1047-3203
Published by: Elsevier
https://www.journals.elsevier.com/journal-of-visual-communication-and-image-representation
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 234 | 177 | 250 | 23 |
The journal focuses largely on the fields of Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Image (mathematics). It focused on Artificial intelligence research but expanded to cover Machine learning. As a part of it, discussions in Computer vision involve topics like Image processing, Video tracking, Image quality, Object (computer science) and Histogram.
The journal investigates Pattern recognition research which frequently intersects with Image retrieval. While the journal focused on Algorithm, it was also able to explore topics like Coding (social sciences), Mathematical optimization, Theoretical computer science and Discrete cosine transform. Image segmentation and Scale-space segmentation are all aspects of Segmentation discussed in it.
The published papers mostly deal with topics like Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Pixel. The journal articles encompass presentations on Artificial intelligence, specifically Image (mathematics), Segmentation, Image retrieval, Feature (computer vision) and Image processing. In addition to Algorithm research, the journal articles aim to explore topics under Image quality, Theoretical computer science, Discrete cosine transform, Embedding and Mathematical optimization.
The foci of Journal of Visual Communication and Image Representation are Artificial intelligence, Pattern recognition, Computer vision, Image (mathematics) and Feature (computer vision). The research on Pattern recognition featured in Journal of Visual Communication and Image Representation combines topics in other fields like Salient and Face (geometry). The RGB color model, Object (computer science) and Object detection studies presented in it fall under the field of Computer vision, but it also has connections to other fields such as Process (computing).
Image (mathematics) research featured in it incorporates concerns from various other topics such as Algorithm, Encryption and Embedding. The journal tackles studies in Coding (social sciences) and the interrelated subject of Encoding (memory) to gain insights into Algorithm. The Feature (computer vision) works featured in it incorporate elements from Representation (mathematics) and Similarity (geometry).
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 Visual Communication and Image Representation (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 Visual Communication and Image Representation (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, 4.57% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.66% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.13% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.05% of all publications and 52.15% 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.
The impressive development in the fields of Artificial Intelligence, Computer vision, and Image segmentation has opened up numerous rewarding career opportunities. One such promising career path is becoming a preschool teacher assistant, particularly in states like Pennsylvania. This role can lead a fruitful way into working with innovations and advancements in graphics and visual representation and incorporating them into academic apparatus.
This position involves assisting students in learning the basics of computer vision, image processing, artificial intelligence, and other relevant topics. In terms of qualifications, professionals in these roles typically have a strong background in computer science and are passionate about teaching and learning innovative technologies. They must be versed in creating and utilizing visual aids to better enhance children's understanding of complex topics. Additionally, undergoing specific certification programs can further enhance their proficiency in this field.
More on the specific teacher assistant certificate requirements in Pennsylvania can be found on our website. Progressing in this line of work could potentially lead to a fulfilling career in academia or industry research within the sphere of visual communication and image representation.
Lang Nie;Chunyu Lin;Kang Liao;Meiqin Liu
(2020)Sergio Montazzolli Silva;Claudio Rosito Jung
(2020)Liangchen Song;Gang Yu;Junsong Yuan;Zicheng Liu
(2021)Unknown
(2022)Wenpeng Lu;Xu Zhang;Huimin Lu;Fangfang Li
(2020)Yueru Chen;C.-C. Jay Kuo
(2020)Munish Kumar;Navdeep Singh;Ravinder Kumar;Shubham Goel
(2021)Exploring online education options can be a strategic choice for students pursuing a career in Computer Science. Many reputable institutions offer flexible learning opportunities, such as those recognized among the best accredited self-paced online colleges. These programs allow students to balance studies with other commitments while advancing their knowledge at their own speed.
Cost is often a significant factor when selecting a program. Prospective students should consider the cheapest online masters options that maintain high academic standards. Affordability combined with quality education can lead to better career prospects without overwhelming debt.
For those new to the field, pursuing an associate's degree in Computer Science or related disciplines may provide a foundational understanding and quicker entry into tech roles. These programs are particularly suitable for learners seeking a practical, career-focused education.
Finally, credibility matters. Choosing a program from among the most respected online university can enhance your resume and open doors to advanced career opportunities.
