Computer Graphics Forum

Top Research Topics at Computer Graphics Forum?

The journal primarily tackles Artificial intelligence, Computer vision, Computer graphics (images), Algorithm and Rendering (computer graphics). The studies in Artificial intelligence featured incorporate elements of Animation and Pattern recognition. Topics in Computer vision were tackled in line with various other fields like Process (computing) and Shading.

The journal dives deep in exploring the relationship between the study of Computer graphics (images) and Visualization. Visualization works presented in Computer Graphics Forum have a specific focus on Information visualization. Computer Graphics Forum focuses on Algorithm but the discussions also offer insight into other areas such as Polygon mesh, Theoretical computer science and Surface (mathematics).

It holds forums on Rendering (computer graphics) that merges themes from other disciplines such as Ray tracing (graphics) and Software rendering. Topics like 3D computer graphics and Real-time computer graphics are tackled as part of the discussions on Computer graphics.

• Artificial intelligence (34.76%)
• Computer vision (29.76%)
• Computer graphics (images) (23.11%)

What are the most cited papers published in the journal?

• A Survey of General-Purpose Computation on Graphics Hardware (1907 citations)
• Metro: measuring error on simplified surfaces (1234 citations)
• Efficient RANSAC for Point-Cloud Shape Detection (1217 citations)

Research areas of the most cited articles at Computer Graphics Forum:

The journal publications investigate areas of study like Artificial intelligence, Computer vision, Computer graphics (images), Algorithm and Rendering (computer graphics). The most cited articles explore research in Artificial intelligence and the adjacent study of Pattern recognition. The journal papers explore research in Algorithm alongside concepts in Polygon mesh and other areas of study in Computational science and Topology.

What topics the last edition of the journal is best known for?

• Artificial intelligence
• Operating system
• Statistics

The previous edition focused in particular on these issues:

The main research concerns discussed in Computer Graphics Forum are Artificial intelligence, Computing Methodologies, Computer vision, Rendering (computer graphics) and Algorithm. The studies on Artificial intelligence discussed can also contribute to research in the domains of Machine learning and Pattern recognition. Some problems in Computing Methodologies that were presented in Computer Graphics Forum overlapped with concepts under Animation, Computer graphics, Computational science, Theory of computation and Shape analysis (digital geometry).

The Computational science study featured in it draws connections with the study of Computational geometry. It tackles topics on Rendering (computer graphics), which can potentially contribute to the wider field of Computer graphics (images). The journal features studies on Algorithm, including topics such as Computation.

The most cited articles from the last journal are:

• The State of the Art of Spatial Interfaces for 3D Visualization (7 citations)
• Deep Detail Enhancement for Any Garment (6 citations)
• Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis (6 citations)

Papers citation over time

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.

Top authors and change over time

The top authors publishing in Computer Graphics Forum (based on the number of publications) are:

• Hans-Peter Seidel (89 papers) published 1 paper at the last edition the same number as at the previous edition,
• Markus Gross (55 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Leif Kobbelt (43 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• Elmar Eisemann (33 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• Daniel Cohen-Or (32 papers) published 1 paper at the last edition the same number as at the previous edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Computer Graphics Forum (based on the number of publications) are:

• Zhejiang University (98 papers) published 3 papers at the last edition, 2 less than at the previous edition,
• French Institute for Research in Computer Science and Automation (95 papers) published 5 papers at the last edition the same number as at the previous edition,
• ETH Zurich (95 papers) published 7 papers at the last edition, 3 less than at the previous edition,
• Max Planck Society (90 papers) published 3 papers at the last edition, 1 less than at the previous edition,
• Vienna University of Technology (89 papers) published 3 papers at the last edition, 8 less than at the previous edition.

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.

Publication chance based on affiliation

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, 5.61% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.49% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.78% of all publications and 49.73% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities in Computer Graphics Research

Having examined the research topics, most-cited papers, and author affiliations pin Computer Graphics Forum, it is evident that this field offers a wealth of career opportunities. These can range from highly specialized roles such as Artificial Intelligence Engineer and Computer Vision Specialist to broader positions like Information Visualization Analyst and Algorithm Researcher.

Most of these careers require an in-depth knowledge of computer science and mathematics, and often a specialized degree or certificate. For instance, a role in developing educational tools for children with special needs may require a special education credential in Indiana online.

With technological advancements and increasing demand for computer graphics applications in diverse sectors, professionals in this field often enjoy competitive salaries and robust job growth. By contributing to the Computer Graphics Forum, aspiring professionals have the opportunity to make significant advancements in this dynamic field.