DBLP is the largest open-access repository of scientific articles on computer
science and provides metadata associated with publications, authors, and
venues. We retrieved more than 6 million publications from DBLP and extracted
pertinent metadata (e.g., abstracts, author affiliations, citations) from the
publication texts to create the DBLP Discovery Dataset (D3). D3 can be used to
identify trends in research activity, productivity, focus, bias, accessibility,
and impact of computer science research. We present an initial analysis focused
on the volume of computer science research (e.g., number of papers, authors,
research activity), trends in topics of interest, and citation patterns. Our
findings show that computer science is a growing research field (approx. 15%
annually), with an active and collaborative researcher community. While papers
in recent years present more bibliographical entries in comparison to previous
decades, the average number of citations has been declining. Investigating
papers' abstracts reveals that recent topic trends are clearly reflected in D3.
Finally, we list further applications of D3 and pose supplemental research
questions. The D3 dataset, our findings, and source code are publicly available
for research purposes.

本研究提取了 DBLP 上的 600 多万篇计算机科学论文，分析了计算机科学研究的趋势、活动水平、协作情况等方面。该研究的发现是计算机科学是一个快速发展的研究领域，但近年来其平均引用次数有所下降，并且最新的主题趋势也在 DBLP 数据集中得到了呈现。