.521 in this indicator, a value that points to a medium level of risk and is notably higher than the national average of 1.099. This suggests a high exposure to this particular risk, indicating the institution is more prone than its national peers to channel research into questionable outlets. A significant presence in discontinued journals is a critical alert regarding due diligence in selecting dissemination channels, as it exposes the institution to severe reputational damage. This pattern suggests an urgent need to enhance information literacy among researchers to avoid wasting resources on 'predatory' or low-quality publications that do not meet international ethical or quality standards.
With a Z-score of -1.383, the institution displays a very low rate of hyper-authored publications, well below the country's already low average of -1.024. This demonstrates a low-profile consistency, where the complete absence of risk signals aligns with and even improves upon the national standard. Outside of "Big Science" contexts, an elevated rate in this indicator can suggest author list inflation, which dilutes individual accountability. The Academy's very low score is a positive sign of transparent and appropriate authorship practices, ensuring that credit is assigned based on meaningful contributions and upholding the principle of accountability in research.
The institution's Z-score of -0.279 is almost identical to the national average of -0.292, reflecting a state of statistical normality. The risk level is as expected for its context, indicating a healthy balance in its collaboration strategy. A wide positive gap can signal a sustainability risk, where an institution's prestige is overly dependent on external partners rather than its own structural capacity. The Academy's score demonstrates that the impact of its internally-led research is on par with its collaborative output, confirming that its scientific prestige is built on genuine internal capabilities and intellectual leadership, not merely on strategic positioning in collaborations.
The institution's Z-score in this area is -1.286, a very low value that is significantly better than the national average of -0.067. This finding points to a low-profile consistency, where the absence of risk signals is in harmony with the national context, but with a greater degree of control. Extreme individual publication volumes can challenge the limits of meaningful intellectual contribution and may signal an imbalance between quantity and quality. The Academy's excellent result suggests a research environment that prioritizes substantive scientific work over sheer volume, effectively avoiding risks such as coercive authorship or the assignment of credit without real participation.
With a Z-score of -0.268, the institution's rate of publication in its own journals is very low and closely mirrors the national average of -0.250. This reflects a state of integrity synchrony, showing total alignment with a national environment of maximum scientific security in this regard. Excessive dependence on in-house journals can create conflicts of interest and academic endogamy, allowing research to bypass independent external peer review. The Academy's minimal reliance on such channels demonstrates a commitment to global visibility and competitive validation, ensuring its scientific production is assessed by international standards.
The institution has a Z-score of 2.274 for redundant output, a medium-risk value that is substantially higher than the national average of 0.720. This indicates a high exposure to this risk, suggesting the center is significantly more prone to this practice than its peers. Massive bibliographic overlap between publications often points to data fragmentation or 'salami slicing,' where a single study is divided into minimal units to artificially inflate productivity metrics. This practice not only distorts the scientific evidence but also overburdens the peer review system. This signal warrants a review of institutional incentives to ensure that the focus remains on producing significant new knowledge rather than maximizing publication counts.
