Coimbatore Institute of Technology

Region/Country

Asiatic Region
India
Universities and research institutions

Overall

0.007

Integrity Risk

medium

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
-1.216 -0.927
Retracted Output
-0.362 0.279
Institutional Self-Citation
-0.238 0.520
Discontinued Journals Output
1.856 1.099
Hyperauthored Output
-1.327 -1.024
Leadership Impact Gap
0.363 -0.292
Hyperprolific Authors
-1.413 -0.067
Institutional Journal Output
-0.268 -0.250
Redundant Output
1.876 0.720
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

With an overall integrity score of 0.007, the Coimbatore Institute of Technology demonstrates a robust and commendable scientific profile, characterized by significant strengths in operational transparency and author-level practices. The institution exhibits very low to low risk across the majority of indicators, including the Rate of Multiple Affiliations, Retracted Output, Institutional Self-Citation, Hyper-Authored Output, Hyperprolific Authors, and Output in Institutional Journals. These results point to a solid foundation of research integrity. However, areas requiring strategic attention have been identified, specifically a medium-risk exposure in the Rate of Output in Discontinued Journals, the Rate of Redundant Output, and a notable Gap between its overall impact and the impact of research under its direct leadership. These vulnerabilities, while moderate, contrast with the institution's strong performance in key thematic areas as per SCImago Institutions Rankings data, particularly in Computer Science, Engineering, and Chemistry. The mission to produce "World-class engineers" through "high quality education" and "innovative solutions" is directly challenged by these risks. Publishing in low-quality journals or fragmenting research undermines the very essence of high-quality innovation. To fully realize its ambitious mission, the Institute is advised to implement targeted policies that address these specific integrity gaps, thereby ensuring its operational practices are in complete alignment with its stated commitment to excellence and global leadership.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

The institution presents a Z-score of -1.216, which is even lower than the national average of -0.927. This signifies a state of total operational silence regarding this risk indicator. The complete absence of problematic signals, even when compared to an already secure national context, confirms that the institution's affiliation practices are exceptionally clean. While multiple affiliations can be legitimate, the data shows no evidence of their use for strategic inflation of institutional credit or “affiliation shopping,” reflecting a clear and transparent policy in declaring researcher and institutional collaborations.

Rate of Retracted Output

With a Z-score of -0.362, the institution demonstrates a low risk of retracted publications, a figure that stands in positive contrast to the country's medium-risk average of 0.279. This disparity suggests a high degree of institutional resilience. The data indicates that the center's internal control mechanisms are effectively mitigating the systemic vulnerabilities observed at the national level. This low rate suggests that, beyond correcting honest errors, the institution's pre-publication quality controls are robust, preventing the kind of recurring malpractice or lack of methodological rigor that a higher score might imply, thereby safeguarding its integrity culture.

Rate of Institutional Self-Citation

The institution's Z-score of -0.238 (low risk) is significantly healthier than the national average of 0.520 (medium risk), highlighting its capacity to resist broader trends. This performance indicates that the institution's research impact is not being artificially inflated through endogamous practices. A certain level of self-citation is natural, but the institution's controlled rate suggests its work is validated by the wider external scientific community rather than within an internal 'echo chamber.' This reinforces the idea that its academic influence is built on global recognition, not internal dynamics.

Rate of Output in Discontinued Journals

The institution's Z-score of 1.856 places it in the medium-risk category, notably higher than the national average of 1.099, which is also at a medium level. This indicates a high exposure to this particular risk, suggesting the institution is more prone than its national peers to publishing in questionable venues. A high proportion of output in journals that fail to meet international ethical or quality standards constitutes a critical alert. This pattern exposes the institution to severe reputational damage and suggests an urgent need to strengthen information literacy and due diligence processes to prevent the channeling of valuable research into 'predatory' or low-quality outlets.

Rate of Hyper-Authored Output

The institution registers a Z-score of -1.327 (very low risk), well below the country's low-risk score of -1.024. This demonstrates a low-profile consistency, where the absence of risk signals aligns with and even surpasses the national standard. This result indicates that, outside of disciplines where massive collaboration is the norm, the institution effectively avoids author list inflation. It suggests a culture of transparency and accountability, where authorship is likely granted based on meaningful contributions rather than 'honorary' or political considerations.

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

With a Z-score of 0.363, the institution shows a medium-risk gap, representing a moderate deviation from the national average of -0.292 (low risk). This suggests the institution is more sensitive than its peers to this risk factor. A wide positive gap, where overall impact is high but the impact of institution-led research is low, signals a potential risk to sustainability. The data prompts a reflection on whether the institution's scientific prestige is derived from its own structural capacity and intellectual leadership or from a strategic positioning in collaborations where it plays a secondary role, making its excellence metrics dependent and exogenous.

Rate of Hyperprolific Authors

The institution's Z-score of -1.413 is in the very low-risk category, a stark contrast to the national low-risk score of -0.067. This strong result indicates a low-profile consistency and an alignment with best practices. The absence of hyperprolific authors suggests a healthy balance between quantity and quality of output. It indicates that the institution is not fostering an environment where risks such as coercive authorship, data fragmentation, or the assignment of authorship without real participation are prevalent, thereby prioritizing the integrity of the scientific record over the inflation of metrics.

Rate of Output in Institutional Journals

The institution's Z-score of -0.268 is almost identical to the country's score of -0.250, with both in the very low-risk category. This reflects a perfect integrity synchrony and total alignment with a secure national environment. The data confirms that the institution is not overly dependent on its own journals for dissemination, thus avoiding potential conflicts of interest and academic endogamy. By ensuring its scientific production undergoes independent external peer review, the institution enhances its global visibility and avoids any perception of using internal channels as 'fast tracks' for publication without standard competitive validation.

Rate of Redundant Output

The institution exhibits a Z-score of 1.876, a medium-risk value that indicates high exposure as it is significantly greater than the national medium-risk average of 0.720. This suggests the institution is more prone than its peers to practices associated with redundant publication. A high level of recurring bibliographic overlap between publications is a strong indicator of data fragmentation or 'salami slicing.' This practice, aimed at artificially inflating productivity by dividing a single study into minimal publishable units, distorts the scientific evidence and overburdens the peer-review system, signaling a need to reinforce policies that prioritize significant new knowledge over publication volume.

This report was automatically generated using Google Gemini to provide a brief analysis of the university scores.
If you require a more in-depth analysis of the results or have any questions, please feel free to contact us.
Powered by:
Scopus®
© 2026 SCImago Integrity Risk Indicators