| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Materials Science | 586 | 20 | 23 | 9 |
| Engineering and Technology | 726 | 14 | 32 | 12 |
| Biology and Biochemistry | 880 | 6 | 7 | 3 |
IEEE Transactions on Nanobioscience mainly tackles studies in Nanotechnology, Artificial intelligence, Algorithm, Molecular communication and Analytical chemistry. Some problems in Nanotechnology that were presented in IEEE Transactions on Nanobioscience overlapped with concepts under Biophysics and Molecular biophysics. In addition to Artificial intelligence research, IEEE Transactions on Nanobioscience aims to explore topics under Machine learning, Data mining and Pattern recognition.
The study on Data mining presented in IEEE Transactions on Nanobioscience intersects with subjects under the field of Cluster analysis. While work presented in IEEE Transactions on Nanobioscience provided substantial information on Molecular communication, it also covered topics in Biological system and Communication channel.
The main points discussed in the journal publications deal with Nanotechnology, Artificial intelligence, Molecular communication, Pattern recognition and Data mining. Tissue engineering and Biophysics are some topics wherein Nanotechnology research discussed in the most cited publications has an impact. The journal papers with studies in Artificial intelligence featured incorporate elements of Machine learning and Computer vision.
The journal primarily tackles Optoelectronics, Molecular communication, Electrode, Biosensor and Algorithm. While the primary focus in the journal is Molecular communication, it also dissects topics surrounding Biological system and Nonlinear system as a whole. The studies in Electrode featured incorporate elements of Laser ablation, Microfluidics, Linear range and Analytical chemistry.
It encompasses Microfluidics studies in the context of Nanotechnology as a whole. Issues in Biosensor were discussed, taking into consideration concepts from other disciplines like Biomolecule, Thin film, Indium tin oxide and Biophysics. The presented Algorithm research focuses mostly on Encoding (memory) and, on occasion, topics in ENCODE.
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 IEEE Transactions on Nanobioscience (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 IEEE Transactions on Nanobioscience (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, 22.92% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.81% were posted by at least one author from the top 10 institutions publishing in the journal. Another 1.35% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.32% of all publications and 63.51% 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.
Given the scope and diversity of research topics covered in IEEE Transactions on Nanobioscience, scholars specializing in this field can explore numerous career opportunities. The knowledge of Nanotechnology, Artificial Intelligence, Algorithms, Molecular Communication, and Analytical Chemistry provide an impressive skill set that is currently in-demand in many industries. For educators interested in sharing their expertise, pathways are available towards academia, offering the chance to inspire the next generation of researchers. For instance, one may consider a career as a history teacher, which ensures the propagation of knowledge in a high-demand subject. For specific tips and guidance on pursuing such a career in the state of Nevada, please consult our detailed guide on how to become a history teacher in Nevada. For those inclined towards industry, corporations and government agencies are constantly seeking experts in Nanotechnology and Artificial Intelligence to drive innovation and development, while the knowledge of Algorithms, Molecular Communication, and Analytical Chemistry lends itself to roles in various biotechnology and pharmaceutical companies. Lastly, participation and contribution to academic research can also open doors towards opportunities in scientific journalism, consultancy, and policy-making. They can also contribute to innovation in healthcare, industry, and technology- all sectors where nanobioscience can play a vital part. Regardless of the chosen path, a career in Nanobioscience is a promising and exciting opportunity to contribute to technological and societal advancement, from education to industry and beyond.
Yu Wang;Guo Zhu;Muyang Li;Ragini Singh
(2021)Santosh Kumar;Ragini Singh;Guo Zhu;Qingshan Yang
(2020)Jing Zhu;Zihan Wang;Tao Gong;Shuai Zeng
(2020)Brajesh Kumar Kaushik;Lokendra Singh;Ragini Singh;Guo Zhu
(2020)Chunyu Wang;Junling Guo;Ning Zhao;Yang Liu
(2020)Shaoliang Peng;Xing Hu;Jinglin Zhang;Xiaolan Xie
(2020)Yansen Su;Sen Li;Chunhou Zheng;Xingyi Zhang
(2020)Ben Cao;Xiaokang Zhang;Jieqiong Wu;Bin Wang
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