2089-3191
Published by: Institute of Advanced Engineering and Science (IAES)
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 441 | 15 | 35 | 5 |
| Computer Science | 694 | 11 | 21 | 8 |
The main points discussed in the journal deals with Artificial intelligence, Control theory, Electronic engineering, Pattern recognition and Algorithm. Bulletin of Electrical Engineering and Informatics focuses on Artificial intelligence but the discussions also offer insight into other areas such as Machine learning and Computer vision. The research on Control theory tackled can also make contributions to studies in the areas of Control engineering and Voltage.
The most cited articles focus largely on the fields of Electronic engineering, Artificial intelligence, Computer network, Machine learning and Multiplexer. While work presented in the published articles provide substantial information on Electronic engineering, it also covers topics in ISM band and Multi-mode optical fiber. While the most cited papers focused on Artificial intelligence, they were also able to explore topics like Mode (statistics), Bridge (nautical), Automotive engineering, Point (geometry) and Rigidity (psychology).
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 Bulletin of Electrical Engineering and Informatics (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 Bulletin of Electrical Engineering and Informatics (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, 21.54% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.14% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.86% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.61% of all publications and 40.39% 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.
Fabio Arena;Giovanni Pau
(2020)Marwan Hamid Hassan;Salama A. Mostafa;Hairulnizam Mahdin;Aida Mustapha
(2021)Salama A. Mostafa;Aida Mustapha;Palaniappan Shamala;Omar Ibrahim Obaid
(2020)Ahmed Allawy Alawady;Ahmed Alkhayyat;Mohammed Ahmed Jubair;Mustafa Hamid Hassan
(2021)Hussein M. Haglan;Salama A. Mostafa;Noor Zuraidin Mohd Safar;Aida Mustapha
(2021)S. M. Salim Reza;Afida Ayob;Murshedul Arifeen;Nowshad Amin
(2020)For those interested in advancing their expertise in computer science, pursuing an online doctorate can offer a flexible and efficient route to the highest level of academic achievement. These programs often focus on research and practical applications, preparing graduates for specialized roles in academia and industry.
If you prefer a quicker commitment, exploring an online masters is a great option. These accelerated programs allow you to deepen your knowledge and skills within a year, enhancing your career prospects without extensive time away from work.
For those seeking to enter the workforce swiftly, some short careers that pay well provide lucrative opportunities with minimal educational requirements. These options can be particularly attractive for learners aiming to maximize earnings early in their careers.
Choosing the right educational path is crucial. Reviewing the best degrees helps align your interests with market demand, ensuring a rewarding and sustainable career in the dynamic field of computer science.