0913-6339
Published by: The Institute of Electrical Engineers of Japan
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 448 | 12 | 38 | 5 |
The concepts of Control theory, Electrical engineering, Electronic engineering, Control engineering and Voltage are tackled in the journal. The work on Control theory addressed in Ieej Transactions on Industry Applications expands to the thematically related Induction motor. Vector control is a focus of the Induction motor works in it.
Electrical engineering research discussed connects with the study of Power (physics). Issues in Electronic engineering were discussed, taking into consideration concepts from other disciplines like Pulse-width modulation, Inverter and Power factor. The work tackled in Ieej Transactions on Industry Applications goes beyond the discipline of Control engineering as it also encompasses Control (management).
The study on Torque presented in the journal intersects with the topics under Direct torque control. It dives deep in exploring the relationship between the study of Synchronous motor and AC motor.
The published articles mostly deal with topics like Control theory, Control engineering, Electronic engineering, Electrical engineering and Voltage. While work presented in the published papers provide substantial information on Control theory, it also covers topics in Vector control, Induction motor and Position (vector). The most cited publications focus on Electrical engineering but sometimes tackle the closely related topic of Power (physics) which is concerned with Wheelchair.
Ieej Transactions on Industry Applications tackles a plethora of topics, such as Control theory, Electrical engineering, Artificial intelligence, Development (topology) and Computer vision. Ieej Transactions on Industry Applications holds forums on Control theory that merges themes from other disciplines such as Type (model theory), Reduction (complexity), Torque ripple, Control (management) and Current (fluid). While work presented in Ieej Transactions on Industry Applications provided substantial information on Electrical engineering, it also covered topics in Power (physics) and Connection (mathematics).
The research on Development (topology) discussed in it draws on the closely related field of Engineering management. Among the topics covered in Ieej Transactions on Industry Applications are Computer vision and Drone.
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 Industry Applications (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 Industry Applications (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, 20.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 41.67% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.46% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.88% of all publications and 25.00% 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.
Takashi Kato;Kensuke Sasaki;Diego Fernandez Laborda;Daniel Fernández Alonso
(2020)Osamu Shimizu;Toshiyuki Fujita;Sakahisa Nagai;Hiroshi Fujimoto
(2021)Marika Kobayashi;Shigeo Morimoto;Masayuki Sanada;Yukinori Inoue
(2020)Eigo Totoki;Shinichi Yamaguchi;Toshinori Tanaka;Kazumasa Ito
(2021)Takuro Arai;Kei Sekiguchi;Hiroshi Mochikawa;Kenichiro Sano
(2021)Hayato Sumiya;Osamu Shimizu;Sakahisa Nagai;Hiroshi Fujimoto
(2021)Keiichiro Tokita;Katsuhiro Hata;Takehiro Imura;Hiroshi Fujimoto
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