论文标题
作者影响：评估，预测和挑战
Author Impact: Evaluations, Predictions, and Challenges
论文作者
论文摘要
作者影响评估和预测在确定奖励，资金和促销方面起着关键作用。在本文中，我们首先介绍作者影响评估和预测的背景。然后，我们回顾了作者影响评估的最新发展，包括数据收集，数据预处理，数据分析，功能选择，算法设计和算法评估。第三，我们提供了有关作者影响预测模型和常见评估指标的深入文献综述。最后，我们研究了代表性的研究问题，包括作者影响通货膨胀，统一评估标准，学术成功基因，识别热条纹的起源以及高阶学术网络分析。本文应帮助研究人员在作者影响评估和预测中获得更广泛的了解，并提供未来的研究方向。
Author impact evaluation and prediction play a key role in determining rewards, funding, and promotion. In this paper, we first introduce the background of author impact evaluation and prediction. Then, we review recent developments of author impact evaluation, including data collection, data pre-processing, data analysis, feature selection, algorithm design, and algorithm evaluation. Thirdly, we provide an in-depth literature review on author impact predictive models and common evaluation metrics. Finally, we look into the representative research issues, including author impact inflation, unified evaluation standards, academic success gene, identification of the origins of hot streaks, and higher-order academic networks analysis. This paper should help the researchers obtain a broader understanding in author impact evaluation and prediction, and provides future research directions.
