| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 222 | 143 | 146 | 24 |
The aim of the journal is to expand the discussion of research in Computer graphics, Artificial intelligence, Cryptography, Multimedia and Computer vision. The journal addresses concerns in Computer graphics which are intertwined with other disciplines, such as Image processing and Information retrieval, Search engine indexing. The studies on Artificial intelligence discussed can also contribute to research in the domains of Machine learning and Pattern recognition.
Feature extraction is a focus of the presented Pattern recognition works and it dives deep in Feature extraction. Topics in Cryptography were tackled in line with various other fields like Real-time computing, Scheduling (computing), Computer network and Digital watermarking. Multimedia Systems dives deep in exploring the relationship between the study of Computer network and Distributed computing.
Digital watermarking and Watermark are closely related fields of research discussed in the journal. Multimedia Systems connects research in Multimedia with the related topic of World Wide Web.
The published articles focus largely on the fields of Computer graphics, Cryptography, Computer network, Artificial intelligence and Multimedia. The most cited papers address concerns in the field of Computer graphics by exploring it in line with topics in Search engine indexing which intersect with Set (abstract data type) subjects. While the most cited publications focused on Artificial intelligence, they were also able to explore topics like Machine learning, Computer vision and Pattern recognition.
The journal mostly deals with topics like Artificial intelligence, Computer graphics, Cryptography, Pattern recognition and Deep learning. While Artificial intelligence is the focus of it, it also provided insights into the studies of Machine learning and Computer vision. The research on Computer graphics tackled can also make contributions to studies in the areas of Segmentation, Field (computer science), Image (mathematics) and Multimedia.
The journal explores topics in Cryptography which can be helpful for research in disciplines like Frame (networking), Real-time computing, Data mining and Encryption. While work presented in it provided substantial information on Pattern recognition, it also covered topics in Facial recognition system and Convolution. In addition to Pixel research, Multimedia Systems aims to explore topics under Image quality and Block (data storage).
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 Multimedia Systems (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 Multimedia Systems (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, 13.37% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.17% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.64% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.05% of all publications and 69.14% 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.
Once equipped with adequate knowledge and research insights into multimedia systems, a vast range of career prospects open up. Occupations vary from Multimedia Developer to Systems Analyst, and even the realm of education offers numerous opportunities. For instance, becoming an English teacher in Vermont could allow one to integrate research findings of multimedia systems into the educational curriculum, revolutionizing teaching and learning experiences.
Navigating the path to such careers could potentially be challenging. Hence, guidance on pathways like how to become an English teacher in Vermont is crucial to shape a successful career in this interdisciplinary domain.
The role of a multimedia systems researcher isn't limited to exploring Computer graphics, Artificial intelligence, and Cryptography. They play a vital role in understanding and improving how multimedia intersects with diverse disciplines, influencing everything from marketing communications over the World Wide Web to teaching methodologies in a classroom.
Thus, the interdisciplinary nature of multimedia systems makes it a powerful field which carries the potential to drive change across multiple sectors.
Sohail Jabbar;Huw Lloyd;Mohammad Hammoudeh;Bamidele Adebisi
(2021)Loveleen Gaur;Ujwal Bhatia;N Z Jhanjhi;Ghulam Muhammad
(2021)Celestine Iwendi;Gautam Srivastava;Gautam Srivastava;Suleman Khan;Praveen Kumar Reddy Maddikunta
(2020)Jimmy Ming-Tai Wu;Zhongcui Li;Norbert Herencsar;Bay Vo
(2021)Unknown
(2021)Vinayakumar Ravi;Harini Narasimhan;Chinmay Chakraborty;Tuan D. Pham
(2021)Mohamed Hammad;Monagi H. Alkinani;B. B. Gupta;B. B. Gupta;Ahmed A. Abd El-Latif
(2021)For those considering a degree in Computer Science, exploring alternative online options can be a strategic step. Many students seek the easiest degree to get online to balance education with other responsibilities, making it important to assess which fields offer both accessibility and relevance.
If time is a constraint, accelerated paths like an accelerated associate degree online enable quicker entry into tech roles, often serving as a stepping stone toward higher education or entry-level IT jobs. Following this, students might pursue accelerated bachelors programs, which fast-track the completion of a bachelor's degree and enhance career advancement opportunities.
Choosing the right degree also impacts earning potential. Pursuing one of the best bachelor's degrees can significantly influence long-term salary gains, especially in fields related to computer science, software engineering, or data analysis.
Understanding these pathways and their implications helps students tailor their education to career goals, ensuring they obtain meaningful and financially rewarding opportunities in the tech industry.
