| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 287 | 95 | 94 | 20 |
| Electronics and Electrical Engineering | 320 | 20 | 30 | 11 |
Journal of Real-time Image Processing is mainly concerned with subjects like Computer graphics, Artificial intelligence, Pattern recognition (psychology), Computer vision and Algorithm. The studies in Computer graphics featured incorporate elements of Image processing, Multimedia information systems, Real-time computing, Field-programmable gate array and Computation. Specifically, studies on Digital image processing are prevalent in the Image processing works discussed.
In the journal, researchers investigate new studies in Field-programmable gate array to understand Computer hardware and Embedded system as a whole. The journal connects the study in Artificial intelligence with the closely related area of Pattern recognition. The research on Pattern recognition (psychology) featured in Journal of Real-time Image Processing combines topics in other fields like Process (computing), Feature (computer vision), Image (mathematics), Feature extraction and Convolutional neural network.
Computer vision research featured in Journal of Real-time Image Processing incorporates concerns from various other topics such as Computer graphics (images), Speedup and Robustness (computer science). The research on Algorithm discussed in the journal draws on the closely related field of Encoder.
The journal papers tackle a plethora of topics, such as Artificial intelligence, Computer vision, Computer graphics, Pattern recognition (psychology) and Algorithm. The most cited papers explore research in Artificial intelligence alongside concepts in Pattern recognition and other areas of study in Information hiding. The published articles focus on Computer vision but sometimes tackle the closely related topic of Computer graphics (images) which is concerned with Camera auto-calibration.
Journal of Real-time Image Processing mostly deals with topics like Pattern recognition (psychology), Computer graphics, Artificial intelligence, Computer vision and Algorithm. The research on Pattern recognition (psychology) presented in Journal of Real-time Image Processing often intersects with areas of study such as
Topics in Artificial intelligence were tackled in line with various other fields like Machine learning and Pattern recognition. Most of the Computer vision studies addressed also intersect with Robustness (computer science). More specifically, the research on Algorithm in the journal is related to Computational complexity theory.
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 Real-time Image Processing (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 Real-time Image Processing (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, 10.34% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.99% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.95% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.93% of all publications and 68.13% 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.
For individuals inspired by the impactful research featured in the Journal of Real-time Image Processing, it may be useful to understand how to embark on a career in this exciting and rapidly evolving field. A variety of career paths intersect with real-time image processing, including roles in academia, technology companies, government organizations, and self-employment as an independent researcher or consultant.
Generally, a career in real-time image processing starts with a strong foundational education in computer science or a closely related field. Individuals often specialize in topics including computer vision, artificial intelligence, and algorithm development during their advanced study. This may involve obtaining a Master’s or Ph.D. degree, although there are also many opportunities for those with just a Bachelor’s degree, particularly in the tech industry. In addition, prospective researchers may benefit from gaining teaching experience, such as by working as a graduate teaching assistant or by pursuing opportunities like becoming an English teacher, depending on their interests and skills.
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Once equipped with the necessary educational qualifications and skills, researchers can seek out opportunities to contribute to the field. For instance, many begin their careers by submitting their research to reputable journals, such as the Journal of Real-time Image Processing, in order to share their innovative ideas and findings with a broader audience.
Ultimately, a career in real-time image processing can be extremely rewarding for those who have a passion for technology and contributing to the creation of leading-edge technological solutions.
Thippa Reddy Gadekallu;Dharmendra Singh Rajput;M. Praveen Kumar Reddy;Kuruva Lakshmanna
(2021)N. Krishnaraj;Mohamed Elhoseny;M. Thenmozhi;Mahmoud Mohamed Selim
(2020)Sergio Saponara;Abdussalam Elhanashi;Alessio Gagliardi
(2021)Sergio Saponara;Abdussalam Elhanashi;Alessio Gagliardi
(2021)Nebojsa Bacanin;Timea Bezdan;K. Venkatachalam;Fadi Al-Turjman
(2021)Mohamed Zakariya Talhaoui;Xingyuan Wang;Xingyuan Wang;Mohamed Amine Midoun
(2021)Parvathaneni Naga Srinivasu;Akash Kumar Bhoi;Rutvij H. Jhaveri;Gadekallu Thippa Reddy
(2021)Shivendra Shivani;Subhash Chandra Patel;Vinay Arora;Bhisham Sharma
(2021)Asif Ali Shah;Shabir A. Parah;Mamoon Rashid;Mohamed Elhoseny
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