| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 803 | 9 | 8 | 6 |
The journal mainly tackles studies in Theoretical computer science, Wireless, Linear network coding, Coding theory and Cryptography. The research on Theoretical computer science tackled can also make contributions to studies in the areas of Decoding methods and Authentication. Studies in Decoding methods were the highlight in it but it also discussed other topics like Design rationale, Luby transform code, Online codes, Encoding (memory) and Raptor code.
It focuses on Wireless but the discussions also offer insight into other areas such as Multiuser detection and MIMO. The journal focused on works that combine foundational knowledge of Linear network coding with components of disciplines like Active networking, Computer network, Distributed computing and Multiple source.
Linear network coding, Active networking, Coding theory, Cryptography and Wireless are the main subjects of interest in the most cited papers. The published papers aim to form a more comprehensive understanding of the field by integrating Linear network coding with subjects such as Computer network, Distributed computing and Multiple source.
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 Foundations and Trends in Communications and Information Theory (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 Foundations and Trends in Communications and Information Theory (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 2019 edition, 50.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 100.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 0.00% 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.
In addition to the academic contributions outlined above, it's important to note how these research topics can be applied to real-world situations. Concepts such as Theoretical computer science and Linear network coding have big implications in the field of technology, especially when it comes to network construction and data transfer. Moreover, a strong understanding of cryptography supports the secure transmission of data, protecting information against unauthorized access or manipulation.
Furthermore, studies in wireless technology and multiuser detection can play a critical role in evolving fast and reliable internet connectivity, particularly in rural or remote areas. Even in fields as diverse as education, these knowledge domains can find relevance. For example, the use of technology in teaching and classroom management has increased tremendously in recent years. Therefore, having an understanding of these areas could be beneficial for individuals considering a career in educational technology. For those interested in becoming a preschool teacher assistant, particularly in Mississippi, among the many skills that could be useful, a basic understanding of technology is increasingly becoming important due to the digitization of educational resources. Read more about the preschool teacher assistant requirements in Mississippi.
Georgios S. Paschos;George Iosifidis;Giuseppe Caire
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