| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 491 | 6 | 15 | 4 |
| Computer Science | 891 | 18 | 30 | 4 |
Journal of Computer Applications in Technology focuses largely on the fields of Artificial intelligence, Algorithm, Control theory, Finite element method and Mathematical optimization. The research on Artificial intelligence tackled can also make contributions to studies in the areas of Machine learning, Computer vision and Pattern recognition. Journal of Computer Applications in Technology focuses on Control theory as well as the interrelated topic of Control engineering.
The featured Finite element method study falls within the wider topic of Structural engineering.
The published articles generally zeroe in on subjects such as Artificial intelligence, Operations research, Process (engineering), Knowledge management and Structural engineering. While Artificial intelligence is the focus of the published articles, it also provides insights into the studies of New product development, Data mining and Computer vision. In addition to Process (engineering) research, the journal publications aim to explore topics under Computer Aided Design and Systems engineering.
Journal of Computer Applications in Technology tackles a plethora of topics, such as Artificial intelligence, Algorithm, Deep learning, Pattern recognition and Computer network. The studies on Artificial intelligence discussed can also contribute to research in the domains of Machine learning, Computer vision and Natural language processing. The presented studies in Video tracking fall within the purview of Computer vision but it also intertwines with topics in Multiplier (economics).
It explores topics in Algorithm which can be helpful for research in disciplines like Variable (computer science), Latency (engineering), Backbone network, Pedestrian detection and Feature model. The work on Pattern recognition tackled in it brings together disciplines like Process (computing), Extraction (military), Image registration, Resampling and Selection (linguistics). Aside from discussions in Computer network, Journal of Computer Applications in Technology also deals with the subject of Transmission (telecommunications) which intersects with Data security, Cryptography, Genetic algorithm, Hash function and Encryption disciplines.
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 Journal of Computer Applications in 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 Journal of Computer Applications in 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, 24.39% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.23% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.35% of all publications and 77.42% 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.
Ahmad Taher Azar;Fernando E. Serrano;Marco A. Flores;Sundarapandian Vaidyanathan
(2020)Ahmad Taher Azar;Fernando E. Serrano;Josep M. Rossell;Sundarapandian Vaidyanathan
(2020)Ahmed Samy;Khalid M. Hosny;Abdel Naser H. Zaied
(2020)Sundarapandian Vaidyanathan;Esteban Tlelo-Cuautle;Aceng Sambas;Leutcho Gervais Dolvis
(2020)For students considering Computer Science in the USA, exploring related online degrees can open up flexible learning opportunities. Many seek programs that balance rigor with accessibility, which is why investigating the easiest masters degree options might be a strategic starting point. These programs often provide a manageable workload without sacrificing core knowledge.
Cost is another important factor. Thankfully, there are resources highlighting the most affordable doctoral programs, allowing students to pursue advanced education without overwhelming debt. Additionally, choosing among the best online colleges that accept fafsa can further ease financial burdens, as federal aid supports numerous accredited institutions offering online Computer Science pathways.
Beyond degrees, certifications offer a practical way to boost employability. Aspiring professionals can explore what certifications can i get online to align their skills with industry demand, often resulting in higher salaries and enhanced career prospects. These certifications complement formal education and can be completed at a convenient pace.
