| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 566 | 35 | 66 | 10 |
Journal of Visualization generally zeroes in on subjects such as Mechanics, Visualization, Vortex, Optics and Flow visualization. Turbulence, Reynolds number, Jet (fluid), Flow (psychology) and Particle image velocimetry are some of the study areas of Mechanics discussed. Journal of Visualization connects research in Visualization with the related topic of Computer graphics (images).
The research on Vortex tackled can also make contributions to studies in the areas of Flow (mathematics), Wake and Classical mechanics. Laser is a focus of the presented Optics works and it dives deep in Laser. The study on Artificial intelligence presented in Journal of Visualization intersects with subjects under the field of Pattern recognition.
The journal publications cover a variety of subjects, including Mechanics, Visualization, Optics, Flow visualization and Turbulence. The studies tackled in the most cited articles, which mainly focus on Mechanics, apply to Classical mechanics as well. Computational fluid dynamics, Computer graphics (images) and Data science are some topics wherein Visualization research discussed in the published articles has an impact.
Journal of Visualization focuses largely on the fields of Visualization, Mechanics, Artificial intelligence, Visual analytics and Data mining. The work on Visualization presented in the journal focuses on Data visualization in particular. In the Mechanics research discussed, Vortex, Flow (psychology), Particle image velocimetry, Boundary layer and Jet (fluid) are all tackled.
The work on Particle image velocimetry tackled in the journal brings together disciplines like Wind tunnel and Reynolds number. Flow (mathematics) and Drag are some topics wherein Jet (fluid) research discussed in it have an impact. In addition to Artificial intelligence research, it aims to explore topics under Domain (software engineering), Machine learning and Pattern recognition.
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 Visualization (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 Visualization (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, 15.65% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 34.02% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.37% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.22% of all publications and 46.39% 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.
Given the overlap between fields such as Mechanics, Visualization, Artificial Intelligence, and Optics presented in the Journal of Visualization, potential researchers or professionals might wonder what career pathways exist that engage with these multidisciplinary domains. One example of such a profession is being a history teacher, where the effective incorporation of visualization techniques can significantly augment the learning experience.
Teaching history is no longer constrained to traditional methods. Modern pedagogical approaches emphasize incorporating visualization for better understanding and engagement. History teachers now leverage software tools or even Artificial Intelligence to create compelling representations of historical events. Complicated topics can become accessible when unfolding through innovative visualization or mechanics. Moreover, with the continuing advancements in educational technology, teachers now have a wider arsenal of techniques at their disposal to ensure students' deep understanding of historical events.
If you are interested in exploring this career path, you can refer to our comprehensive guide on how to be a history teacher in Georgia. This guide provides detailed information on the qualifications, skills, and pathways to becoming a history teacher. More importantly, it discusses how the modern-day teacher leverages the advancements in fields like visualization and artificial intelligence, making the teaching-learning process more interactive and effective.
Undoubtedly, the incorporation of such modern techniques in teaching is transforming education. Thus, teachers who are equipped with understanding and skills to employ these tools in their classrooms would have an edge in the evolving educational landscape.
Shichao Jia;Peiwen Lin;Zeyu Li;Jiawan Zhang
(2020)Noptanit Chotisarn;Leonel Merino;Xu Zheng;Supaporn Lonapalawong
(2020)Tan Tang;Junxiu Tang;Jiayi Hong;Lingyun Yu
(2020)Hong Guo;ShanChen Zou;YiLin Xu;Han Yang
(2021)Ji Lan;Jiachen Wang;Xinhuan Shu;Zheng Zhou
(2021)Xinhuan Shu;Jiang Wu;Xinke Wu;Hongye Liang
(2021)Jiachen Wang;Xiwen Cai;Jiajie Su;Yu Liao
(2021)Michael Burch;Elisabeth Melby
(2020)Liyan Liu;Hongxin Zhang;Jiaxin Liu;Shangching Liu
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