  Future Generation Computer Systems (FGCS), published by Elsevier, is a
prestigious peer reviewed journal that started in 1984. As on date of writing
this article, the journal is in its 137th volume. Owing to its publication
quality and continued academic standards, it has been indexed by major academic
databases such as Web of Science, Scopus, DOAJ etc. It is now ranked among the
top journals in the area of Computer Science (General). Motivated by the long
history, academic reputation and prestige of the journal, the present study
attempts to do a bibliometric and text-based analysis of publications in the
journal during the period of 1984-2020 (37 years). Bibliometric analysis helped
to identify publishing and citation patterns, authorship and collaboration
structure, funding patterns of the published research, open access and
altmetric impact, gender distribution and SDG connections etc. The
text-integrated path analysis helped in identifying the thematic structure and
major concept evolution trajectories. The results of the analysis indicate that
the FGCS journal is a high-quality research journal that has grown over time in
terms of publications, citations and rankings. It publishes articles in
specified thematic areas, with cloud, grid, IoT, Blockchain etc. found as the
major themes addressed. Knowledge extension from cloud computing to
multi-domain networks is witnessed and a divergence towards service function
chains, distributed machine learning and edge computing systems is visible. The
article thus presents very informative and useful insight about research
publication trends in FGCS.
