| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 236 | 125 | 141 | 23 |
The aim of Computing is to expand the discussion of research in Computer communication networks, Mathematical analysis, Algorithm, Applied mathematics and Mathematical optimization. While the journal primarily focused on Computer communication networks, it also opened dialogues on disciplines such as Humanities, Combinatorics, Discrete mathematics, Calculus and Convergence (routing). Studies on Mathematical analysis discussed in Computing link to the field of Nonlinear system.
The studies in Applied mathematics featured incorporate elements of Iterative method and Finite element method.
The published articles focus largely on the fields of Mathematical analysis, Computer communication networks, Algorithm, Applied mathematics and Mathematical optimization. Aside from discussions in Mathematical analysis, the journal papers also deal with the subject of Finite element method which intersects with Multigrid method disciplines. Studies in Computer communication networks were the highlight in the published papers but they also discussed other topics like Combinatorics and Humanities.
The journal focuses largely on the fields of Artificial intelligence, Cloud computing, Computer communication networks, Distributed computing and Algorithm. The overlapping concepts between Machine learning and Context (language use) are the key highlights of Artificial intelligence study. The Cloud computing works featured in the journal incorporate elements from Computer security, Virtual machine, Scheduling (computing) and Enhanced Data Rates for GSM Evolution.
The research on Scheduling (computing) tackled can also make contributions to studies in the areas of Energy consumption, Workflow and Task (computing). The featured Distributed computing studies mainly concentrate on Cluster analysis but also cover areas of interest in Data mining. The Artificial neural network research presented in the journal explores the relationship between Real-time computing and the closely related topic of Anomaly detection and Wireless sensor network.
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 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 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, 9.83% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 1.28% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.21% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.18% of all publications and 83.33% 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.
Given the increasing prominence of computing in education, there is growing interest among prospective teachers in the requirements of becoming a private school teacher specializing in computing in different states, including Oregon. This article aims to satisfy that curiosity. The demand for computer science teachers in private schools is escalating due to a shift towards equipping students with digital competencies for the future workforce. However, the academic requirements for teaching computing at private schools can vary from one state to another. In Oregon, for instance, prospective private school teachers are usually required to hold at least a bachelor's degree in education or a field relevant to what they intend to teach — in this case, computer science or a related degree. However, unlike in public schools, a teaching license is not always a prerequisite but is preferred. The exact requirements may also depend upon the specific mandate of the private institution. While the minimum requirement is a bachelor's degree, a potential teacher who possesses a master's degree in an area like computer science may have an edge in the hiring process. Practical experience in computing, coding, system analysis, or any related field is also usually highly prized by private educational institutions. Moreover, aside from academic qualifications, private school teachers in Oregon are generally expected to fulfill several professional requirements. These could include strong communication skills, a passion for teaching, and a dedication to continuous learning and professional development. If you are interested in more specific details or other aspects of becoming a private school teacher of computing in Oregon, you might find this article on private school teacher requirements oregon useful. It provides comprehensive information on the subject and might help guide you on your professional journey.
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