A Novel Scholar's Evaluation from the Perspective of Academic Equilibrium Value: A Case Study of Computer Science

Objective and fair scholar evaluation promotes academic engagement and ensures proper allocation of research resources. However, current evaluation methods face challenges such as insufficient consideration of disciplinary differences, over-reliance on publication output, neglect of low-cited papers, and limited discriminative power. This paper proposes an improved evaluation metric—the Academic Equilibrium Value index (AEV-index)—based on academic equilibrium value. By incorporating weights for publication and citation tiers and integrating average publication and citation levels within disciplines, the AEV-index aims to offer a more comprehensive and equitable assessment of scholarly performance. Using Scopus data from computer science conference papers (2012-2021) across the subfields of "Network and Information Security", "Computer Graphics and Multimedia", and "Artificial Intelligence", we weighted publications and citations to evaluate researchers' academic levels. The research findings indicate that: (i) The AEV-index enhances existing scholar evaluation metrics from multiple perspectives, providing a relatively reasonable and broadly applicable comprehensive evaluation index. (ii) The AEV-index is significantly correlated with traditional scholar evaluation indicators such as total publications, total citations, and the h-index, while also moderating disciplinary differences, thereby facilitating cross-disciplinary comparisons of academic influence. (iii) Additionally, the AEV-index mitigates the negative impact of low publication output, recognizes the value of low-cited but high-quality papers, and offers improved discriminative power, thereby addressing several limitations of existing evaluation metrics.