Robotic process automation (RPA) is a software technology that in recent years has gained a lot of attention and popularity. By now, research on RPA has spread into multiple research streams. This study aims to create a science map of RPA and its aspects by revealing latent topics related to RPA, their research interest, impact, and time development. We provide a systematic framework that is helpful to develop further research into this technology. By using an unsupervised machine learning method based on Latent Dirichlet Allocation, we were able to analyse over 2000 paper abstracts. Among these, we found 100 distinct study topics, 15 of which have been included in the science map we provide.

翻译：机器人流程自动化（RPA）是一种近年来获得广泛关注和普及的软件技术。目前，关于RPA的研究已扩散至多个研究领域。本研究旨在通过揭示与RPA相关的潜在主题、其研究关注度、影响力及时间发展脉络，构建一幅关于RPA及其各方面的科学图谱。我们提供了一个有助于推动该技术进一步研究的系统性框架。通过使用基于潜在狄利克雷分配的无监督机器学习方法，我们分析了超过2000篇论文摘要。其中，我们发现了100个不同的研究主题，其中15个已纳入我们提供的科学图谱中。