Research Impact

Research impact assessment aims to understand and predict the influence of scientific publications, focusing on identifying factors contributing to high citation rates and broader societal influence. Current research employs machine learning, particularly large language models and logistic regression, to analyze textual features (titles, abstracts, full text) and bibliometric data (citations, collaborations) to predict impact, often using novel methods to improve explainability and accuracy. These advancements offer improved tools for resource allocation, identifying influential researchers, and understanding the dynamics of scientific progress, ultimately enhancing the efficiency and effectiveness of the research process.