Computers and Graphics

Top Research Topics at Computers & Graphics?

The main research concerns discussed in the journal are Artificial intelligence, Computer graphics (images), Computer vision, Algorithm and Computer graphics. The Artificial intelligence study featured in the journal draws connections with the study of Pattern recognition. Most of the works presented in Computers & Graphics deals with Computer graphics (images) but it intersects with the subject of Visualization.

While Computers & Graphics focused on Algorithm, it was also able to explore topics like Polygon mesh and Mathematical optimization.

• Artificial intelligence (20.77%)
• Computer graphics (images) (16.56%)
• Computer vision (15.53%)

What are the most cited papers published in the journal?

• There is more to context than location (970 citations)
• Secret image sharing (632 citations)
• Spring: Integrating remote sensing and gis by object-oriented data modelling (564 citations)

Research areas of the most cited articles at Computers & Graphics:

The published papers facilitate discussions on Artificial intelligence, Computer vision, Computer graphics (images), Algorithm and Human–computer interaction. The journal articles address concerns in Artificial intelligence which are intertwined with other disciplines, such as Machine learning and Pattern recognition. The published articles with studies in Computer graphics (images) featured incorporate elements of Visualization and Engineering drawing.

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

• Artificial intelligence
• Operating system
• Quantum mechanics

The previous edition focused in particular on these issues:

Computers & Graphics primarily focuses on research topics in Artificial intelligence, Computer vision, Visualization, Point cloud and Human–computer interaction. Many of the studies tackled connect Artificial intelligence with a similar field of study like Pattern recognition. Research on Pattern recognition addressed in it frequently intersections with the field of Artificial neural network.

Most of the Computer vision studies addressed also intersect with Computer graphics. The studies in Point cloud featured incorporate elements of Point (geometry), Algorithm and Segmentation. The Human–computer interaction study tackling the subject of Virtual reality is the focus of the journal.

The most cited articles from the last journal are:

• Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio (8 citations)
• Single-View 3D reconstruction: A Survey of deep learning methods (6 citations)
• ARtention: A design space for gaze-adaptive user interfaces in augmented reality (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 Computers & Graphics (based on the number of publications) are:

• 晃男 田中 (29 papers) absent at the last edition,
• 孝之 大口 (28 papers) absent at the last edition,
• Clifford A. Reiter (24 papers) absent at the last edition,
• Lúcio Cunha (24 papers) absent at the last edition,
• Bernhard Preim (19 papers) published 5 papers at the last edition, 3 more than 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 Computers & Graphics (based on the number of publications) are:

• Zhejiang University (109 papers) published 3 papers at the last edition, 2 less than at the previous edition,
• Federal University of Paraná (76 papers) published 1 paper at the last edition, 3 less than at the previous edition,
• University of Coimbra (55 papers) absent at the last edition,
• Vienna University of Technology (50 papers) published 4 papers at the last edition, 1 more than at the previous edition,
• Nanyang Technological University (43 papers) published 1 paper at the last edition the same number as 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, 17.91% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.73% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.52% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.15% of all publications and 60.61% 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 Outlook in the Research Field

The field of computers and graphics research offers diverse career opportunities. Many areas have been expanding, notably Artificial Intelligence, Computer Vision, Algorithm, and Human–computer interaction. Scholars of these disciplines often contribute to major breakthroughs and developmental advancements in respective fields. Thus, ensuring their works are acknowledged and implemented widely. However, landing a successful career in these areas requires adequate preparation, learning, and practice. Consider, for instance, the prospect of teaching history. Although it may seem unrelated, the principles of effective knowledge dissemination and comprehension are crucial in both the teaching and research fields. The competencies desired can be introductory or specialized, depending on the specific role targeted. For aspiring scholars planning to break into the education sector, it may be useful to leverage past experiences and knowledge gained during research to deliver better teaching methods. This will foster engagement and improved assimilation among students. In this regard, understanding how to be a history teacher in Georgia {anchor} can provide perspective on the prerequisites and commitments needed in consolidating a teaching career. Especially, as it relates to the integration of technology and education in contemporary learning environments. In all, whether researchers wish to delve into practical fields like teaching, or they choose to delve further in research pursuits, optimal preparation remains a key determinant to the successful navigation of their career paths.