| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 189 | 232 | 339 | 27 |
The journal focuses on Computer graphics, Artificial intelligence, Computer vision, Algorithm and Computer graphics (images). The Visual Computer addresses concerns in Computer graphics which are intertwined with other disciplines, such as Animation, Image (mathematics), Visualization, Computation and Rendering (computer graphics). Animation research is concerned with Computer animation in particular.
The main emphasis of the journal is the research on Rendering (computer graphics), emphasizing the topic of Real-time rendering. The Artificial intelligence study featured in The Visual Computer draws parallels with the field of Pattern recognition. The work on Pattern recognition presented in the journal focuses on Discriminative model in particular.
Topics in Computer vision were tackled in line with various other fields like Process (computing) and Robustness (computer science). The research on Algorithm featured in The Visual Computer combines topics in other fields like Polygon mesh, Mathematical optimization and Surface (mathematics).
The published articles focus largely on the fields of Computer graphics, Artificial intelligence, Computer vision, Computer graphics (images) and Algorithm. The published papers go beyond the discussion of Computer graphics and connect it with closely related disciplines like
The journal tackles a plethora of topics, such as Artificial intelligence, Computer graphics, Pattern recognition, Computer vision and Image (mathematics). Topics like Convolutional neural network, Feature (computer vision), Deep learning, Artificial neural network and Segmentation are tackled as part of the discussions on Artificial intelligence. While Computer graphics is the focus of it, it also provided insights into the studies of Process (computing), Representation (mathematics), Face (geometry), Object (computer science) and Benchmark (computing).
The studies in Pattern recognition featured incorporate elements of Pixel, Feature (machine learning) and Biometrics. The in-depth study on Computer vision also explores topics in the intersecting field of Robustness (computer science). The overlapping concepts between Algorithm and Encryption and Transformation (function) are the key highlights of Image (mathematics) study.
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 The Visual Computer (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 The Visual Computer (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, 4.08% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.87% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.31% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.18% of all publications and 71.63% 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.
It’s important to recognize the contribution of the esteemed authors to The Visual Computer. The authors bring a diversity of backgrounds, academic interests, and specialize in various topics that contribute to the extensive range of research presented in the journal. Some of these authors have extensive experience in education, producing intricate research in classic areas such as computer graphics, while others are exploring the boundaries of new fields such as artificial intelligence.
The authors' abundance of knowledge and experience becomes more evident when diving into their professional backgrounds. Most authors are academics teaching in esteemed universities, while others are researchers affiliated with esteemed research institutions globally. Some have dedicated their careers to studying specific fields, while others lean towards a multidisciplinary approach, exploring the intersections of computer science with various other disciplines.
For instance, if one ponders about the path taken to become such a specialized academic, you might find a roadmap like that of a high school art teacher intriguing. A link to an article on how to become a high school art teacher in Arkansas offers valuable insight into the journey of becoming an educator - giving us a glimpse into the kind of dedication and commitment necessary to contribute to a journal as esteemed as The Visual Computer.
In conclusion, the authors' diverse academic backgrounds, breadth of research interests, and commitment to their respective fields significantly contribute to the richness and diversity of topics covered in The Visual Computer. It is through their contributions, The Visual Computer continues to be at the forefront of research in computer science.
Shengdong Zhang;Fazhi He
(2020)Surbhi Gupta;Kutub Thakur;Munish Kumar
(2021)Yuanyuan Li;Ziyu Wang;Li Yin;Zhiqin Zhu
(2021)Shengdong Zhang;Fazhi He;Wenqi Ren;Jian Yao
(2020)Mohamed Zakariya Talhaoui;Xingyuan Wang;Xingyuan Wang;Mohamed Amine Midoun
(2021)Mohamed Zakariya Talhaoui;Xingyuan Wang;Xingyuan Wang;Abdallah Talhaoui
(2021)Hui-Huang Zhao;Paul L. Rosin;YuKun Lai;Yao-Nan Wang
(2020)Mohammed Y. Abbass;Ki-Chul Kwon;Nam Kim;Safey A. S. Abdelwahab
(2021)Javed Imran;Balasubramanian Raman
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