2088-5334
Published by: Indonesian Society for Knowledge and Human Development
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 979 | 10 | 10 | 3 |
The main research concerns discussed in International Journal on Advanced Science, Engineering and Information Technology are Artificial intelligence, Food science, Agronomy, Process (engineering) and Agriculture. The work on Artificial intelligence tackled in the journal brings together disciplines like Machine learning, Computer vision and Pattern recognition.
The main points discussed in the journal publications deal with Knowledge management, Waste management, Process (engineering), Artificial neural network and Food science. The journal publications mainly focus on the study of Artificial neural network which is at the center of Machine learning and Artificial intelligence research. The published papers explore issues in Food science which can be linked to other research areas like Yeast and Botany.
The journal mainly tackles studies in Artificial intelligence, Food science, Process (engineering), Electronic engineering and Production (economics). While the journal focused on Artificial intelligence, it was also able to explore topics like Machine learning, Computer vision and Pattern recognition. The in-depth study on Electronic engineering also explores topics in the intersecting field of Data transmission.
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 on Advanced Science, Engineering and Information Technology (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 on Advanced Science, Engineering and Information Technology (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, 40.18% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.10% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.93% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.16% of all publications and 38.81% 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.
The compelling research topics discussed in this International Journal on Advanced Science, Engineering, and Information Technology not only pave the way for potential breakthroughs in various scientific fields, but also serve as gateways for myriad career opportunities. For instance, the focus on artificial intelligence naturally opens up career pathways in the fields of machine learning, computer vision, and pattern recognition. Further, a significant percentage of our research delves into the world of food science and agronomy, which could lead to careers in the agrarian sector, and in industries such as food processing and agriculture. If you're more inclined towards the teaching profession, the detailed exploration of historical events and socioeconomic patterns in the field of history could provide a defining pathway, like learning {anchor}. Our extensive research areas not only promise multiple career opportunities for upcoming professionals, but also ensure that practicing professionals can continue to enhance their knowledge base, offering tremendous advantages in their ongoing career progression.
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