| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 7 | 232 | 282 | 96 |
| Computer Science | 9 | 311 | 346 | 105 |
IEEE Communications Surveys and Tutorials focuses on Computer network, Wireless, Computer security, Telecommunications and Distributed computing. The journal addresses concerns in Computer network which are intertwined with other disciplines, such as Wireless network, The Internet and Wireless ad hoc network. Radio resource management is a key component of Wireless network research discussed in IEEE Communications Surveys and Tutorials.
The works on Wireless ad hoc network deal in particular with Vehicular ad hoc network. While Wireless is the focus of the journal, it also provided insights into the studies of 5G and Communications system. It focuses on Computer security but sometimes tackles the closely related topic of Cloud computing which is concerned with Server.
The majority of Telecommunications studies presented zero in on Cellular network. The research on Distributed computing featured in the journal combines topics in other fields like Link-state routing protocol and Routing protocol. The study on Wireless sensor network presented in the journal intersects with subjects under the field of Key distribution in wireless sensor networks.
The published articles primarily tackle Computer network, Computer security, Telecommunications, Wireless and Distributed computing. The published papers hold forums on Computer network that merge themes from other disciplines such as Wireless network and Wireless ad hoc network, Vehicular ad hoc network. While Computer security is the focus of the most cited papers, it also provides insights into the studies of The Internet and Smart grid.
The objective of the journal is to combine knowledge in the areas of Wireless, Wireless network, Computer security, Cloud computing and Data science. The Wireless works featured in IEEE Communications Surveys and Tutorials incorporate elements from Computer network and The Internet. Issues in Wireless network were discussed, taking into consideration concepts from other disciplines like Machine learning, Wireless sensor network and Artificial intelligence.
In addition to Cloud computing research, the journal aims to explore topics under Distributed computing, Server and Service (systems architecture). In IEEE Communications Surveys and Tutorials, Telecommunications network and Enhanced Data Rates for GSM Evolution are investigated in conjunction with one another to address concerns in Distributed computing research. The presented research on Data science deals specifically with Scalability but it also addresses topics in Reinforcement 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 IEEE Communications Surveys and Tutorials (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 Communications Surveys and Tutorials (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, 10.84% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.32% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.81% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 31.08% of all publications and 33.78% 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.
Wei Yang Bryan Lim;Nguyen Cong Luong;Dinh Thai Hoang;Yutao Jiao
(2020)Yuanwei Liu;Xiao Liu;Xidong Mu;Tianwei Hou
(2021)Unknown
(2022)Mohammed Ali Al-Garadi;Amr Mohamed;Abdulla Khalid Al-Ali;Xiaojiang Du
(2020)Oltjon Kodheli;Eva Lagunas;Nicola Maturo;Shree Krishna Sharma
(2021)Shimin Gong;Xiao Lu;Dinh Thai Hoang;Dusit Niyato
(2020)Exploring related online degrees can broaden your career opportunities in the field of computer science. For instance, pursuing an online engineer degree provides a strong foundation in technical problem-solving, which is highly valued across many industries.
Creative professionals may find a game art degree online particularly appealing, blending computer science with visual design to enter the growing field of video game development.
With cybersecurity threats on the rise, an affordable and accessible cyber security online degree cost remains a critical consideration for aspiring professionals eager to protect digital assets and infrastructure.
Data is the new gold, making data science degrees an excellent choice for those looking to specialize in analyzing and interpreting complex datasets to guide decision-making.
Each pathway offers unique skills and career pathways, making it important to consider your interests, budget, and long-term goals when selecting an online degree.