| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 462 | 8 | 21 | 5 |
| Computer Science | 941 | 7 | 7 | 4 |
The primary areas of discussion in TELKOMNIKA Telecommunication Computing Electronics and Control are Artificial intelligence, Control theory, Pattern recognition, Algorithm and Computer vision. Studies on Artificial intelligence discussed in TELKOMNIKA Telecommunication Computing Electronics and Control link to the field of Machine learning. The works on Control theory deal in particular with Control theory.
The journal articles explore disciplines such as Artificial intelligence, Control theory, Computer vision, Power (physics) and Genetic algorithm. The most cited articles address concerns in Artificial intelligence which are intertwined with other disciplines, such as Machine learning and Pattern recognition. While the most cited publications mainly focused on Control theory studies, they also tackled the scientific discipline of interrelated fields such as
The aim of TELKOMNIKA Telecommunication Computing Electronics and Control is to expand the discussion of research in Artificial intelligence, Pattern recognition, Computer network, Algorithm and Deep learning. The Artificial intelligence study featured in TELKOMNIKA Telecommunication Computing Electronics and Control draws connections with the study of Machine learning. Machine learning, which encompasses Naive Bayes classifier and Decision tree, is the main subject of it.
Topics in Pattern recognition were tackled in line with various other fields like Artificial neural network, Image (mathematics), Feature (computer vision) and Biometrics. The studies in Computer network featured incorporate elements of Wireless and Wireless network. Studies on Deep learning discussed in the journal link to the field of Natural language processing.
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 TELKOMNIKA Telecommunication Computing Electronics and Control (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 TELKOMNIKA Telecommunication Computing Electronics and Control (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, 28.51% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.54% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.56% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.72% of all publications and 44.17% 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.
Aadel M. Alatwi;Ahmed Nabih Zaki Rashed;Ismail A. Abd El Aziz
(2021)Mohammed K. Alkhafaji;Hana’a A. Alhamadani;Yasir I. A. Al-Yasir;Ameer L. Saleh
(2020)Hana Abdel-Jabbar;Ahmed Sabri Kadhim;Ameer L. saleh;Yasir I. A. Al-Yasir
(2020)S. M. Salim Reza;Murshedul Arifeen;Sieh Kiong Tiong;Akhteruzzaman
(2020)Thanh-Luan Nguyen;Dinh-Thuan Do
(2021)Exploring online degrees in Computer Science can open doors to some of the highest paid college majors. This makes it a smart choice for students targeting lucrative tech careers.
Affordability is another important factor. Many students seek budget-friendly options, which is why investigating the affordable online colleges can be a game changer. These institutions provide quality education without a heavy financial burden.
Application fees often deter potential applicants, but there are many excellent programs available at online college free application schools, allowing students to apply hassle-free and save on upfront costs.
For those eager to enter the workforce quickly, accelerated career programs offer a faster route to earning a degree and gaining valuable skills. Combined with flexible online formats, they enable students to tailor their education around busy schedules.
