Central Agricultural University

Region/Country

Asiatic Region
India
Universities and research institutions

Overall

-0.207

Integrity Risk

low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
-1.197 -0.927
Retracted Output
-0.212 0.279
Institutional Self-Citation
-0.052 0.520
Discontinued Journals Output
0.198 1.099
Hyperauthored Output
-0.721 -1.024
Leadership Impact Gap
1.137 -0.292
Hyperprolific Authors
-0.196 -0.067
Institutional Journal Output
-0.268 -0.250
Redundant Output
-0.707 0.720
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

The Central Agricultural University presents a robust scientific integrity profile, with an overall risk score of -0.207 that indicates a performance superior to the national average. The institution demonstrates significant strengths in maintaining a low rate of retracted output, institutional self-citation, and particularly in avoiding redundant publications, where it shows a preventive isolation from a risk that is prevalent nationally. These indicators of sound practice are foundational to its mission of achieving "Excellence" in research. This commitment is reflected in its strong national standing in key thematic areas according to SCImago Institutions Rankings data, including Chemistry (ranked 4th), Veterinary (ranked 18th), and Pharmacology, Toxicology and Pharmaceutics (ranked 85th). However, a notable vulnerability exists in the significant gap between the impact of its total output and that of the output where it holds intellectual leadership. This dependency on external partners for impact poses a strategic risk to its long-term goal of being a self-sustaining "center of Excellence." To fully align its operational reality with its mission, the University should leverage its strong internal governance to foster greater research autonomy and convert its collaborative successes into structural, institution-led capacity.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

With an institutional Z-score of -1.197, significantly lower than the national average of -0.927, the University demonstrates a complete absence of risk signals related to multiple affiliations. This operational silence, even when compared to an already low-risk national environment, suggests that affiliations are managed with exceptional clarity. This effectively prevents any strategic attempts to inflate institutional credit or engage in “affiliation shopping,” ensuring that collaborative credit is a legitimate reflection of researcher mobility and partnerships rather than an artificial metric.

Rate of Retracted Output

The institution exhibits notable resilience against the systemic risks of publication retractions, with a low-risk Z-score of -0.212, in contrast to the medium-risk national average of 0.279. This suggests that the University's internal control mechanisms are effectively mitigating a trend observed elsewhere in the country. A rate significantly lower than its peers indicates that quality control and supervision processes prior to publication are robust, preventing the kind of recurring malpractice or lack of methodological rigor that can damage an institution's integrity culture. This performance points to a healthy system of responsible error correction rather than systemic vulnerability.

Rate of Institutional Self-Citation

The University effectively resists the national trend towards high institutional self-citation, posting a low-risk Z-score of -0.052 while the country sits at a medium-risk 0.520. This demonstrates strong institutional resilience, indicating that its research impact is validated by the broader scientific community rather than an internal 'echo chamber.' By maintaining a natural level of self-citation that reflects the continuity of its research lines, the institution avoids the risk of endogamous impact inflation, ensuring its academic influence is based on global recognition, not oversized by internal dynamics.

Rate of Output in Discontinued Journals

While both the institution (Z-score: 0.198) and the country (Z-score: 1.099) show medium-risk signals for publishing in discontinued journals, the University demonstrates differentiated management. Its score is substantially lower than the national average, indicating that it moderates a risk that appears to be common in its environment. Nevertheless, a medium-risk score still constitutes an alert regarding due diligence in selecting dissemination channels. It suggests that a portion of its scientific production may be channeled through media that do not meet international ethical or quality standards, highlighting a need to reinforce information literacy and protect institutional resources from low-quality practices.

Rate of Hyper-Authored Output

The institution's rate of hyper-authored output (Z-score: -0.721) is well within the low-risk range, similar to the national standard (Z-score: -1.024). However, its slightly higher score points to an incipient vulnerability that warrants review before it escalates. While extensive author lists are legitimate in 'Big Science' contexts, this minor signal suggests a need to ensure that authorship practices remain transparent and accountable across all disciplines. Monitoring is advised to distinguish between necessary massive collaboration and any potential for 'honorary' or political authorship practices that could dilute individual responsibility.

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

A moderate deviation from the national standard is observed in the gap between the impact of total output and that of institution-led output. The University's medium-risk Z-score of 1.137 contrasts sharply with the country's low-risk average of -0.292, showing a greater sensitivity to this risk factor than its peers. This wide positive gap signals a potential sustainability risk, suggesting that the institution's scientific prestige is highly dependent and exogenous. This invites a critical reflection on whether its excellence metrics result from genuine internal capacity or from strategic positioning in collaborations where it does not exercise intellectual leadership, a dynamic that could undermine its long-term research autonomy.

Rate of Hyperprolific Authors

The University maintains a prudent profile regarding hyperprolific authors, with a Z-score of -0.196 that is more rigorous than the national standard of -0.067. This indicates that the institution manages its publication processes with greater control than its national peers. By keeping extreme individual publication volumes in check, the University mitigates the risks associated with prioritizing quantity over quality. This approach helps prevent dynamics such as coercive authorship or the assignment of credit without real participation, thereby safeguarding the integrity of its scientific record.

Rate of Output in Institutional Journals

In terms of publication in institutional journals, the University is in perfect synchrony with its national environment. Its Z-score of -0.268 is virtually identical to the country's average of -0.250, reflecting a total alignment within an environment of maximum scientific security. This demonstrates that the institution avoids excessive dependence on its in-house journals, thus preventing potential conflicts of interest where it might act as both judge and party. This practice ensures that its scientific production undergoes independent external peer review, maximizing global visibility and competitive validation.

Rate of Redundant Output

The institution demonstrates a remarkable case of preventive isolation from national risk dynamics concerning redundant output. Its very low-risk Z-score of -0.707 stands in stark contrast to the country's medium-risk average of 0.720. This indicates that the University does not replicate the widespread practice of 'salami slicing.' By ensuring that studies are published as coherent, significant units rather than fragmented pieces, the institution upholds the integrity of the scientific evidence it produces and avoids artificially inflating productivity metrics, prioritizing the generation of new knowledge over mere volume.

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