| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 103 | 231 | 248 | 42 |
| Electronics and Electrical Engineering | 118 | 99 | 132 | 27 |
The journal focuses largely on the fields of Computer network, Embedded system, Artificial intelligence, Distributed computing and Computer security. While work presented in IEEE Transactions on Emerging Topics in Computing provided substantial information on Computer network, it also covered topics in Cloud computing and Mobile telephony. The concepts on Cloud computing presented in it can also apply to other research fields, including Server and Encryption.
The study on Mobile telephony presented in it intersects with subjects under the field of Mobile computing. The Embedded system study featured in IEEE Transactions on Emerging Topics in Computing draws parallels with the field of Logic gate. The Artificial intelligence works featured in the journal incorporate elements from Machine learning and Computer vision.
The most cited papers primarily focus on research topics in Computer network, Cloud computing, Distributed computing, Computer security and Mobile computing. While Computer network is the focus of the journal articles, it also provides insights into the studies of Cyber-physical system and Mobile telephony. The most cited publications hold forums on Cloud computing that merge themes from other disciplines such as Scalability, Server and Mobile device.
IEEE Transactions on Emerging Topics in Computing mainly deals with areas of study such as Artificial intelligence, Cloud computing, Overhead (computing), Artificial neural network and Data science. Artificial intelligence research presented in it encompasses a variety of subjects, including Machine learning, Computer vision and Pattern recognition. Some problems in Cloud computing that were presented in IEEE Transactions on Emerging Topics in Computing overlapped with concepts under Computer network, Server and Encryption.
Homomorphic encryption is a major topic of Encryption research presented in IEEE Transactions on Emerging Topics in Computing. Overhead (computing) study tackled is connected to the field of Routing (electronic design automation). The presented research on Data science deals specifically with Big data but it also addresses topics in Data modeling.
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 IEEE Transactions on Emerging Topics in Computing (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 IEEE Transactions on Emerging Topics in Computing (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, 18.43% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.64% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.04% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.51% of all publications and 54.80% 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.
With the rapid evolution and constant advancements in the field of Emerging Topics in Computing, numerous career opportunities have sprung up for professionals interested in innovative technologies. Over the last few years, the need for specialists in areas such as computer networks, embedded systems, artificial intelligence, and distributed computing has significantly increased. A career in this domain is not just financially rewarding, but also provide a platform for continuous learning and development. It offers professionals an exciting and stimulating working environment where they can work on state-of-the-art technologies and contribute to the world of innovation. Moreover, the skills and knowledge acquired in these areas of computing open doors to various other job profiles. For instance, an understanding of computer networks can pave the way to becoming a Network Administrator or Network Engineer. Fascination with embedded systems can transform into a career as an Embedded Systems Engineer. With an interest in artificial intelligence, roles like AI Developer or Machine Learning Engineer can be undertaken. Furthermore, teaching positions related to these topics are also available in various schools and universities worldwide. One such example is the role of a preschool teacher assistant who trains students on the basics of computing and technology. You can learn more about how to become a preschool teacher assistant in Minnesota here. In conclusion, the field of computing offers a myriad of career opportunities ranging from development, research, networking, to education. The choice of career path solely depends on individual interests and expertise.
Jiadai Wang;Lei Zhao;Jiajia Liu;Nei Kato
(2021)Muhammad Yasin;Bodhisatwa Mazumdar;Ozgur Sinanoglu;Jeyavijayan Rajendran
(2020)Yufeng Zhan;Jie Zhang;Zicong Hong;Leijie Wu
(2021)Qianlong Wang;Yifan Guo;Lixing Yu;Pan Li
(2020)Gai-Ge Wang;Xingjuan Cai;Zhihua Cui;Geyong Min
(2020)Xi Lin;Jun Wu;Shahid Mumtaz;Sahil Garg
(2021)Exploring Computer Science education through online programs has become increasingly popular, offering flexibility and a range of options for students worldwide. Many prospective learners prioritize programs where they can learn at their own pace; platforms featuring self paced online colleges provide such tailored experiences, ideal for balancing studies with work or personal commitments.
Cost is often a major consideration. For those seeking advanced education without breaking the bank, the list of cheapest online graduate programs offers valuable insight into budget-friendly master’s degrees, especially in tech-related fields like Computer Science.
Starting with foundational credentials? Many learners opt for associate degrees easiest to get, which often feature streamlined curricula while providing essential knowledge to launch a career or bolster further education.
Finally, accreditation ensures the quality and recognition of your online credentials. Choosing degrees from online degrees accredited institutions is critical for career credibility and transferability of credits.
