| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 95 | 256 | 509 | 32 |
| Engineering and Technology | 363 | 81 | 154 | 21 |
The main points discussed in Iet Generation Transmission & Distribution deals with Control theory, Electric power system, Mathematical optimization, Voltage and Electronic engineering. While Control theory is the focus of the journal, it also provided insights into the studies of Power (physics), AC power, Fault (power engineering) and Transient (oscillation). The journal holds forums on Fault (power engineering) that merges themes from other disciplines such as Algorithm and Electric power transmission.
It focuses on Electric power system but the discussions also offer insight into other areas such as Control engineering, Wind power, Reliability engineering and Electrical network. Studies on Reliability engineering discussed in Iet Generation Transmission & Distribution link to the field of Reliability (statistics). In addition to Mathematical optimization research, Iet Generation Transmission & Distribution aims to explore topics under Distributed generation, Nonlinear programming and Economic dispatch.
The work on Distributed generation addressed in Iet Generation Transmission & Distribution expands to the thematically related Microgrid. Iet Generation Transmission & Distribution focuses on Voltage research as part of the broader topic of Electrical engineering. Research on Electronic engineering addressed in it frequently intersections with the field of Transmission line.
The most cited papers primarily tackle Control theory, Electric power system, Mathematical optimization, Electronic engineering and AC power. The journal publications explore issues in Control theory which can be linked to other research areas like Control engineering, Power (physics) and Voltage. While Mathematical optimization is the focus of the journal publications, it also provides insights into the studies of Algorithm and Distributed generation.
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 Iet Generation Transmission & Distribution (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 Iet Generation Transmission & Distribution (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, 2.52% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.55% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.52% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.32% of all publications and 51.61% 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.
Zhi Yuan;Weiqing Wang;Haiyun Wang;Noradin Ghadimi
(2020)Unknown
(2023)Yogendra Arya
(2020)Suhail Afzal;Hazlie Mokhlis;Hazlee Azil Illias;Nurulafiqah Nadzirah Mansor
(2020)Sachin Kumar;R.K. Saket;Dharmendra Kumar Dheer;Jens Bo Holm-Nielsen
(2020)Mohammad Amin Mirzaei;Morteza Zare Oskouei;Behnam Mohammadi-Ivatloo;Abdolah Loni
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