论文标题

量化科学成功:概述

Quantifying Success in Science: An Overview

论文作者

Bai, Xiaomei, Pan, Hanxiao, Hou, Jie, Guo, Teng, Lee, Ivan, Xia, Feng

论文摘要

量化科学成功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已经取得了大量进展。缺乏详细的分析和摘要持续了一个实际问题。文献报告了影响学术影响和评估方法和指数旨在克服这种关键弱点的因素。我们专注于对学术影响的评估指数进行分类和审查,包括纸质影响,学者影响和期刊影响。此外,我们总结了现有的评估方法和指数的问题,调查开放问题和挑战,并提供可能的解决方案,包括协作影响的模式,统一评估标准,隐含的成功因素挖掘,动态学术网络嵌入以及学术影响通货膨胀。本文应帮助研究人员对量化科学成功的更广泛理解,并确定一些潜在的研究方向。

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.

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