Bibliometric Patterns and Concept Evolution Trajectories in research publications in Future Generation Computer Systems

TL;DR

This study analyzes 37 years of publications in Future Generation Computer Systems, revealing growth patterns, thematic evolution, and major research trends like cloud, IoT, and blockchain, highlighting the journal's high quality and influence.

Contribution

It provides a comprehensive bibliometric and text-based analysis of FGCS publications, uncovering thematic trajectories and research evolution over 37 years.

Findings

FGCS has grown in publications, citations, and rankings.

Major themes include cloud, IoT, and blockchain.

Research has evolved towards service function chains and edge computing.

Abstract

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.