1341-8939
Published by: The Institute of Electrical Engineers of Japan
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 535 | 9 | 26 | 2 |
Ieej Transactions on Sensors and Micromachines covers a variety of subjects, including Optoelectronics, Optics, Electrical engineering, Microelectromechanical systems and Control theory. The work on Optoelectronics tackled in it brings together disciplines like Thin film, Electronic engineering and Analytical chemistry.
The journal publications are organized to reinforce research efforts on Optoelectronics, Optics, Silicon, Nanotechnology and Composite material. The most cited papers address concerns in Optoelectronics which are intertwined with other disciplines, such as Pixel, Electrode and Analytical chemistry. The journal articles with studies in Composite material featured incorporate elements of Thin film, Sputtering and Tactile sensor.
Ieej Transactions on Sensors and Micromachines mostly deals with topics like Optoelectronics, Nanotechnology, Biomedical engineering, Electrical engineering and Electrode. Research on Optoelectronics addressed in the journal frequently intersections with the field of Layer (electronics). Nanotechnology study tackled is connected to the field of Nano-.
It connects the study in Nano- with the closely related area of Molecular systems. Electrical engineering and Power (physics) are closely related fields of research discussed in it. The in-depth study on Power (physics) also explores topics in the intersecting field of Wireless.
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 Ieej Transactions on Sensors and Micromachines (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 Ieej Transactions on Sensors and Micromachines (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, 25.97% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 43.86% were posted by at least one author from the top 10 institutions publishing in the journal. Another 22.81% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.05% of all publications and 12.28% 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.
Grant A. Cathcart;Agnes Tixier-Mita;Satoshi Ihida;Anne-Claire Eiler
(2020)Kiyotaka Sasagawa;Erus Rustami;Yasumi Ohta;Makito Haruta
(2021)Sawako Tanaka;Young Joon Choi;Makoto Ishida;Kazuaki Sawada
(2020)Makoto Mita;Manabu Ataka;Hiroshi Toshiyoshi
(2020)Yukiya Tohyama;Hiroaki Honma;Hidehiko Sekiya;Hiroshi Toshiyoshi
(2021)Hiroyuki Mitsuya;Hisayuki Ashizawa;Noriko Shimomura;Hiroaki Honma
(2021)For students interested in Electronics and Electrical Engineering, exploring flexible learning options is essential. Many institutions offer self paced colleges that allow learners to study at their own speed, making it easier to balance education with work or personal commitments.
Cost is often a major consideration. Prospective students should look for accredited programs, especially those from colleges with free application fees, which can reduce upfront expenses and open doors to quality education without added financial stress.
Beyond engineering, related fields like medical billing and coding offer affordable online courses. Research into medical billing and coding classes cost can reveal cost-effective pathways for those interested in healthcare technology roles.
For career advancement, some may consider transitioning through professional bridge programs. Options such as the ccma to lpn bridge program provide a structured route for medical assistants aiming to become licensed practical nurses, illustrating how online education increasingly supports diverse professional growth.