Future Generation Computer Systems

7.4k papers and 181.0k indexed citations i.

About

The 7.4k papers published in Future Generation Computer Systems in the last decades have received a total of 181.0k indexed citations. Papers published in Future Generation Computer Systems usually cover Computer Networks and Communications (4.1k papers), Information Systems (2.7k papers) and Artificial Intelligence (2.2k papers) specifically the topics of Distributed and Parallel Computing Systems (1.4k papers), Cloud Computing and Resource Management (1.3k papers) and IoT and Edge/Fog Computing (1.1k papers). The most active scholars publishing in Future Generation Computer Systems are Rajkumar Buyya, Slaven Marusic, Marimuthu Palaniswami, Jayavardhana Gubbi, Seyedali Mirjalili, Ali Asghar Heidari, Huiling Chen, Thomas Stützle, Holger H. Hoos and Khaled Salah.

In The Last Decade

Fields of papers published in Future Generation Computer Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Future Generation Computer Systems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Future Generation Computer Systems.

Countries where authors publish in Future Generation Computer Systems

Since Specialization
Citations

This map shows the geographic impact of research published in Future Generation Computer Systems. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Future Generation Computer Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Future Generation Computer Systems more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore journals with similar magnitude of impact

Rankless by CCL
2025