| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 1095 | 5 | 5 | 2 |
The concepts of Artificial intelligence, Data mining, Algorithm, Control theory and Discrete mathematics are tackled in Journal of Computer Science and Cybernetics. The journal addresses concerns in Artificial intelligence which are intertwined with other disciplines, such as Vietnamese, Natural language processing, Computer vision, Machine learning and Pattern recognition.
The published articles facilitate discussions on Artificial intelligence, Natural language processing, Sentiment analysis, Applied mathematics and Pattern recognition. The Artificial intelligence studies presented in the published articles encompass related topics like Bayesian network and also examine its connection to subjects such as Shortest path search. The published articles explore research in Fuzzy set and overlapping concepts in Discrete mathematics to expand the discourse in Pattern recognition.
The journal aims to foster the development of research in Artificial intelligence, Discrete mathematics, Computer network, Applied mathematics and Natural language processing. While work presented in the journal provided substantial information on Artificial intelligence, it also covered topics in Machine learning and Time series. The studies in Cardinality (SQL statements) under the umbrella field of Discrete mathematics overlap with concepts in Estimation.
It holds forums on Computer network that merges themes from other disciplines such as Energy-Efficient Ethernet, Side channel attack and Closed-form expression. The work on Applied mathematics tackled in it brings together disciplines like Process (computing), Linear system, Linear dynamical system, Exponential stability and Class (set theory). In addition to Natural language processing research, Journal of Computer Science and Cybernetics aims to explore topics under Mathematical structure, Deep learning, Semantic matching and Word (computer architecture).
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 Computer Science and Cybernetics (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 Computer Science and Cybernetics (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, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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.
The Journal of Computer Science and Cybernetics follows a meticulous and strict review process to ensure the quality and accuracy of its publications. The editorial board comprises of esteemed scholars and researchers in the field of Computer Science and Cybernetics from around the world. These experts play a vital role in reviewing submitted articles, shaping the direction of the journal, and maintaining its high standards.
The review process begins with initial screening for scope, originality, and quality of writing. If a submission meets these preliminary criteria, it is forwarded to at least two independent reviewers who have relevant expertise. This double-blind peer review maintains the integrity and impartiality of the assessment. Reviewers evaluate the article on various dimensions including its relevance to the journal’s focus, the soundness of its methodology, the validity of its findings, and the clarity of its presentation.
Once reviewers provide their recommendations, the editor-in-chief makes a decision which could be in the form of accepting the article, requesting revisions, or rejecting the paper. This comprehensive process ensures that the Journal of Computer Science and Cybernetics publishes only high-quality, impactful, and original research that contributes to the advancement of knowledge.
For those interested in education-focused research, it might also be worth looking into how education intersects technology, particularly in the discipline of history. You could, for example, learn on how to become a high school history teacher in Delaware, and integrate technology-enhanced teaching methodologies into the curriculum.
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