Research Analytics Summit 2024

Document Type

Presentation

Abstract

Senior academic leaders face mounting pressure to communicate academic impact to various stakeholders, including faculty, students, funding bodies, government agencies, and the media. However, assessing impact extends beyond traditional bibliometrics, encompassing influence on policy, culture, environment, and technology, making it complex to define and measure. Moreover, the interpretation of research impact can vary significantly depending on the perspective. In this discussion, we explore how Elsevier leverages AI to integrate quantitative metrics and qualitative narratives, offering a comprehensive approach to addressing the nuanced challenge of understanding and quantifying research impact. Through real-world examples, we demonstrate the efficacy of this approach and present innovative visualization techniques for conveying impact.

DOI

https://doi.org/10.13023/G1H3-E137

Publication Date

2024

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