| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 38 | 708 | 1434 | 55 |
The journal covers a variety of subjects, including Artificial intelligence, Electronic engineering, Voltage, Control theory and Algorithm. The studies in Artificial intelligence featured incorporate elements of Machine learning, Computer vision and Pattern recognition. The field of Electrical engineering is the anchor for the Voltage studies presented in Electronics.
Control theory is a primary topic of Control theory research in it. Many of the studies tackled connect Deep learning with a similar field of study like Artificial neural network.
The most cited articles facilitate discussions on Artificial intelligence, Deep learning, Electronic engineering, Pattern recognition and Artificial neural network. While Artificial intelligence is the focus of the journal publications, it also provides insights into the studies of Machine learning and Computer vision. In addition to Electronic engineering research, the journal articles aim to explore topics under MIMO and Voltage.
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 Electronics (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 Electronics (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, 95.74% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.17% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.48% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.69% of all publications and 47.66% 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.
Mohiuddin Ahmed;Raihan Seraj;Syed Mohammed Shamsul Islam
(2020)Maher G. M. Abdolrasol;S. M. Suhail Hussain;Taha Selim Ustun;Mahidur R. Sarker
(2021)Sk Mahmudul Hassan;Arnab Kumar Maji;Michał Jasiński;Zbigniew Leonowicz
(2021)Hee-Je Kim;Tnv Krishna;Kamran Zeb;Vinodh Rajangam
(2020)Naser Ojaroudi Parchin;Haleh Jahanbakhsh Basherlou;Yasir I. A. Al-Yasir;Ahmed M. Abdulkhaleq
(2020)Ashutosh Sharma;Sarishma;Ravi Tomar;Naveen Chilamkurti
(2020)Himanshu Sharma;Ahteshamul Haque;Frede Blaabjerg
(2021)For those interested in Mechanical and Aerospace Engineering, exploring related online degrees can open additional career opportunities. Many professionals seek programs that fit their schedules, such as one year degree programs for seniors, which offer a streamlined path for continued education or a career pivot without extensive time commitments.
Additionally, accelerated programs are gaining popularity. Students aiming to fast-track their education might consider accelerated bachelor degree programs, designed to help complete courses in less time while maintaining quality. These options provide flexibility and efficiency for busy learners.
While largely focused on healthcare, fields like psychology intersect with engineering in areas such as human factors and ergonomics. Programs like psyd programs online apa accredited and the fastest psych np program emphasize flexible online study, showcasing how various disciplines adapt to online learning methodologies.
Overall, these pathways highlight the growing trend of accessible, efficient online education options that can complement or broaden career prospects within and beyond engineering.