Published by: Institute of Advanced Engineering and Science (IAES)
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 390 | 19 | 23 | 7 |
| Computer Science | 466 | 32 | 39 | 13 |
The journal covers a variety of subjects, including Artificial intelligence, Control theory, Electrical engineering, Algorithm and Computer network. Artificial intelligence research presented in it encompasses a variety of subjects, including Machine learning, Computer vision and Pattern recognition. Issues in Control theory were discussed, taking into consideration concepts from other disciplines like Power (physics), Electric power system and Voltage.
It emphasizes research on Computer network, which includes concerns such as Wireless sensor network.
The published papers investigate studies in Artificial intelligence, Control theory, Electrical engineering, Pattern recognition and Computer vision. The published articles explore issues in Artificial intelligence which can be linked to other research areas like Machine learning and Speech recognition. The most cited publications explore research in Electrical engineering alongside concepts in Power (physics) and other areas of study in Algorithm.
International Journal of Electrical and Computer Engineering generally zeroes in on subjects such as Artificial intelligence, Deep learning, Control theory, Pattern recognition and Power (physics). The work on Artificial intelligence tackled in the journal brings together disciplines like Machine learning and Computer vision. Control theory and PID controller are all areas of Control theory tackled in it.
The work on Pattern recognition addressed in the journal expands to the thematically related Image (mathematics). It holds forums on Power (physics) that merges themes from other disciplines such as Renewable energy and Voltage. The Artificial neural network study featured in it draws parallels with the field of MATLAB.
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 International Journal of 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 International Journal of 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 2022 edition, 21.37% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 11.96% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.48% of all publications and 59.24% 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.
Barween Al Kurdi;Muhammad Alshurideh;Said A. Salloum
(2020)Ahlam Wahdan;Sendeyah Al Hantoobi;Said A. Salloum;Khaled Shaalan
(2020)Mohammed Amin Almaiah;Ziad Dawahdeh;Omar Almomani;Adeeb Alsaaidah
(2020)Lakshmana Kumar Ramasamy;Seifedine Kadry;Yunyoung Nam;Maytham N. Meqdad
(2021)Heliasadat Hosseinian;Hossein Shahinzadeh;Gevork B. Gharehpetian;Zohreh Azani
(2020)Firoz Khan;R. Lakshmana Kumar;Seifedine Kadry;Yunyoung Nam
(2021)Hana Yousuf;Michael Lahzi;Said A. Salloum;Khaled Shaalan
(2021)P. Chandana;G. S. Pradeep Ghantasala;J. Rethna Virgil Jeny;Kaushik Sekaran
(2020)Firoz Khan;R. Lakshmana Kumar;Seifedine Kadry;Yunyoung Nam
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