Mobile Networks and Applications

Top Research Topics at Mobile Networks and Applications?

The objective of the journal is to combine knowledge in the areas of Computer network, Distributed computing, Computer communication networks, Wireless and Wireless network. The Computer network works featured in it incorporate elements from Wireless ad hoc network and Vehicular ad hoc network. Wireless ad hoc network works presented in it have a specific focus on Optimized Link State Routing Protocol.

The journal focuses on Distributed computing but the discussions also offer insight into other areas such as Wireless Routing Protocol, Cloud computing and Mobile computing. The journal explores issues in Wireless Routing Protocol which can be linked to other research areas like Link-state routing protocol and Dynamic Source Routing. Among the topics covered in the journal are Computer communication networks and Multimedia.

Mobile Networks and Applications covers Wireless research under the subject of Telecommunications. The journal focuses on different Wireless network studies like Wireless WAN and Wi-Fi array. Key distribution in wireless sensor networks and Real-time computing are some topics wherein Wireless sensor network research discussed in it have an impact.

• Computer network (44.22%)
• Distributed computing (17.60%)
• Computer communication networks (16.11%)

What are the most cited papers published in the journal?

• Big Data: A Survey (1753 citations)
• An efficient routing protocol for wireless networks (1215 citations)
• Body Area Networks: A Survey (1070 citations)

Research areas of the most cited articles at Mobile Networks and Applications:

The most cited publications aim to foster the development of research in Computer network, Distributed computing, Wireless, Wireless sensor network and Wireless network. The published articles explore research in Computer network alongside concepts in Wireless ad hoc network and other areas of study in Mobile ad hoc network. While work presented in the most cited publications provide substantial information on Distributed computing, it also covers topics in Node (networking) and Wireless mesh network.

What topics the last edition of the journal is best known for?

• Computer network
• Artificial intelligence
• Operating system

The previous edition focused in particular on these issues:

The primary areas of discussion in Mobile Networks and Applications are Artificial intelligence, Computer communication networks, Computer network, Algorithm and Cloud computing. Topics in Artificial intelligence explored in it were investigated in conjunction with research in Machine learning, Computer vision and Pattern recognition. Aside from Computer communication networks, the journal also covered works in the field of Multimedia.

Computer network research discussed connects with the study of Communication channel. The journal connects the study in Algorithm with the closely related area of Cluster analysis. The studies tackled, which mainly focus on 5G, apply to Spectral efficiency as well.

The most cited articles from the last journal are:

• Vehicular Edge Computing and Networking: A Survey (80 citations)
• Demand Response Management in Smart Grid Networks: a Two-Stage Game-Theoretic Learning-Based Approach (39 citations)
• New Method of Energy Efficient Subcarrier Allocation Based on Evolutionary Game Theory (37 citations)

Papers citation over time

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.

Top authors and change over time

The top authors publishing in Mobile Networks and Applications (based on the number of publications) are:

• Bo Li (25 papers) published 1 paper at the last edition, 3 less than at the previous edition,
• Victor C. M. Leung (24 papers) absent at the last edition,
• Phan Cong Vinh (23 papers) published 2 papers at the last edition, 1 less than at the previous edition,
• Min Chen (20 papers) absent at the last edition,
• Huimin Lu (18 papers) published 1 paper at the last edition, 9 less than at the previous edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Mobile Networks and Applications (based on the number of publications) are:

• Huazhong University of Science and Technology (57 papers) published 3 papers at the last edition the same number as at the previous edition,
• University of British Columbia (37 papers) published 1 paper at the last edition the same number as at the previous edition,
• Beijing University of Posts and Telecommunications (31 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Xidian University (31 papers) published 6 papers at the last edition, 6 less than at the previous edition,
• Harbin Institute of Technology (31 papers) published 5 papers at the last edition, 4 less than at the previous edition.

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.

Publication chance based on affiliation

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, 1.92% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.14% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.82% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.22% of all publications and 58.82% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

How Can Research in Mobile Networks and Applications Be Applied in Education?

Research topics and developments in Mobile Networks and Applications have vast applications beyond the technology and telecommunications sector. One important area that may derive significant benefits from these technological advancements is education. For instance, computer network research and wireless network studies can enable more efficient and accessible distance learning experiences via improvements in connectivity and information distribution.

An exciting application is the teaching profession itself, with the ongoing research making way for new teaching methodologies, class management systems, and educational resources. Introduction of concepts such as distributed computing and cloud computing in classrooms can reduce the physical constraints of education, making learning materials more accessible to students remotely.

In particular, historical research and teaching can benefit immensely from this technological paradigm shift. With advanced mobile network technology, history teachers in Louisiana, as well as other parts of the world, can connect with their students, share resources, conduct virtual tours of historical sites, and more, all at the convenience of their mobile devices. For more information on this, aspiring educators can visit this how to be a history teacher in Louisiana resource page.

In conclusion, the ongoing research and discussions in Mobile Networks and Applications have substantial potential in reshaping educational practices. The challenge lies in successfully leveraging these advancements to create more effective, engaging, and accessible educational experiences.