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Electric Power Systems Research
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Electric Power Systems Research

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 52 377 972 46
Engineering and Technology 181 135 277 33

Additional Metrics

Number of Best Scientists*: 662
Documents by Best Scientists*: 1329
Top 100 Ranked Scientists*: 13
SCIMAGO H-index: 153
SCIMAGO SJR: 1.137
Impact Factor: 4.2

Overview

Top Research Topics at Electric Power Systems Research?

Control theory, Electric power system, Electronic engineering, Voltage and Mathematical optimization are the subjects of interest in the journal. The research on Control theory featured in the journal combines topics in other fields like Control engineering, Fault (power engineering) and Power (physics), AC power. Issues in Electric power system were discussed, taking into consideration concepts from other disciplines like Electrical network, Reliability engineering, Grid, Algorithm and Transient (oscillation).

Electric Power Systems Research focused on Reliability engineering research but expanded to cover Reliability (statistics). In addition to Electronic engineering research, Electric Power Systems Research aims to explore topics under Transmission line, Harmonics, Electric power transmission and Harmonic. Voltage studies covered in it falls within the purview of Electrical engineering.

The study on Electrical engineering featured in the journal expounds on the topic of Transformer in particular. The main emphasis of the journal is the subject of Mathematical optimization, focusing on Optimization problem.

  • Control theory (32.43%)
  • Electric power system (28.11%)
  • Electronic engineering (17.99%)

What are the most cited papers published in the journal?

  • Distributed generation : a definition (1900 citations)
  • A summary of demand response in electricity markets (1304 citations)
  • Battery Energy Storage Technology for power systems-An overview (1213 citations)

Research areas of the most cited articles at Electric Power Systems Research:

The journal articles facilitate discussions on Control theory, Electric power system, Mathematical optimization, Electronic engineering and Electrical network. The journal publications explore topics in Control theory which can be helpful for research in disciplines like Control engineering and AC power, Voltage. The most cited papers tackle topics on Electric power system, which can potentially contribute to the wider field of Power (physics).

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

  • Artificial intelligence
  • Statistics
  • Electrical engineering

The previous edition focused in particular on these issues:

The foci of Electric Power Systems Research are Power (physics), Control theory, Electric power transmission, Electric power system and Reliability engineering. Power (physics) research featured in the journal incorporates concerns from various other topics such as Electrical network, Hessian matrix and Energy management. The studies in Control theory featured incorporate elements of Fault (power engineering), Fault detection and isolation, Voltage and Power Balance.

The studies in Sequential monte carlo simulation under the umbrella field of Electric power system overlap with concepts in Spectrum analysis. Aside from discussions in Reliability engineering, it also deals with the subject of Renewable energy which intersects with Scheduling (production processes), Software deployment and Reduction (complexity) disciplines. It explores topics in Flexibility (engineering) which can be helpful for research in disciplines like Automotive engineering and Mathematical optimization.

The most cited articles from the last journal are:

  • A flexible and reliable method for spectrum analysis of large-scale power systems (0 citations)
  • Saturated load forecasting based on clustering and logistic iterative regression (0 citations)
  • Clustering of transformer condition using frequency response analysis based on k-means and GOA (0 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 Electric Power Systems Research (based on the number of publications) are:

  • Matti Lehtonen (34 papers) absent at the last edition,
  • Jean Mahseredjian (34 papers) absent at the last edition,
  • Elham B. Makram (34 papers) absent at the last edition,
  • Magdy M. A. Salama (32 papers) absent at the last edition,
  • Math Bollen (29 papers) absent at the last 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 Electric Power Systems Research (based on the number of publications) are:

  • University of São Paulo (94 papers) absent at the last edition,
  • Tsinghua University (94 papers) absent at the last edition,
  • Electric Power Research Institute (88 papers) absent at the last edition,
  • Nanyang Technological University (79 papers) absent at the last edition,
  • King Fahd University of Petroleum and Minerals (74 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 2022 edition, 17.78% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.11% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.22% of all publications and 67.57% 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

  • A comprehensive review of cyber-attacks and defense mechanisms for improving security in smart grid energy systems: Past, present and future

    Unknown

    (2023)
    570 Citations
  • Current limiting algorithms and transient stability analysis of grid-forming VSCs

    Taoufik Qoria;François Gruson;Fréderic Colas;Xavier Kestelyn

    (2020)
    211 Citations
  • Fundamentals of power systems modelling in the presence of converter-interfaced generation

    Mario Paolone;Trevor Gaunt;Xavier Guillaud;Marco Liserre

    (2020)
    193 Citations
  • Power systems optimization under uncertainty: A review of methods and applications

    (2023)
    189 Citations
  • Power system frequency control: An updated review of current solutions and new challenges

    Hassan Bevrani;Hêmin Golpîra;Arturo Román Messina;Nikos Hatziargyriou

    (2021)
    186 Citations
  • Convolutional and recurrent neural network based model for short-term load forecasting

    Hosein Eskandari;Maryam Imani;Mohsen Parsa Moghaddam

    (2021)
    180 Citations
  • A Review on TSO-DSO Coordination Models and Solution Techniques

    Arthur Gonçalves Givisiez;Kyriacos Petrou;Luis F. Ochoa;Luis F. Ochoa

    (2020)
    169 Citations
  • A novel fuzzy-based ensemble model for load forecasting using hybrid deep neural networks

    George Sideratos;Andreas Ikonomopoulos;Nikos D. Hatziargyriou

    (2020)
    152 Citations
  • Joint bagged-boosted artificial neural networks: Using ensemble machine learning to improve short-term electricity load forecasting

    A.S. Khwaja;A. Anpalagan;M. Naeem;B. Venkatesh

    (2020)
    142 Citations
  • Self attention convolutional neural network with time series imaging based feature extraction for transmission line fault detection and classification

    Shahriar Rahman Fahim;Yeahia Sarker;Subrata K. Sarker;Md. Rafiqul Islam Sheikh

    (2020)
    126 Citations

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