ABSTRACT In academia, choosing a research area is always too important because it determines the future of the researchers. However, in the current scenario, it is not possible for a new researcher to identify the attractive research areas of their interest based on the published papers due to the huge amount of data availability. Therefore, choosing the right research area is of great potential. If the right area for the research is chosen by the researcher, it can help in getting more citations and better research outcome in terms of acceptability of the work. In this paper, our focus was to find attractive research areas for a new scholar. The amount of work done in this research area is very limited therefore, there is very little past work done in this field. In order to identify the attractive research fields for new scientists, we use statistical-based approach to find the new emerging fields and top trends in research as well as comparison of our work with other models used in the same field. The results show that our approach is feasible and we find the attractive research fields effectively from the real-world research paper database in form of DBLP. GRAPHICAL ABSTRACT

中文翻译：

---

一种为新研究人员寻找研究领域的新方法

摘要 在学术界，选择一个研究领域总是太重要了，因为它决定了研究人员的未来。然而，在目前的情况下，由于大量可用的数据，新的研究人员不可能根据已发表的论文确定他们感兴趣的有吸引力的研究领域。因此，选择正确的研究领域具有巨大的潜力。如果研究人员选择了正确的研究领域，它可以帮助获得更多的引用和更好的研究成果，就工作的可接受性而言。在本文中，我们的重点是为新学者寻找有吸引力的研究领域。该研究领域的工作量非常有限，因此过去在该领域所做的工作很少。为了确定对新科学家有吸引力的研究领域，我们使用基于统计的方法来寻找新兴领域和研究的主要趋势，并将我们的工作与同一领域中使用的其他模型进行比较。结果表明，我们的方法是可行的，我们可以从真实世界的研究论文数据库中以 DBLP 的形式有效地找到有吸引力的研究领域。图形概要