Published by: Springer
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 311 | 77 | 91 | 19 |
Journal of Cloud Computing mainly deals with areas of study such as Cloud computing, Distributed computing, Computer communication networks, Computer security and Server. The study on Cloud computing featured in it expounds on the topic of Edge computing in particular. Journal of Cloud Computing holds forums on Distributed computing that merges themes from other disciplines such as Software deployment, Elasticity (cloud computing), Scheduling (computing), Provisioning and Workflow.
Aside from research in Computer communication networks, it also discusses Data science studies. Studies on Computer security discussed in the journal link to the field of Cloud computing security. The Cloud computing security research dealing mostly with Cloud testing is the focus of the journal.
Journal of Cloud Computing explores issues in Resource (project management) which can be linked to other research areas like Resource allocation and Service (systems architecture). In the journal, researchers investigate the Virtual machine study as part of research in the field of Operating system. The journal explores research in Enhanced Data Rates for GSM Evolution alongside concepts in Computer network and other areas of study in Throughput.
The journal papers are organized to address concerns in the fields of Cloud computing, Distributed computing, Server, Computer security and Cloud computing security. In addition to Cloud computing research, the most cited articles aim to explore topics under Virtual machine, Software and Service (systems architecture). Issues in Distributed computing were discussed in the journal articles, taking into consideration concepts from other disciplines like Scalability, Resource (project management), Host (network), Scheduling (computing) and Workflow.
The journal is organized to address concerns in the fields of Cloud computing, Distributed computing, Enhanced Data Rates for GSM Evolution, Edge computing and Computer network. Many of the research works in Cloud computing, specifically Computation offloading, closely connected to disciplines like Computer communication networks. While work presented in the journal provided substantial information on Distributed computing, it also covered topics in Software deployment, Quality of service, Elasticity (cloud computing), Task (computing) and Job shop scheduling.
The journal facilitates discussions on Enhanced Data Rates for GSM Evolution that incorporate concepts from other fields like Convolutional neural network and Data synchronization. The studies on Edge computing discussed can also contribute to research in the domains of Padding, Computer data storage and Electric power system. While the journal focused on Computer network, it was also able to explore topics like Internet security and Obfuscation.
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 Journal of Cloud Computing (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 Journal of Cloud Computing (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 2021 edition, 5.66% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.00% of all publications and 50.00% 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.
As the field of Cloud Computing continues to evolve with ongoing research, numerous industries are adopting its technologies. Within the education sector, especially, interest is growing due to cloud technology's potential to enhance learning and teaching experiences. As a matter of fact, numerous studies within the Journal of Cloud Computing have highlighted the transformative role of such technologies particularly in private school systems, where they have brought about significant positive changes.
Specifically in Mississippi, private schools have been pioneers in the implementation of cloud computing-based solutions into their teaching methods and curriculum development. With burgeoning data-driven methodologies, these schools are integrating these technologies into various parts of the education process - teaching, learning, and even administrative tasks. This is paving the way for more personalized, accessible, and efficient learning environments in Mississippi private schools.
However, the shift to cloud-based systems requires teachers to adapt and acquire new skills. Interested in becoming a private school teacher in Mississippi? Find out more about the {anchor} for more insights. By aligning with the evolving requirements in this digital age, you can positively contribute to this exciting transformation in education.
With active research, practical implementation, and the fostering of the necessary skills, the true potential of cloud computing in education is closer to being realized. As we continue to explore this exciting frontier, the Journal of Cloud Computing will remain at the forefront of this technological revolution in the educational sector.
Mahdi Abbasi;Milad Rafiee;Mohammad Reza Khosravi;Mohammad Reza Khosravi;Alireza Jolfaei
(2020)Wenjuan Li;Jiyi Wu;Jian Cao;Nan Chen
(2021)Salman Raza;Wei Liu;Manzoor Ahmed;Muhammad Rizwan Anwar
(2020)Wen Mo;Tian Wang;Shaobo Zhang;Jinhuan Zhang
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