| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 197 | 195 | 244 | 26 |
| Electronics and Electrical Engineering | 232 | 63 | 95 | 16 |
The journal primarily tackles Wireless sensor network, Computer network, Real-time computing, Key distribution in wireless sensor networks and Distributed computing. The journal focuses on Wireless sensor network but the discussions also offer insight into other areas such as Wireless, Network packet, Energy consumption, Node (networking) and Efficient energy use. Computer network research featured in ACM Transactions on Sensor Networks incorporates concerns from various other topics such as Wireless network, Transmission (telecommunications) and Key (cryptography).
Some problems in Real-time computing that were presented in the journal overlapped with concepts under Software deployment, Energy (signal processing), Simulation, Embedded system and Scheduling (computing). Studies on Key distribution in wireless sensor networks discussed in it link to the field of Network topology. It links adjacent topics like Distributed computing with Scalability.
The most cited articles tackle a plethora of topics, such as Wireless sensor network, Key distribution in wireless sensor networks, Computer network, Distributed computing and Real-time computing. Wireless, Data mining, Energy consumption, Embedded system and Node (networking) are some topics wherein Wireless sensor network research discussed in the journal papers has an impact. The works on Computer network tackled in the journal papers bring together disciplines like Wireless network and Key (cryptography).
The main points discussed in ACM Transactions on Sensor Networks deals with Wireless sensor network, Computer network, Real-time computing, Cross technology communication and Wireless. The work on Wireless sensor network tackled in it brings together disciplines like Timestamping, Human–computer interaction, Key (cryptography), Node (networking) and Estimation. The studies on Human–computer interaction discussed can also contribute to research in the domains of Wearable computer and Identification (information).
ACM Transactions on Sensor Networks covers research in Computer network, particularly Scheduling (computing) and how they are related with concepts in Environmental impact assessment. In it, Wireless mesh network, Computer hardware and Encoding (memory) are investigated in conjunction with one another to address concerns in Cross technology communication research. It facilitates discussions in Wireless data as part of the larger field of Wireless, however, it also tackles fields such as Resource constraints.
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 ACM Transactions on Sensor Networks (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 ACM Transactions on Sensor Networks (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 2022 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 50.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.33% of all publications and 33.33% 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.
An appreciation of the breadth of research topics from ACM Transactions on Sensor Networks can create numerous career opportunities. For example, being well-versed in areas like wireless sensor network, computer network, and real-time computing can be beneficial for careers in academia, research, and corporate IT departments. Positions such as research analysts, network administrators, and even high school teachers can find the content of this journal directly applicable to their profession. For those considering academia, particularly in teaching, knowledge acquired from the journal can equip you to better educate future technologists. Becoming a high school teacher, for example, would require a thorough understanding of the concepts discussed in the journal and methods of delivering these concepts effectively to young learners. You can follow this guide on how to become a high school art teacher in Utah to understand the basic requirements and procedures for entering the teaching profession. It is also crucial for those who contribute to the journal to consider the career advancement opportunities this can bring. Publishing research in such a highly recognized journal can enhance your professional credibility and open up avenues for conferences, research grants, and collaborations. Regardless of your career path, having a solid understanding of the topics covered by ACM Transactions on Sensor Networks can position you well in the ever-evolving world of technology.
Francesco Concas;Julien Mineraud;Eemil Lagerspetz;Samu Varjonen
(2021)Unknown
(2022)Xiaolong Xu;Zijie Fang;Jie Zhang;Qiang He
(2021)Unknown
(2022)Yantao Li;Hailong Hu;Zhangqian Zhu;Gang Zhou
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