| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 244 | 59 | 86 | 23 |
| Electronics and Electrical Engineering | 301 | 25 | 50 | 12 |
The journal investigates studies in Artificial intelligence, Computer network, Electronic engineering, Algorithm and Pattern recognition. Issues in Artificial intelligence were discussed, taking into consideration concepts from other disciplines like Machine learning and Computer vision. Computer network research presented in it encompasses a variety of subjects, including Wireless, Scheme (programming language) and Communication channel.
Electrical engineering, Antenna (radio) and Orthogonal frequency-division multiplexing are some topics wherein Electronic engineering research discussed in the journal have an impact. It connects research in Orthogonal frequency-division multiplexing with the related topic of Reduction (complexity).
The most cited publications primarily tackle Telecommunications, Computer network, 5G, Computer security and Convolutional neural network. The journal publications facilitate discussions in Quality of service, Frequency band and Telecommunications network as part of the larger field of Telecommunications, however, they also tackle fields such as Wide area. The study of Quality of service in the journal articles encompasses disciplines such as Wireless, as well as fields such as Algorithm and Particle swarm optimization, all of which overlap with one another.
The main points discussed in the journal deals with Artificial intelligence, Algorithm, Pattern recognition, Computer network and Machine learning. The study on Artificial intelligence presented is investigated in conjunction with research in Computer vision. The journal explores topics in Algorithm which can be helpful for research in disciplines like Bit error rate and Communication channel.
Classifier (linguistics) is a key component of Pattern recognition research discussed in it. Computer network research featured in the journal incorporates concerns from various other topics such as Cognitive radio, Wireless and Scheme (programming language). Studies on Convolutional neural network discussed in the journal link to the field of Transfer of learning.
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 ICT Express (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 ICT Express (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, 12.78% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.55% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.90% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.10% of all publications and 53.45% 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.
Artificial intelligence and Computer Vision, as highlighted in the ICT Express journal, not only play a significant role in technological advancements and communication improvements but also have a profound impact on the educational sector. These transformative technologies can be utilized in a variety of innovative ways to enhance teaching methodologies and learning experiences. AI-powered edtech solutions are increasingly being adopted in classrooms worldwide. They can provide personalized learning experiences by adapting to each student's unique learning style, pace, and interests. Further, AI can help teachers in grading assignments, tracking student progress, and identifying at-risk students early on. Likewise, Computer Vision, a subset of AI, can be highly instrumental in the field of remote learning. By interpreting and understanding visual data, it can monitor student engagement during online classes and facilitate interactive learning with augmented reality (AR) and virtual reality (VR). Besides, AI and Computer Vision also open new opportunities in the field like creating online tutors, developing adaptive learning software, and designing intelligent classroom technology. If you aim to leverage these technologies' potential and aspire to innovate in the education field, starting your educational journey in this direction can be greatly beneficial. For instance, here is a guide on {how to become a teacher in New Hampshire} that can help kickstart your journey in education with an emphasis on integrating technology into the classroom. Therefore, in the future editions of ICT Express, it would be worthwhile to delve deeper into the educational applications of artificial intelligence and Computer Vision. Such insights can foster the development of more effective and inclusive educational tools, making education more accessible and enriching for all.
Yushan Siriwardhana;Gürkan Gür;Mika Ylianttila;Madhusanka Liyanage;Madhusanka Liyanage
(2021)Julien Polge;Jérémy Robert;Yves Le Traon
(2021)Unknown
(2022)Amir Farzad;T. Aaron Gulliver
(2020)Madhusanka Liyanage;Madhusanka Liyanage;Pawani Porambage;Aaron Yi Ding;Anshuman Kalla
(2021)For students exploring Computer Science, related fields like engineering, physics, and data science offer alternative or complementary career options. If affordability is a concern, consider pursuing the cheapest mechanical engineering degree online. This can provide strong analytical and problem-solving skills applicable to tech-driven roles.
Physics also shares many foundational concepts with Computer Science. An online physics bachelor's degree can open doors to scientific research and technology development careers that value computational expertise.
Data Science, closely tied to Computer Science, offers promising career prospects in analytics and AI. To enter this booming field without high costs, students should explore the cheapest data science degree programs available in the USA.
Finally, for those drawn to hardware and systems design, an online electrical engineering career outcomes report highlights strong job placement and earning potential in this tech sector.
Choosing any of these related online degrees can broaden your skill set and career opportunities in the ever-evolving tech landscape.
