| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 851 | 9 | 21 | 5 |
Journal of Reliable Intelligent Environments focuses largely on the fields of Health informatics, Artificial intelligence, Computer security, Human–computer interaction and Cloud computing. The studies on Health informatics discussed can also contribute to research in the domains of Reliability (computer networking), Knowledge management, Usability, Reliability (statistics) and Data science. The Usability works featured in the journal incorporate elements from Home automation and User interface.
The Data science study featured in it draws connections with the study of Variety (cybernetics). In the journal, Machine learning and Pattern recognition are investigated in conjunction with one another to address concerns in Artificial intelligence research. Journal of Reliable Intelligent Environments focuses on Computer security but the discussions also offer insight into other areas such as The Internet and Cloud computing security.
The studies in Human–computer interaction featured incorporate elements of Smart environment and Intelligent environment. Journal of Reliable Intelligent Environments explores issues in Cloud computing which can be linked to other research areas like Quality of service, Computer network and Service (systems architecture). The study on Feature selection presented is investigated in conjunction with research in Support vector machine.
The journal publications primarily focus on research topics in Health informatics, Computer security, Cloud computing, Population and Key (cryptography). While Health informatics is the focus of the most cited papers, it also provides insights into the studies of Variety (cybernetics), The Internet and Data science. The journal publications address concerns in Computer security which are intertwined with other disciplines, such as Enhanced Data Rates for GSM Evolution, Resource allocation, Component (UML) and Traffic congestion.
Journal of Reliable Intelligent Environments investigates areas of study like Artificial intelligence, Machine learning, Health informatics, Feature selection and Usability. Artificial intelligence research presented in it encompasses a variety of subjects, including Speed limit and Architecture framework. While the journal focused on Machine learning, it was also able to explore topics like Human reliability, Estimation and Task (project management).
The studies on Health informatics discussed can also contribute to research in the domains of Computer security, Information technology and Cloud computing. The studies in Blockchain under the umbrella field of Computer security overlap with concepts in Class (computer programming), Phone and Situation awareness. Journal of Reliable Intelligent Environments focuses on Usability but also tackles concerns of closely connected disciplines like
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 Reliable Intelligent Environments (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 Reliable Intelligent Environments (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, 18.42% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.45% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.45% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 35.48% of all publications and 51.61% 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.
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Eriko Sakurai;Kentarou Kurashige;Setsuo Tsuruta;Yoshitaka Sakurai
(2020)Richard N. M. Rudd-Orthner;Lyudmila Mihaylova
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