0142-0615
Published by: Elsevier
https://www.journals.elsevier.com/international-journal-of-electrical-power-and-energy-systems
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 24 | 426 | 1221 | 64 |
| Engineering and Technology | 83 | 167 | 418 | 49 |
The aim of International Journal of Electrical Power & Energy Systems is to expand the discussion of research in Control theory, Electric power system, Mathematical optimization, Power (physics) and Voltage. Control theory research presented in the journal encompasses a variety of subjects, including Control engineering, Fault (power engineering), Electronic engineering and AC power. The journal explores topics in Electronic engineering which can be helpful for research in disciplines like Transmission line and Electric power transmission.
The journal addresses concerns in Electric power system which are intertwined with other disciplines, such as Wind power, Electrical network, Reliability engineering, Algorithm and Transient (oscillation). International Journal of Electrical Power & Energy Systems links adjacent topics like Wind power with Renewable energy. Reliability engineering research discussed connects with the study of Reliability (statistics).
The research on Mathematical optimization tackled can also make contributions to studies in the areas of Distributed generation and Economic dispatch. The journal connects the study in Power (physics) with the closely related area of Grid. Voltage research discussed in the journal aim to provide more information in the subject of Electrical engineering.
The published articles mainly tackle studies in Electric power system, Control theory, Mathematical optimization, Electrical network and Control engineering. The journal papers address concerns in the field of Control theory by exploring it in line with topics in Voltage which intersect with Electronic engineering subjects. The published papers hold forums on Mathematical optimization that merge themes from other disciplines such as Algorithm and Economic dispatch.
The journal investigates studies in Control theory, Electric power system, Power (physics), Mathematical optimization and Grid. The work on Control theory tackled in the journal brings together disciplines like Fault (power engineering) and AC power, Voltage. While the journal focused on Electric power system, it was also able to explore topics like Wind power, Process (computing), Automatic frequency control and Sensitivity (control systems).
The concepts on Power (physics) presented in the journal can also apply to other research fields, including Reliability engineering, Photovoltaic system and Renewable energy. The journal focuses on Mathematical optimization but the discussions also offer insight into other areas such as Energy (signal processing) and Demand response. Grid works presented in it have a specific focus on Microgrid.
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 International Journal of Electrical Power & Energy Systems (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 International Journal of Electrical Power & Energy Systems (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 2022 edition, 17.04% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.13% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.63% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.18% of all publications and 48.06% 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.
Yi Zhang;Xiaohan Shi;Hengxu Zhang;Yongji Cao
(2022)Haixiang Zang;Lilin Cheng;Tao Ding;Kwok W. Cheung
(2020)Enock Mulenga;Math H.J. Bollen;Nicholas Etherden
(2020)Arezoo Hasankhani;Seyed Mehdi Hakimi;Mojtaba Bisheh-Niasar;Miadreza Shafie-khah
(2021)Unknown
(2020)Qingxin Shi;Fangxing Li;Mohammed Olama;Jin Dong
(2021)Yan Cao;Liang Huang;Yiqing Li;Kittisak Jermsittiparsert
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