| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 227 | 91 | 88 | 16 |
The journal aims to foster the development of research in Computer network, Communication channel, Wireless, Algorithm and Telecommunications. Topics in Computer network were tackled in line with various other fields like Distributed computing, Wireless network and Throughput. The studies tackled, which mainly focus on Distributed computing, apply to Wireless ad hoc network as well.
The tackled Throughput research is interrelated with Telecommunications link which concerns subjects like Interference (wave propagation). Issues in Communication channel were discussed, taking into consideration concepts from other disciplines like Relay and Real-time computing. Cognitive radio is a major topic of Wireless research.
The concepts on Algorithm presented in the journal can also apply to other research fields, including Speech recognition, Theoretical computer science and Bit error rate. It aims to address concerns in Telecommunications, specifically in the areas of Transmitter and Transmission (telecommunications). The featured Wireless sensor network studies mainly concentrate on Energy consumption but also cover areas of interest in Efficient energy use.
The journal publications are organized to address concerns in the fields of Computer network, Communication channel, Telecommunications, Wireless and Wireless sensor network. Energy consumption, Wireless network, Throughput and Distributed computing are some topics wherein Computer network research discussed in the published papers has an impact. While work presented in the most cited papers provide substantial information on Communication channel, it also covers topics in Transmitter and Algorithm.
Eurasip Journal on Wireless Communications and Networking is mainly concerned with subjects like Computer network, Wireless, Algorithm, Wireless sensor network and 5G. Research on Computer network presented in Eurasip Journal on Wireless Communications and Networking focuses, in particular, on Network packet, Base station, Service (systems architecture), Reliability (computer networking) and Quality of service. The journal focuses on Base station but the discussions also offer insight into other areas such as Transmission (telecommunications) and Telecommunications link.
The Wireless works featured in it incorporate elements from Relay, Real-time computing and Communications system. In the journal, Artificial neural network and Communication channel are investigated in conjunction with one another to address concerns in Algorithm research. While Eurasip Journal on Wireless Communications and Networking focused on Wireless sensor network, it was also able to explore topics like Node (networking), Energy consumption, Efficient energy use and Routing protocol.
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 Eurasip Journal on Wireless Communications and Networking (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 Eurasip Journal on Wireless Communications and Networking (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, 8.15% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.79% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.92% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.83% of all publications and 67.46% 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.
Nurul Huda Mahmood;Stefan Böcker;Ingrid Moerman;Onel L. Alcaraz López
(2021)Joonas Kokkoniemi;Janne Lehtomäki;Markku J. Juntti
(2021)Visa Tapio;Ibrahim A. Hemadeh;Alain Mourad;Arman Shojaeifard
(2021)Thiago R. Raddo;Thiago R. Raddo;Simon Rommel;Bruno Cimoli;Chris Vagionas
(2021)Miroslav Mitev;Arsenia Chorti;Martin Reed;Leila Musavian
(2020)Yaru Fu;Xiaolong Yang;Peng Yang;Angus K. Y. Wong
(2021)Marco Zoli;André Noll Barreto;Stefan Köpsell;Padmanava Sen
(2020)Haji M. Furqan;Mehmet Ali Aygül;Mahmoud Nazzal;Hüseyin Arslan;Hüseyin Arslan
(2020)Pursuing a degree in Computer Science opens doors to various specialized fields and exciting career opportunities. For those interested in cutting-edge technology, an artificial intelligence major offers a focused path into AI development, machine learning, and data science roles that are in high demand across industries.
Additionally, exploring interdisciplinary paths can enhance your skills and employability. For instance, students can consider environmental sectors by combining tech skills with sustainability studies. Understanding what jobs can you get with an environmental science degree reveals roles in environmental data analysis and resource management, showcasing how computer science applications support ecological solutions.
Many learners today seek flexibility alongside quality education. Enrolling in a well-structured online computer science degree program allows students to fast-track their credentials without sacrificing academic rigor. This convenience is especially beneficial for working professionals or those balancing other commitments.
Furthermore, some students find value in pursuing complementary fields like environmental engineering. An online environmental engineering degree merges technical expertise with environmental problem-solving, creating diverse career pathways that leverage both engineering and computing skills.
