| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 1003 | 7 | 12 | 3 |
International Journal of Biometrics investigates studies in Artificial intelligence, Biometrics, Pattern recognition, Computer vision and Face (geometry). As a part of International Journal of Biometrics, discussions in Artificial intelligence involve topics like Facial recognition system, Feature extraction, Feature (computer vision), Image (mathematics) and Feature vector. Most of the works presented in the journal deals with Facial recognition system but it intersects with the subject of Feature (machine learning).
International Journal of Biometrics investigates Feature extraction research which frequently intersects with Word error rate. International Journal of Biometrics explores the study of Biometrics to improve our understanding of the broader topic of Computer security. While it focused on Pattern recognition, it was also able to explore topics like Artificial neural network and Histogram, Local binary patterns.
Iris recognition, Pixel, Segmentation, Region of interest and Fingerprint are all subfields of Computer vision research that were featured in the journal. International Journal of Biometrics focuses on Face (geometry) as well as the interrelated topic of Algorithm. Minutiae is a major topic of Fingerprint (computing) research presented in the journal.
The journal papers focus largely on the fields of Biometrics, Artificial intelligence, Pattern recognition, Computer vision and Identification (information). The journal papers explore topics in Biometrics which can be helpful for research in disciplines like Data science, Data mining and Authentication. The journal articles hold forums on Artificial intelligence that merge themes from other disciplines such as State (computer science) and Focus (computing).
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 Biometrics (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 Biometrics (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 2022 edition, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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.
One interesting area that this article has not explored is the application of biometrics in the field of education. Biometrics has shown the potential to revolutionize the education sector in various ways, most notably in the area of attendance tracking and management. Traditionally, schools and colleges handle attendance manually, which can be time-consuming and susceptible to errors or manipulation. With the use of biometrics technology, such as fingerprint or facial recognition, schools can accurately and efficiently monitor attendance, ensuring that time is focused on educating students. Furthermore, biometric technology can be implemented to enhance the security in educational institutions. This can be manifested in terms of physical access where only authorized individuals such as students and staff can gain access to the premises. It can also extend to digital access where students can log in to their personal accounts or access digital educational resources securely. Many schools and educational institutions are acknowledging the benefits of such technology and seeking ways to implement it in their systems. However, it's important to understand the requirements and nuances of integrating biometrics in the education sector. Before diving into it, institutions need to comprehend laws and regulations around data privacy, as well as the technical demands of such a system. To gain an in-depth understanding of using biometric technology in an educational setting, it would be beneficial to research on the requirements and process. A great resource to look into might be "Requirements to become an english teacher in Oklahoma", where the adoption of technology in an educational institution is comprehensively discussed. By integrating biometrics into educational systems, the sector can benefit from enhanced efficiency and security bolstering the overall learning experience for students and teaching experience for educators. However, the move should be done with careful consideration to privacy laws and technical feasibility.
Hend Basly;Wael Ouarda;Fatma Ezahra Sayadi;Bouraoui Ouni
(2021)Mohanad Abukmeil;Gian Luca Marcialis
(2022)Ahmed Bouridane;Rafik Djemili;Ali Khider;Richard Jiang
(2022)For students exploring Computer Science in the USA, understanding the variety of educational paths is crucial. Many learners consider pursuing advanced degrees, but time and cost can often be barriers. Interestingly, some of the easiest masters degrees could offer a quicker and less stressful way to enhance your knowledge and career prospects in tech fields.
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Additionally, short-term commitments like online certificate programs can boost employability by focusing on in-demand skills, often leading to well-paying jobs in the technology sector. Combining these pathways wisely can create a flexible and cost-effective educational journey tailored to individual career goals.
