科学成功的基因
The Gene of Scientific Success
摘要：
本文阐述了如何识别和评估因果因素，以提高科学影响力。目前，分析科学影响力可以帮助各种学术活动，包括基金申请，导师推荐，发现潜在的合作者等。众所周知，高影响力的学者往往有更多的机会获得奖励，以鼓励他们的辛勤工作。因此，学者们在其学术生涯中，都在努力取得科学成果，提高科学影响力。然而，决定学者学术成就的因素是什么？这个问题的答案可以帮助学者更有效地进行研究。在此基础上，本文提出并分析了影响学者学术成就的因素。本文首先提出五个主要因素，包括文章中心因素、作者中心因素、地点中心因素、机构中心因素和时间因素。然后，我们应用最新的先进机器学习算法和刀切法来评估每个因果因素的重要性。实证结果显示，以作者为中心与以论文为中心的因素，对学者未来在计算机科学领域的成功有最高的关联度。此外，我们发现一个有趣的现象，即同一机构或大学的学者的h指数实际上非常接近彼此。
英文摘要：
This paper elaborates how to identify and evaluate causal factors to improve scientific impact. Currently, analyzing scientific impact can be beneficial to various academic activities including funding application, mentor recommendation, and discovering potential cooperators etc. It is universally acknowledged that high-impact scholars often have more opportunities to receive awards as an encouragement for their hard working. Therefore, scholars spend great efforts in making scientific achievements and improving scientific impact during their academic life. However, what are the determinate factors that control scholars' academic success? The answer to this question can help scholars conduct their research more efficiently. Under this consideration, our paper presents and analyzes the causal factors that are crucial for scholars' academic success. We first propose five major factors including article-centered factors, author-centered factors, venue-centered factors, institution-centered factors, and temporal factors. Then, we apply recent advanced machine learning algorithms and jackknife method to assess the importance of each causal factor. Our empirical results show that author-centered and article-centered factors have the highest relevancy to scholars' future success in the computer science area. Additionally, we discover an interesting phenomenon that the h-index of scholars within the same institution or university are actually very close to each other.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
