| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 362 | 57 | 74 | 16 |
The primary areas of discussion in International Journal of Imaging Systems and Technology are Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Segmentation. The research on Artificial intelligence discussed in International Journal of Imaging Systems and Technology draws on the closely related field of Machine learning. Many of the studies tackled connect Computer vision with a similar field of study like Computer graphics (images).
While the journal focused on Pattern recognition, it was also able to explore topics like Artificial neural network and Magnetic resonance imaging. Algorithm research featured in the journal incorporates concerns from various other topics such as Mathematical optimization and Iterative reconstruction. Scale-space segmentation is the primary subject of Segmentation works presented in it.
The journal articles generally zeroe in on subjects such as Artificial intelligence, Computer vision, Algorithm, Pattern recognition and Pixel. Aside from discussions in Artificial intelligence, the journal publications also deal with the subject of Machine learning which intersects with Statistical hypothesis testing disciplines. While work presented in the most cited publications provide substantial information on Pattern recognition, it also covers topics in Image registration and Curvature.
The foci of the journal are Artificial intelligence, Pattern recognition, Deep learning, Convolutional neural network and Segmentation. The research on Artificial intelligence featured in the journal combines topics in other fields like Machine learning, Magnetic resonance imaging and Computer vision. Issues in Pattern recognition were discussed, taking into consideration concepts from other disciplines like Breast cancer and Random forest.
International Journal of Imaging Systems and Technology explores topics in Deep learning which can be helpful for research in disciplines like Transfer of learning and Brain tumor.
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 Imaging Systems and Technology (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 Imaging Systems and Technology (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, 7.96% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.49% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.78% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.57% of all publications and 82.16% 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.
This field of imaging systems and technology is an increasingly important area of study in the world of research and academia, but also provides fascinating career opportunities for those interested in applying the theoretical knowledge in practical settings. From private businesses to public institutions, the demand for professionals with expertise in artificial intelligence, computer vision, pattern recognition, algorithms, and segmentation continues to grow. Potential career paths include private school teaching where the practitioner imparts knowledge of imaging systems and technology to students. For those interested in teaching careers, understanding the specific private school teacher requirements in Indiana will provide a comprehensive view of the necessary qualifications, training, and licensing needs. Besides teaching, career opportunities extend to other sectors as well. Professions like computer vision engineer, pattern recognition engineer or an algorithm specialist are all career paths that can be pursued with a background in imaging systems and technology. In terms of skills required, alongside the technical knowledge of the area, critical thinking, problem-solving skills, good communication and presentation skills are crucial for a successful career in this field. Constant learning and adaptability is also prized as technology and methods in this field are always evolving. Ultimately, a career in imaging systems and technology makes for an exciting pathway where the knowledge gained can be leveraged to create impactful real-world solutions. This isn't just a growing field but an arena where innovative minds can truly make their mark.
Tongxue Zhou;Stéphane Canu;Su Ruan
(2021)An Hu;Navid Razmjooy
(2021)Safa Ben Atitallah;Maha Driss;Wadii Boulila;Anis Koubaa
(2021)Zhiqiang Guo;Lina Xu;Yujuan Si;Navid Razmjooy
(2021)Vicnesh Jahmunah;Vidya K. Sudarshan;Shu Lih Oh;Raj Gururajan
(2021)Tongxue Zhou;Tongxue Zhou;Tongxue Zhou;Stéphane Canu;Stéphane Canu;Su Ruan;Su Ruan
(2021)Hanli Zhao;Xiaqing Qiu;Wanglong Lu;Hui Huang
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