1300-0632
Published by: The Scientific and Technical Research Council of Turkey
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 423 | 15 | 23 | 6 |
| Computer Science | 763 | 19 | 22 | 6 |
Turkish Journal of Electrical Engineering and Computer Sciences mainly tackles studies in Control theory, Artificial intelligence, Electronic engineering, Algorithm and Pattern recognition. The journal facilitates discussions on Control theory that incorporate concepts from other fields like Control engineering and Power (physics), Electric power system. The Electric power system study featured in it draws connections with the study of Mathematical optimization.
Turkish Journal of Electrical Engineering and Computer Sciences explores issues in Artificial intelligence which can be linked to other research areas like Machine learning and Computer vision. Electronic engineering and Electrical engineering are closely related fields of research discussed in the journal.
Control theory, Artificial intelligence, Mathematical optimization, Artificial neural network and Electronic engineering are the main subjects of interest in the journal papers. The journal papers facilitate discussions on Control theory that incorporate concepts from other fields like Control engineering and Voltage. Issues in Artificial intelligence were discussed in the most cited papers, taking into consideration concepts from other disciplines like Machine learning, Computer vision and Pattern recognition.
Turkish Journal of Electrical Engineering and Computer Sciences facilitates discussions on Artificial intelligence, Control theory, Deep learning, Pattern recognition and Machine learning. The Artificial intelligence works featured in Turkish Journal of Electrical Engineering and Computer Sciences incorporate elements from Computer vision and Natural language processing. Turkish Journal of Electrical Engineering and Computer Sciences explores topics in Control theory which can be helpful for research in disciplines like Control (management), Order (business) and Current (fluid).
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 Turkish Journal of Electrical Engineering and Computer Sciences (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 Turkish Journal of Electrical Engineering and Computer Sciences (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, 98.75% 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 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 100.00% 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.
Olusola Oluwakemi Abayomi-Alli;Robertas Damaševičius;Sanjay Misra;Rytis Maskeliūnas
(2021)Şaban Öztürk;Adi Alhudhaif;Kemal Polat
(2021)Suzana Pil Ramli;Hazlie Mokhlis;Wei Ru Wong;Munir Azam Muhammad
(2021)Mansur Khasanov;Salah Kamel;Ayman Awad;Francisco Jurado
(2021)Muharrem Tolga Sakalli;Sedat Akleylek;Kemal Akkanat;Vincent Rijmen
(2020)Mehmet Alp Ilgaz;Andrej Lavric;Temıtope Odedeyi;Izzat Darwazeh
(2020)Pursuing a degree in computer science often opens doors to several related fields that complement this discipline. For those interested in mechanical systems, exploring the cheapest online master's mechanical engineering programs can be a cost-effective way to advance your expertise.
Physics also shares a strong foundation with computer science, especially in areas like computational modeling and quantum computing. Many students wonder, can you get a physics degree online? The answer is yes, with reputable programs offering flexible options that fit different learning styles.
Data science continues to grow as a key career pathway tied to computer science. Understanding the data science learning path helps students grasp the skills and courses necessary to thrive in this data-driven world.
Finally, electrical engineering overlaps with computer hardware and embedded systems. Selecting among the accredited online electrical engineering programs ensures quality education while offering flexibility for working professionals.
