| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 395 | 15 | 17 | 7 |
The journal focuses largely on the fields of Artificial intelligence, Computer vision, Optics, Optoelectronics and Computer graphics (images). Artificial intelligence research presented in the journal encompasses a variety of subjects, including Perception and Pattern recognition. Stereoscopy and Contrast (vision) are among the areas of Computer vision tackled.
The journal concentrates on Optics topics that focus on Liquid-crystal display and Liquid crystal. Topics in Optoelectronics explored in it were investigated in conjunction with research in Layer (electronics), OLED and Electroluminescence. Displays centers on topics in Computer graphics (images), with a focus on Graphics.
The most cited articles mainly deal with areas of study such as Artificial intelligence, Computer vision, Optics, Liquid-crystal display and Stereoscopy. While the most cited publications focused on Computer vision, they were also able to explore topics like Accommodation, Visual search, Computer graphics (images) and Eye movement. The published articles address concerns in the field of Optics by exploring it in line with topics in Optoelectronics which intersect with Indium tin oxide, Electroluminescent display and Electroluminescence subjects.
The main research concerns discussed in the journal are Artificial intelligence, Computer vision, Pattern recognition, Object (computer science) and Human–computer interaction. Image (mathematics), Deep learning, Convolutional neural network, Feature (computer vision) and Pixel are all subfields of Artificial intelligence research that were featured in Displays. The journal explores research in Computer vision and the adjacent study of Scale (ratio).
While the primary focus in Displays is Pattern recognition, it also dissects topics surrounding Image quality and Support vector machine as a whole. The research on Object (computer science) featured in the journal combines topics in other fields like Process (computing), Computation and Alphanumeric. The research on Human–computer interaction tackled can also make contributions to studies in the areas of Visualization and Task (project management).
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 Displays (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 Displays (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, 10.13% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.90% were posted by at least one author from the top 10 institutions publishing in the journal. Another 2.82% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.54% of all publications and 57.75% 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.
Ru Huang;Lei Ma;Jianhua He;Xiaoli Chu
(2021)Peng Ye;Xiang Wu;Dingguo Gao;Shaozhi Deng
(2020)Exploring a Computer Science degree can open doors to various specialized fields. For those interested in cutting-edge technology, an applied artificial intelligence degree offers a focused path toward AI development and innovation. Graduates can pursue careers in machine learning, robotics, or data analysis.
If your interests align more with sustainability and science, combining your technology skills with environmental knowledge is a smart move. Programs like an environmental engineering degree online bridge computer science and engineering to address ecological challenges through innovative solutions.
Additionally, an jobs for environmental science majors pathway expands career options, allowing you to work on sustainability projects that benefit society while leveraging your technical skills.
For students eager to accelerate their education and enter the workforce faster, programs like the accelerated cs degree provide a streamlined route to gaining essential skills and qualifications without compromising quality.
