| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 447 | 13 | 12 | 5 |
The journal covers a variety of subjects, including Electronic engineering, Molecular communication, Communication channel, Wireless and Distributed computing. Transmission (telecommunications), Modulation, Noise (electronics), Decoding methods and Terahertz radiation are some topics wherein Electronic engineering research discussed in it have an impact. Nano Communication Networks explores research in Transmission (telecommunications) and the adjacent study of Biological system.
It focuses on Terahertz radiation research as part of the broader topic of Optoelectronics. In addition to Molecular communication research, it aims to explore topics under Nanonetwork, Nanotechnology, Algorithm and Communications system. Channel capacity is a focus of the Communication channel works in the journal.
The work on Wireless tackled in Nano Communication Networks brings together disciplines like Computer network and Nanosensor. Computer network and Throughput are closely related fields of research discussed in it. Discussions in it are anchored in the subject of Distributed computing and the similar topic of Telecommunications network.
The published articles investigate areas of study like Molecular communication, Electronic engineering, Distributed computing, Communication channel and Nanonetwork. Issues in Molecular communication were discussed in the published papers, taking into consideration concepts from other disciplines like Nanomedicine and Communications system. The published papers address concerns in Electronic engineering which are intertwined with other disciplines, such as Noise (electronics), Decoding methods, Modulation and Transmission (telecommunications).
Nano Communication Networks primarily tackles Electronic engineering, Molecular communication, Communication channel, Distributed computing and Terahertz radiation. The journal explores topics in Electronic engineering which can be helpful for research in disciplines like Scalability, Reduction (complexity), Silicon photonics, Interconnection and Insertion loss. The concepts on Molecular communication presented in Nano Communication Networks can also apply to other research fields, including Interference (communication), Algorithm and Transmission (telecommunications).
While Communication channel is the focus of the journal, it also provided insights into the studies of Interference (wave propagation), Limit (mathematics) and Control theory. Distributed computing research in Nano Communication Networks involves the investigation of Communications protocol studies, all of which are linked to disciplines such as SIMPLE (military communications protocol) and Finite-state machine. Topics in Terahertz radiation explored in the journal were investigated in conjunction with research in High availability, Data transmission and Metamaterial.
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 Nano Communication 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 Nano Communication 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 2021 edition, 14.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.67% 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 33.33% of all publications and 50.00% 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.
Xinying Ma;Zhi Chen;Wenjie Chen;Yaojia Chi
(2020)Joonas Kokkoniemi;Alexandros-Apostolos A. Boulogeorgos;Mubarak Umar Aminu;Janne Lehtomäki
(2020)Amit Sangwan;Josep Miquel Jornet
(2021)Abbas Kalate Seyfari;Mahdi Bahadoran;Preecha P. Yupapin
(2021)Filip Lemic;Sergi Abadal;Chong Han;Johann M. Marquez-Barja
(2021)Siavash Ghavami;Raviraj Adve;Farshad Lahouti
(2021)Mahendra Singh Thakur;Sanjeev Sharma;Vimal Bhatia
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