| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 575 | 27 | 31 | 10 |
Egyptian Informatics Journal primarily focuses on research topics in Artificial intelligence, Computer network, Pattern recognition, Algorithm and Distributed computing. Egyptian Informatics Journal addresses concerns in Artificial intelligence which are intertwined with other disciplines, such as Machine learning, Computer vision and Natural language processing. Machine learning research presented is mostly focused on the subject of Feature selection.
Egyptian Informatics Journal aims to address concerns in Computer network, specifically in the areas of Wireless sensor network, Mobile ad hoc network, Network packet, Dynamic Source Routing and Node (networking). The research on Wireless sensor network featured in the journal combines topics in other fields like Key distribution in wireless sensor networks, Energy (signal processing) and Real-time computing. The work on Pattern recognition tackled in Egyptian Informatics Journal brings together disciplines like Artificial neural network and Fuzzy logic.
The journal features studies on Algorithm, including topics such as Particle swarm optimization. The research on Distributed computing tackled can also make contributions to studies in the areas of Scheduling (computing), Cloud computing, Wireless Routing Protocol and Optimized Link State Routing Protocol. It focused on Cluster analysis research but expanded to cover Data mining.
The journal publications focus on Artificial intelligence, Machine learning, Pattern recognition, Wireless sensor network and Data mining. The works on Artificial intelligence tackled in the most cited articles bring together disciplines like Raw data and Filter (signal processing), Computer vision. Research in Wireless sensor network discussed in the most cited articles is concerned with the study of Computer network as a whole.
The aim of Egyptian Informatics Journal is to expand the discussion of research in Artificial intelligence, Computer network, Key (cryptography), Wireless sensor network and Natural language processing. While it focused on Artificial intelligence, it was also able to explore topics like Machine learning and Pattern recognition. The overlapping concepts between Cluster analysis and Image processing are the key highlights of Pattern recognition study.
The Quality of service, Authentication, Bandwidth (computing) and Packet loss studies presented in it fall under the field of Computer network, but it also has connections to other fields such as Energy consumption. It tackles studies in Distributed computing and the interrelated subject of Key distribution in wireless sensor networks and Data aggregator to gain insights into Key (cryptography). Topics in Wireless sensor network explored in it were investigated in conjunction with research in Energy (signal processing) and Big data.
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 Egyptian Informatics Journal (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 Egyptian Informatics Journal (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, 6.56% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.82% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.51% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.04% of all publications and 52.63% 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 those inspired by the research fields highlighted in the Egyptian Informatics Journal such as artificial intelligence, machine learning, computer network, and distributed computing, there are many exciting career opportunities to pursue. One example is becoming a teacher in the field of elementary informatics. This profession allows the sharing and proliferation of knowledge in these essential and burgeoning fields. To become an elementary school informatics teacher, candidates typically need a bachelor's degree in informatics or a related field and a state-issued certification or license. The role involves developing engaging lesson plans and instructional materials, organizing and maintaining a system for accurate and complete record-keeping and pupil evaluation, and providing guidance to students in their academic growth. Additionally, the average salary of an elementary informatics teacher can vary depending on education, certifications, additional skills, and the number of years spent in the profession. You can explore more detailed salary information by reviewing the comprehensive guide to becoming an elementary school informatics teacher in Illinois {anchor}. This resource should serve as a helpful starting point for those considering a journey into this fulfilling and critical role in the field of informatics. Always remember, those who educate the next generation shape the future of research and innovation.
Chnoor M. Rahman;Tarik A. Rashid
(2021)Dina Tarek;Dina Tarek;Abderrahim Benslimane;M. Darwish;Amira M. Kotb
(2020)Kashif Naseer Qureshi;Muhammad Arslan Saleem Sandila;Ibrahim Tariq Javed;Tiziana Margaria
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