0167-739X
Published by: Elsevier
https://www.sciencedirect.com/journal/future-generation-computer-systems
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 26 | 654 | 900 | 83 |
Distributed computing, Cloud computing, Artificial intelligence, Computer security and Computer network are among the topics commonly tackled in the journal. Some problems in Distributed computing that were presented in it overlapped with concepts under Scalability, Quality of service, Grid, Scheduling (computing) and Workflow. Specifically, studies on Grid computing are prevalent in the Grid works discussed.
The work on Cloud computing tackled in the journal brings together disciplines like Virtual machine, Provisioning, Software deployment and Big data. Topics in Artificial intelligence explored in Future Generation Computer Systems were investigated in conjunction with research in Machine learning and Pattern recognition.
Distributed computing, Cloud computing, Computer security, Scheduling (computing) and Artificial intelligence are the main subjects of interest in the journal papers. The most cited articles address concerns in the field of Distributed computing by exploring it in line with topics in Virtual machine which intersect with Virtualization subjects. The journal papers deal with Cloud computing in conjunction with Big data and similar fields in Data science.
Future Generation Computer Systems focuses largely on the fields of Artificial intelligence, Cloud computing, Distributed computing, Data mining and Task (project management). While Artificial intelligence is the focus of it, it also provided insights into the studies of Machine learning, Key (cryptography) and Pattern recognition. The journal explores issues in Pattern recognition which can be linked to other research areas like Noise reduction and Feature (computer vision).
It features studies on Cloud computing, including topics such as Virtualization. Distributed computing research featured in it incorporates concerns from various other topics such as Service (systems architecture), Computation, Elasticity (cloud computing), Bandwidth (computing) and Mechanism (biology). The concepts on Data mining presented in the journal can also apply to other research fields, including Feature (machine learning), Scalability, Embedding, Enhanced Data Rates for GSM Evolution and Cluster analysis.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Future Generation Computer Systems (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Future Generation Computer Systems (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2022 edition, 8.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.25% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.59% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.14% of all publications and 71.01% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Future Generation Computer Systems provides extensive research opportunities and a fertile ground for those in academia and industry. With the surge in the demand for technology professionals who can address the challenges in Distributed computing, Cloud computing, and Artificial Intelligence, there is a great potential for career pursuits in these areas.
Each of these specializations requires a unique set of skills and knowledge. For instance, aspiring professionals aiming to contribute to Distributed computing should be familiar with concepts such as Scalability, Quality of service, Grid, Scheduling (computing), and Workflow.
Cloud computing specialists, on the other hand, should be skilled in areas like Virtual machine, Provisioning, Software deployment, and Big data. If you're interested in Artificial intelligence, you may need to gain expertise in associated fields such as Machine learning and Pattern recognition.
The academic pathway to these careers may vary. Some may require advanced degrees and intense research experience, while others may need hands-on training and industry experience. For students and professionals who wish to make a career change, it could be valuable to start as a teacher assistant or researcher in a relevant area. For example, a preschool teacher assistant could establish foundational skills and gain firsthand experience in a preschool setting.
Comprehending what a career in Future Generation Computer Systems entails, recognizing the knowledge areas required, and taking practical steps can open up rewarding opportunities in this rapidly evolving domain.
Shimin Li;Huiling Chen;Mingjing Wang;Ali Asghar Heidari;Ali Asghar Heidari
(2020)Viraaji Mothukuri;Reza M. Parizi;Seyedamin Pouriyeh;Yan Huang
(2021)Zibin Zheng;Shaoan Xie;Hong Ning Dai;Weili Chen
(2020)Mohammad Ehsan Basiri;Shahla Nemati;Moloud Abdar;Erik Cambria
(2021)Shreshth Tuli;Shreshth Tuli;Nipam Basumatary;Nipam Basumatary;Sukhpal Singh Gill;Mohsen Kahani;Mohsen Kahani
(2020)Sushil Kumar Singh;Shailendra Rathore;Jong Hyuk Park
(2020)Aakanksha Tewari;Brij B. Gupta
(2020)Saqib Hakak;Mamoun Alazab;Suleman Khan;Thippa Reddy Gadekallu
(2021)Muhammad Shafiq;Zhihong Tian;Yanbin Sun;Xiaojiang Du
(2020)Exploring related online degrees can open diverse career pathways in technology and science. For students interested in cutting-edge technology, an applied artificial intelligence degree offers specialized knowledge that prepares graduates for roles in machine learning, data analysis, and robotics.
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Additionally, interdisciplinary degrees like combining elementary education with environmental science can expand career options, as highlighted in the article on jobs with elementary education and environmental science degree. This path is ideal for those looking to inspire future generations about sustainability.
