| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 968 | 14 | 14 | 3 |
International Journal of Image and Graphics primarily tackles Artificial intelligence, Computer vision, Pattern recognition, Image (mathematics) and Algorithm. It facilitated presentations on Artificial intelligence research, particularly Segmentation, Image processing, Feature (computer vision), Image segmentation and Pixel. The Segmentation works, particularly on Scale-space segmentation are tackled in the journal.
While Computer vision is the focus of International Journal of Image and Graphics, it also provided insights into the studies of Computer graphics (images) and Robustness (computer science). It centers on topics in Computer graphics (images), with a focus on Rendering (computer graphics). Some problems in Pattern recognition that were presented in the journal overlapped with concepts under Facial recognition system, Face (geometry) and Biometrics.
The Algorithm study tackled is a key component of adjacent topics in the area of Mathematical optimization.
The most cited articles are organized to reinforce research efforts on Artificial intelligence, Computer vision, Pattern recognition, Segmentation and Data mining. The published articles in Face (geometry), Pixel and 3D reconstruction fall within the purview of Computer vision but it also intertwines with topics in Process (computing). Issues in Pattern recognition were discussed in the published articles, taking into consideration concepts from other disciplines like Real image, Machine learning and Representation (mathematics).
The journal aims to foster the development of research in Artificial intelligence, Computer vision, Pattern recognition, Image (mathematics) and Segmentation. It addresses concerns in the field of Artificial intelligence by exploring it in line with topics in Identification (information) which intersect with Biometrics subjects. International Journal of Image and Graphics facilitates discussions on Pattern recognition that incorporate concepts from other fields like Image processing, Artificial neural network, Feature (computer vision) and Thresholding.
The Image (mathematics) works featured in International Journal of Image and Graphics incorporate elements from Sparse approximation and Human–computer interaction. Segmentation research presented in International Journal of Image and Graphics encompasses a variety of subjects, including Brain mri and Mr images. The featured Image segmentation studies mainly concentrate on Magnetic resonance imaging but also cover areas of interest in Medical imaging.
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 International Journal of Image and Graphics (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 International Journal of Image and Graphics (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, 12.62% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 1.11% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.22% of all publications and 75.56% 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.
Honing expertise in topics such as Artificial Intelligence, Computer Vision, Pattern Recognition, and related topics through the International Journal of Image and Graphics is only half of the equation. The other half is knowing how to apply this knowledge in a practical and professional setting. Many of the topics discussed in the context of image and graphics, while highly technical, have practical applications in various fields, including education. For instance, if you're looking to take your skills in the English language and blend them with technology, becoming an English teacher in the era of technology might be a worthwhile career choice. By integrating knowledge from image and graphics with English teaching methodologies, you can revolutionize the way language learning is delivered and perceived. If you are interested in learning more about how to transition to this rewarding career, you can read our detailed guide on how to be an English teacher in Virginia. Consider this as a stepping stone towards merging your passion for technology and education, and make a difference in the field of education. Nevertheless, career possibilities are wide-ranging and not limited just to education. Whether one is interested in exploring opportunities in academia, research, tech firms, or even starting their own company, a solid understanding of image and graphics can serve as a strong foundation. Hence, it's always advantageous to stay abreast with the latest trends in these fields, and International Journal of Image and Graphics serves as an excellent resource for this purpose.
Moolchand Sharma;Bhanu Jain;Chetan Kargeti;Vinayak Gupta
(2020)Gaber Hassan;Khalid M. Hosny;R. M. Farouk;Ahmed M. Alzohairy
(2021)Priya Saha;Debotosh Bhattacharjee;Barin Kumar De;Mita Nasipuri
(2021)Meriem Gagaoua;Hamza Ghilas;Abdelkamel Tari;Mohamed Cheriet
(2021)Geng Zhang;Qi Zhu;Jing Yang;Ruting Xu
(2021)Gunnam Suryanarayana;Kandala N. V. P. S. Rajesh;Jie Yang
(2021)Kyle Brown;Nikolaos Bourbakis
(2021)Hamza Ghilas;Meriem Gagaoua;Abdelkamel Tari;Mohamed Cheriet
(2021)For students interested in studying Computer Science in the USA, there are numerous related online degree options that can open doors to dynamic career paths. Pursuing an online engineering degree can complement a computer science background, offering versatile skills applicable in tech development and innovation. Explore engineering schools online to find affordable programs that balance both theory and practical application.
Another exciting pathway is the field of video game design, which blends creativity with technical proficiency. A specialized game design degree can prepare students for roles in game development, programming, and interactive media production.
Cybersecurity remains a critical area as demand for protecting digital assets grows. Earning a master's degree in cybersecurity online equips professionals with advanced skills to combat cyber threats and enhance organizational security.
Data science is another rapidly expanding domain linked closely with computer science. Obtaining one of the best masters in data science online prepares students to analyze complex data sets and drive decision-making in diverse industries.
