Quantifying success in science plays a key role in guiding funding allocations, recruitment decisions, and rewards. Recently, a significant amount of progresses have been made towards quantifying success in science. This lack of detailed analysis and summary continues a practical issue. The literature reports the factors influencing scholarly impact and evaluation methods and indices aimed at overcoming this crucial weakness. We focus on categorizing and reviewing the current development on evaluation indices of scholarly impact, including paper impact, scholar impact, and journal impact. Besides, we summarize the issues of existing evaluation methods and indices, investigate the open issues and challenges, and provide possible solutions, including the pattern of collaboration impact, unified evaluation standards, implicit success factor mining, dynamic academic network embedding, and scholarly impact inflation. This paper should help the researchers obtaining a broader understanding of quantifying success in science, and identifying some potential research directions.

中文翻译：

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量化科学成功：概述

量化科学上的成功在指导资金分配、招聘决策和奖励方面起着关键作用。最近，在量化科学成功方面取得了重大进展。缺乏详细的分析和总结仍然是一个实际问题。文献报道了影响学术影响的因素以及旨在克服这一关键弱点的评估方法和指标。我们专注于对学术影响力评价指标的当前发展进行分类和回顾，包括论文影响力、学者影响力和期刊影响力。此外，我们总结了现有评估方法和指标存在的问题，调查了未解决的问题和挑战，并提供了可能的解决方案，包括协作影响模式、统一评估标准、隐性成功因素挖掘、动态学术网络嵌入和学术影响通胀。这篇论文应该有助于研究人员更广泛地理解量化科学成功，并确定一些潜在的研究方向。