Journal of Sensor and Actuator Networks

Top Research Topics at Journal of Sensor and Actuator Networks?

The journal aims to foster the development of research in Wireless sensor network, Computer network, Distributed computing, Wireless and Real-time computing. The studies on Wireless sensor network discussed can also contribute to research in the domains of Software deployment, Energy consumption, Sensor node, Key distribution in wireless sensor networks and Algorithm. The work on Key distribution in wireless sensor networks presented in the journal focuses on Mobile wireless sensor network in particular.

Computer network research presented in it encompasses a variety of subjects, including Wireless network and Efficient energy use. Journal of Sensor and Actuator Networks focuses on Distributed computing but the discussions also offer insight into other areas such as Software and Cloud computing. The study on Cloud computing presented in it intersects with subjects under the field of The Internet.

The Wireless study featured in Journal of Sensor and Actuator Networks draws connections with the study of Computer security. The research on Real-time computing discussed in the journal draws on the closely related field of Transmission (telecommunications).

• Wireless sensor network (30.14%)
• Computer network (26.48%)
• Distributed computing (14.93%)

What are the most cited papers published in the journal?

• Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2.0 (630 citations)
• IETF Standardization in the Field of the Internet of Things (IoT): A Survey (156 citations)
• An Experimental Evaluation of the Reliability of LoRa Long-Range Low-Power Wireless Communication (107 citations)

Research areas of the most cited articles at Journal of Sensor and Actuator Networks:

The most cited publications investigate areas of study like Wireless sensor network, Computer network, Energy consumption, Computer security and The Internet. The most cited articles explore issues in Wireless sensor network which can be linked to other research areas like Key distribution in wireless sensor networks, Software deployment and Power consumption. While the most cited publications focused on Computer network, they were also able to explore topics like Field (computer science) and Software.

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

• Computer network
• Operating system
• Artificial intelligence

The previous edition focused in particular on these issues:

The journal is mainly concerned with subjects like Computer network, Artificial intelligence, Wireless sensor network, Wireless and Distributed computing. While work presented in Journal of Sensor and Actuator Networks provided substantial information on Computer network, it also covered topics in Wireless network and The Internet. The research on Artificial intelligence tackled can also make contributions to studies in the areas of Field (computer science) and Machine learning.

Topics in Wireless sensor network explored in it were investigated in conjunction with research in Routing (electronic design automation), Graph (abstract data type), Information security, Protocol (object-oriented programming) and Key (cryptography). The presented Wireless research provided insight into the related

• Actuator which intersects with area such as Computer security and Cyber-physical system,
• Transmission (telecommunications) which is related to area like Limit (music), Latency (audio) and Digital data.. Journal of Sensor and Actuator Networks explores issues in Distributed computing which can be linked to other research areas like Virtualization, Edge device, Software deployment, Enhanced Data Rates for GSM Evolution and Software.

The most cited articles from the last journal are:

• Intelligent Machine Vision Model for Defective Product Inspection Based on Machine Learning (6 citations)
• A Study of Fall Detection in Assisted Living: Identifying and Improving the Optimal Machine Learning Method (4 citations)
• Visible Light Communications through Diffusive Illumination of Sculptures in a Real Museum (2 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 Journal of Sensor and Actuator Networks (based on the number of publications) are:

• Adnan Al-Anbuky (5 papers) absent at the last edition,
• Jie Wu (5 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Marko Beko (5 papers) published 2 papers at the last edition the same number as at the previous edition,
• Abdelrahman Abuarqoub (4 papers) absent at the last edition,
• Khandakar Ahmed (4 papers) absent at the last 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 Journal of Sensor and Actuator Networks (based on the number of publications) are:

• Universidade Lusófona (2 papers) absent at the last edition,
• Vanderbilt University (2 papers) absent at the last edition,
• Waseda University (2 papers) absent at the last edition,
• Florida Atlantic University (2 papers) absent at the last edition,
• University of Lübeck (2 papers) absent at the last 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, 98.21% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 100.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 0.00% 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.