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IET Electric Power Applications
H-index 18

IET Electric Power Applications

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 209 110 167 17
Engineering and Technology 866 26 38 9

Additional Metrics

Number of Best Scientists*: 164
Documents by Best Scientists*: 220
Top 100 Ranked Scientists*: 6
SCIMAGO H-index: 108
SCIMAGO SJR: 0.503
Impact Factor: 1.5

Overview

Top Research Topics at Iet Electric Power Applications?

The topics of Control theory, Stator, Finite element method, Torque and Magnet are the focal point of discussions in the journal. In the journal, Induction motor, Voltage and Rotor (electric) are investigated in conjunction with one another to address concerns in Control theory research. The study of Electrical engineering serves as the foundation of the Voltage research discussed in Iet Electric Power Applications.

While Stator is the focus of it, it also provided insights into the studies of Fault (power engineering), Vector control, Harmonics and Electromagnetic coil. Topics in Finite element method were tackled in line with various other fields like Mechanics and Eddy current. It addresses concerns in Torque which are intertwined with other disciplines, such as Torque ripple and Direct torque control.

Some problems in Magnet that were presented in Iet Electric Power Applications overlapped with concepts under Magnetic flux and Automotive engineering. The work on Machine control tackled in Iet Electric Power Applications brings together disciplines like Control system and Model predictive control. Synchronous motor and Electric motor are closely related fields of research discussed in it.

  • Control theory (55.32%)
  • Stator (21.64%)
  • Finite element method (20.01%)

What are the most cited papers published in the journal?

  • Multiphase induction motor drives - : a technology status review (1107 citations)
  • Review of condition monitoring of rotating electrical machines (370 citations)
  • Comparison of the performance of maximum power point tracking schemes applied to single-stage grid-connected photovoltaic systems (317 citations)

Research areas of the most cited articles at Iet Electric Power Applications:

The most cited publications mostly deal with topics like Control theory, Control engineering, Stator, Electronic engineering and Synchronous motor. In addition to Control theory research, the most cited papers aim to explore topics under Induction motor and Electric motor. Issues in Stator were discussed in the journal papers, taking into consideration concepts from other disciplines like Harmonics, Electromagnetic coil, Fault (power engineering), Magnet and Rotor (electric).

What topics the last edition of the journal is best known for?

  • Electrical engineering
  • Mechanical engineering
  • Control theory

The previous edition focused in particular on these issues:

The journal is organized to address concerns in the fields of Control theory, Mechanical engineering, Magnet, Mechanics and Permanent magnet synchronous motor. The work on Control theory presented in the journal focuses on Torque in particular. The majority of Mechanical engineering studies are focused on the issues of Permanent magnet motor.

It explores topics in Mechanics which can be helpful for research in disciplines like Permanent magnet synchronous generator and Finite element method. It encompasses Permanent magnet synchronous motor studies in the context of Rotor (electric) as a whole.

The most cited articles from the last journal are:

  • Modelling of magnetostrictive vibration and acoustics in converter transformer (3 citations)
  • Extracting spatially global and local attentive features for rolling bearing fault diagnosis in electrical machines using attention stream networks (2 citations)
  • Comparison of rare-earth and hybrid-magnet mover configurations for a permanent magnet synchronous linear motor (2 citations)

Papers citation over time

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 Electric Power Applications (based on the number of publications) are:

  • Hao Chen (28 papers) absent at the last edition,
  • Jawad Faiz (26 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Zi-Qiang Zhu (26 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Tian-Hua Liu (22 papers) published 1 paper at the last edition,
  • Chris Gerada (20 papers) published 1 paper at the last edition, 4 less than at the previous edition.

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 Electric Power Applications (based on the number of publications) are:

  • Huazhong University of Science and Technology (23 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • University of Manchester (20 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Southeast University (17 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • National Taiwan University of Science and Technology (17 papers) published 1 paper at the last edition,
  • National Taiwan University (17 papers) absent at the last edition.

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.

Publication chance based on affiliation

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, 1.43% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 11.59% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.14% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.01% of all publications and 57.25% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Improved double-surface sliding mode observer for flux and speed estimation of induction motors

    Seyed Amir Mansouri;Amir Ahmarinejad;Mohammad Sadegh Javadi;Reza Heidari

    (2020)
    43 Citations
  • Predictive current control in electrical drives: an illustrated review with case examples using a five-phase induction motor drive with distributed windings

    Mario Bermúdez;Cristina Martín;Ignacio González-Prieto;Mario J. Durán

    (2020)
    31 Citations
  • Modified winding function-based model of squirrel cage induction motor for fault diagnostics

    Bilal Asad;Toomas Vaimann;Anouar Belahcen;Ants Kallaste

    (2020)
    30 Citations
  • Model-free adaptive discrete-time integral terminal sliding mode control for PMSM drive system with disturbance observer

    Yang Zhao;Xudong Liu;Haisheng Yu;Jinpeng Yu

    (2020)
    27 Citations
  • Application of simplified convolutional neural networks for initial stator winding fault detection of the PMSM drive using different raw signal data

    Maciej Skowron;Teresa Orlowska-Kowalska;Czeslaw T. Kowalski

    (2021)
    27 Citations
  • An overview of various faults detection methods in synchronous generators

    Mohsen Mostafaei;Jawad Faiz

    (2021)
    26 Citations
  • Induction motor fault detection based on multi-sensory control and wavelet analysis

    Ukashatu Abubakar;Saad Mekhilef;Khalaf S. Gaeid;Hazlie Mokhlis

    (2020)
    26 Citations
  • Analytical validation of novel consequent pole E-core stator permanent magnet flux switching machine

    Wasiq Ullah;Faisal Khan;Erwan Sulaiman;Muhammad Umair

    (2020)
    25 Citations
  • Design optimisation of an outer‐rotor permanent magnet synchronous hub motor for a low‐speed campus patrol EV

    Zhou Shi;Xiaodong Sun;Yingfeng Cai;Xiang Tian

    (2020)
    25 Citations
  • Fault coil location of inter-turn short-circuit for direct-drive permanent magnet synchronous motor using knowledge graph

    Ke Lv;Caixia Gao;Jikai Si;Haichao Feng

    (2020)
    23 Citations

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Best Scientists Contributing to This Journal