| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 1012 | 7 | 7 | 3 |
The scientific interests tackled in Advances in Electrical and Computer Engineering are Control theory, Artificial intelligence, Electronic engineering, Electrical engineering and Control engineering. It focuses on Control theory research which is adjacent to topics in Induction motor. Advances in Electrical and Computer Engineering addresses concerns in Artificial intelligence which are intertwined with other disciplines, such as Machine learning, Computer vision and Pattern recognition.
The majority of Electrical engineering studies in Advances in Electrical and Computer Engineering are focused on the subject of Voltage.
The journal publications are organized to address concerns in the fields of Control theory, Artificial intelligence, Electronic engineering, Electrical engineering and Artificial neural network. The published papers focus on Control theory but the discussions also offer insight into other areas such as Vector control, Induction motor and Fuzzy logic. The journal publications explore issues in Artificial intelligence which can be linked to other research areas like Nonlinear system, Particle swarm optimization, Computer vision and Pattern recognition.
Advances in Electrical and Computer Engineering focuses largely on the fields of Artificial intelligence, Control theory, Optoelectronics, Electrical engineering and Computer network. The studies on Artificial intelligence discussed can also contribute to research in the domains of Machine learning, Fourier transform, Computer vision and Pattern recognition. The presented Pattern recognition research focuses mostly on Domain (software engineering) and, on occasion, topics in Fuzzy logic and Fuzzy control system.
Disturbance (geology) is a focus of the presented Control theory works and it dives deep in Disturbance (geology). Advances in Electrical and Computer Engineering focuses on Optoelectronics but the discussions also offer insight into other areas such as Blocking (radio), Electrochemistry, Deep learning and Anode. The presented studies in Routing (electronic design automation), Quality of service and Traffic load fall within the purview of Computer network but it also intertwines with topics in Metrics.
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 Advances in Electrical and Computer Engineering (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 Advances in Electrical and Computer Engineering (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, 97.14% 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.
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