| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 321 | 19 | 31 | 11 |
| Engineering and Technology | 615 | 31 | 29 | 14 |
Engineering Science and Technology, an International Journal facilitates discussions on Control theory, Mechanics, Composite material, Artificial intelligence and Electronic engineering. Topics in Control theory were tackled in line with various other fields like Power (physics), Electric power system and Fuzzy logic. Mechanics studies presented in Engineering Science and Technology, an International Journal focus on topics such as Heat transfer and Nusselt number.
In the journal, researchers investigate the Heat transfer study as part of research in the field of Thermodynamics. Composite material, which encompasses Composite number and Ultimate tensile strength, is the main subject of the journal. Artificial intelligence research presented in the journal encompasses a variety of subjects, including Computer vision and Pattern recognition.
The published articles mainly tackle studies in Mechanics, Machining, Mathematical optimization, Thermodynamics and Metallurgy. The most cited papers hold forums on Mechanics that merge themes from other disciplines such as Porous medium and Classical mechanics. The most cited articles tackle studies in Control theory and the interrelated subject of Fuzzy logic to gain insights into Particle swarm optimization.
The scientific interests tackled in the journal are Control theory, Composite material, Artificial intelligence, Control theory and Algorithm. Engineering Science and Technology, an International Journal holds forums on Control theory that merges themes from other disciplines such as Power (physics), Permanent magnet synchronous generator, Electric power system and Fuzzy logic. The journal covers various topics on Composite material such as Indentation hardness, Composite number and Scanning electron microscope.
The research on Artificial intelligence featured in Engineering Science and Technology, an International Journal combines topics in other fields like Computer vision and Pattern recognition. It explores research in Pattern recognition and the adjacent study of Feature (machine learning). Control theory and Robustness (computer science) are closely related fields of research discussed in the journal.
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 Engineering Science and Technology, an International Journal (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 Engineering Science and Technology, an International Journal (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, 6.07% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.93% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.45% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.42% of all publications and 60.20% 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.
Yogendra Arya;Pankaj Dahiya;Emre Çelik;Gulshan Sharma
(2021)Unknown
(2023)Juan Fernando Balarezo;Song Wang;Karina Gomez Chavez;Akram Al-Hourani
(2021)Mustafa Aktas;Khaled Awaili;Mehrdad Ehsani;Aydemir Arisoy
(2020)Hosein Naderpour;Danial Rezazadeh Eidgahee;Pouyan Fakharian;Amir Hossein Rafiean
(2020)Wahid Ferdous;Allan Manalo;Joshua Peauril;Choman Salih
(2020)Ali A. Mohammed;Allan C. Manalo;Wahid Ferdous;Yan Zhuge
(2020)Ibrahim Eke;Mustafa Saka;Haluk Gozde;Yogendra Arya
(2021)Upendra Rajak;Tikendra Nath Verma
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