Scholar performance assessment plays an important role in reward evaluation, funding allocation, and promotion and recruitment decisions. However, raw publication counts and raw citation count-based scholar performance assessment indicators, such as H-index or author citations, have shortcomings; for example, they ignore the impact of different citation patterns under different research topics, leading to authorship credit inflation due to full citation allocation to each author in multi-author publications. This study proposes a new scholar performance assessment indicator called the normalized scholar academic productivity (NSAP) indicator, which overcomes the issues posed by raw citation counts and publication counts-related scholar performance indicators by considering diverse aspects of scholar research achievements. The NSAP indicator considers the research topic, author sequence and author role in the author list, field-normalized journal impact when allocating citation counts to scholars, and published time. The research topic is generated by the co-keyword embedding and semantic relatedness of each keyword in order to make NSAP topic-dependent; the author sequence and role affect authorship credit allocation strategy; and field-normalized journal impact was used to assign different weights on raw publication counts and citation counts. Finally, awardees of the Derek de Solla Price Memorial Medal and the Association for Information Science and Technology's awards were used to evaluate the validity of NSAP for calculating scholar performance assessment. Results reveal outstanding topic-related scholar performance assessment properties compared to raw citation count indicators, such as H-index, author citations, and cited-by counts (i.e., total number of citing authors).

学者绩效评估在奖励评估、资金分配、晋升和招聘决策中发挥着重要作用。然而，原始发表数和基于原始引用数的学者绩效评估指标，如H-index或作者引文，都存在不足；例如，他们忽略了不同研究主题下不同引用模式的影响，由于在多作者出版物中对每个作者进行了完全引用分配，从而导致作者信用膨胀。本研究提出了一种新的学者绩效评估指标，称为标准化学者学术生产力 (NSAP) 指标，该指标通过考虑学者研究成果的各个方面，克服了原始引用计数和与发表计数相关的学者绩效指标所带来的问题。NSAP 指标考虑了研究主题、作者序列和作者在作者列表中的角色、将引用计数分配给学者时的领域标准化期刊影响以及发表时间。研究主题是通过每个关键词的co-keyword embedding和语义相关性产生的，以使NSAP topic-dependent；作者顺序和角色影响作者信用分配策略；领域归一化的期刊影响力用于为原始出版物计数和引用计数分配不同的权重。最后，使用 Derek de Solla Price 纪念奖章和信息科学与技术协会奖项的获奖者来评估 NSAP 计算学者绩效评估的有效性。