| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 91 | 204 | 313 | 45 |
The main points discussed in the journal deals with Distributed computing, Cloud computing, Computer network, Artificial intelligence and Algorithm. Cluster Computing explores topics in Distributed computing which can be helpful for research in disciplines like Energy consumption, Quality of service, Scheduling (computing) and Scalability. The study on Energy consumption presented is investigated in conjunction with research in Efficient energy use.
Job shop scheduling is a major topic of Scheduling (computing) research presented in it. While it focused on Cloud computing, it was also able to explore topics like Computer security, Virtual machine, Resource (project management) and The Internet. Cluster Computing features Computer network research that overlaps with concepts in Throughput.
Cluster Computing focuses on Artificial intelligence but the discussions also offer insight into other areas such as Machine learning, Computer vision and Pattern recognition.
The most cited publications focus largely on the fields of Distributed computing, Computer network, Cloud computing, Scheduling (computing) and Artificial intelligence. While the primary focus in the most cited articles is Distributed computing, they also dissect topics surrounding Resource (project management) and Resource allocation and Resource management as a whole. While Cloud computing is the key highlight in the published papers, thet also covered some subjects on Virtual machine and Virtualization.
The journal aims to foster the development of research in Cloud computing, Distributed computing, Computer network, Scheduling (computing) and Virtual machine. The journal explores issues in Cloud computing which can be linked to other research areas like Quality of service, Task (project management), Resource (project management), Workflow and Job shop scheduling. The majority of Distributed computing studies are focused on the issues of Load balancing (computing).
Topics in Computer network were tackled in line with various other fields like Energy consumption and Throughput. Many of the studies tackled connect Scheduling (computing) with a similar field of study like Workload. Virtual machine and Efficient energy use are closely related fields of research discussed in Cluster Computing.
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 Cluster 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 Cluster 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, 7.80% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.46% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.31% of all publications and 74.23% 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.
For those interested in pursuing a career in Computational Research, it is essential to acquire a strong foundation in related academic fields. Following a systematic educational path plays a crucial role in honing one's skills and deepening their knowledge base before embarking on such a complex arena of study. The paths to becoming a researcher in Computational fields such as, but not limited to, Distributed computing, Cloud computing, and Artificial intelligence, are varied and rich with knowledge. If you're leaning towards the educational sector, consider becoming an educator in a subject you're passionate about. Being an instructor doesn't only entail teaching. It also involves researching and learning alongside your students. One such path you may wish to consider is becoming a high school English teacher. Teaching English in high school offers you a unique opportunity to instill a love for literature and language in young minds, thus making a significant contribution to the field of education and your personal growth as an educator and learner. To give you a head start, have a look at our comprehensive guide on how to become a high school English teacher in South Dakota. It will provide you with basic requirements, certifications, and qualifications needed. Remember, no matter which field you choose, you will always continue to learn and grow as a researcher, teacher, and student of your chosen discipline. Happy learning!
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(2024)Laith Mohammad Abualigah;Ali Diabat;Ali Diabat
(2021)Umair Khalid;Muhammad Asim;Thar Baker;Patrick C. K. Hung
(2020)Ali Shahidinejad;Mostafa Ghobaei-Arani;Mohammad Masdari
(2021)Deepa Pavithran;Khaled Shaalan;Jamal N. Al-Karaki;Amjad Gawanmeh
(2020)Anichur Rahman;Chinmay Chakraborty;Adnan Anwar;Razaul Karim
(2021)Lewis Tseng;Xinyu Yao;Safa Otoum;Moayad Aloqaily
(2020)Jun-qing Li;Jun-qing Li;Yun-qi Han
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