Manhattan College

Region/Country

Northern America
United States
Universities and research institutions

Overall

-0.306

Integrity Risk

very low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
-0.399 -0.514
Retracted Output
-0.174 -0.126
Institutional Self-Citation
-1.263 -0.566
Discontinued Journals Output
-0.358 -0.415
Hyperauthored Output
0.133 0.594
Leadership Impact Gap
0.356 0.284
Hyperprolific Authors
-1.413 -0.275
Institutional Journal Output
-0.268 -0.220
Redundant Output
1.288 0.027
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Manhattan College presents a robust scientific integrity profile, with an overall risk score of -0.306 that indicates a performance generally aligned with, and in several key areas exceeding, the standards of the United States. The institution's primary strengths lie in its exceptionally low rates of Institutional Self-Citation, Hyperprolific Authors, and Output in Institutional Journals, signaling a strong culture of external validation and individual accountability. Areas requiring strategic attention include a medium-risk exposure to Redundant Output (Salami Slicing) and a notable gap between the impact of its total versus institution-led research, which are more pronounced than the national average. According to SCImago Institutions Rankings data, the college's key areas of scholarly contribution include Arts and Humanities; Business, Management and Accounting; Economics, Econometrics and Finance; and Social Sciences. The identified vulnerabilities, particularly the tendency towards redundant publication, could challenge the institution's mission to "live out the mission year-round," as a commitment to academic excellence implies prioritizing substantive knowledge over publication volume. By leveraging its foundational strengths in research integrity, Manhattan College is well-positioned to implement targeted policies that address these specific vulnerabilities, thereby reinforcing its commitment to a transparent, impactful, and mission-aligned scientific enterprise.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

With a Z-score of -0.399, Manhattan College's rate of multiple affiliations is slightly higher than the national average of -0.514. This score suggests an incipient vulnerability that warrants monitoring. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, this slight elevation compared to the national baseline indicates a pattern that could, if it grows, signal strategic attempts to inflate institutional credit. The data points to a need for a proactive review of affiliation policies to ensure they reflect genuine collaboration and contribution before this trend escalates.

Rate of Retracted Output

The institution's Z-score for retracted output is -0.174, which is statistically normal and closely aligned with the national average of -0.126. This level of risk is as expected for an institution of its context and size. Retractions are complex events, and a rate consistent with the national environment suggests that the college's quality control and post-publication correction mechanisms are functioning appropriately, without indicating any systemic failure in its integrity culture or methodological rigor.

Rate of Institutional Self-Citation

Manhattan College demonstrates an exceptionally strong profile in this area, with a Z-score of -1.263, significantly below the national average of -0.566. This absence of risk signals is consistent with the low-risk national environment but showcases an even more rigorous standard. A certain level of self-citation is natural, but the institution's very low rate indicates it successfully avoids scientific isolation or 'echo chambers.' This result strongly suggests that the institution's academic influence is built upon broad recognition by the external scientific community rather than being inflated by endogamous internal dynamics.

Rate of Output in Discontinued Journals

The institution's Z-score of -0.358 for output in discontinued journals is minimal, yet slightly higher than the national average of -0.415. This represents a level of residual noise in an otherwise inert risk environment. While the overall risk is very low, this minor signal suggests that, on rare occasions, institutional research may be channeled through media that do not meet international quality standards. It points to an opportunity for enhancing information literacy and due diligence processes to completely eliminate the reputational risks associated with low-quality or 'predatory' dissemination channels.

Rate of Hyper-Authored Output

With a Z-score of 0.133, Manhattan College shows a medium risk level for hyper-authored output, yet this is considerably lower than the national average of 0.594. This indicates a differentiated management approach, where the institution effectively moderates a risk that is more common nationally. While extensive author lists are legitimate in 'Big Science,' a medium score outside these contexts can signal author list inflation. The college's ability to keep this rate below the national trend suggests its control mechanisms are more effective, though it remains an area to monitor to ensure authorship reflects genuine contribution and accountability.

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

The institution exhibits a Z-score of 0.356 in this indicator, which is higher than the national average of 0.284. This reflects a high exposure to dependency risk, suggesting the college is more prone to this alert than its peers. A wide positive gap, where overall impact is significantly higher than the impact of research led by the institution, signals a potential sustainability risk. This value suggests that a portion of the institution's scientific prestige may be dependent and exogenous, stemming from collaborations where it does not exercise primary intellectual leadership, inviting reflection on strategies to bolster internal research capacity.

Rate of Hyperprolific Authors

Manhattan College's Z-score of -1.413 is exceptionally low, positioning it far below the national average of -0.275. This demonstrates a clear absence of risk signals and aligns with the low-risk national standard, while also outperforming it. Extreme individual publication volumes can challenge the limits of meaningful intellectual contribution and may point to risks like coercive authorship. The institution's very low score in this area is a strong positive indicator of a healthy research environment that prioritizes quality and integrity over sheer quantity, effectively preventing practices that could devalue the scientific record.

Rate of Output in Institutional Journals

The institution's Z-score of -0.268 is in near-perfect alignment with the national average of -0.220, reflecting integrity synchrony with an environment of maximum scientific security. This indicates a complete absence of risk related to academic endogamy. In-house journals can sometimes raise conflict-of-interest concerns by allowing an institution to be both judge and party. The college's negligible rate of publication in such venues demonstrates a strong commitment to independent, external peer review, ensuring its scientific production is validated through standard competitive channels and enhancing its global visibility.

Rate of Redundant Output (Salami Slicing)

With a Z-score of 1.288, Manhattan College shows a significantly higher risk for redundant output compared to the national average of 0.027. This indicates a high exposure, suggesting the institution is more prone to this practice than its environment. A high value alerts to the potential for 'salami slicing,' where a single study is fragmented into minimal publishable units to artificially inflate productivity metrics. This practice can distort the scientific evidence base and overburden the review system. This pronounced signal warrants an urgent review of authorship guidelines and mentorship practices to ensure research contributions are substantive and prioritize new knowledge over volume.

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