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IEEE Transactions on Smart Grid
H-index 91

IEEE Transactions on Smart Grid

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 11 398 1136 83
Engineering and Technology 37 113 392 63

Additional Metrics

Number of Best Scientists*: 643
Documents by Best Scientists*: 1483
Top 100 Ranked Scientists*: 24
SCIMAGO H-index: 253
SCIMAGO SJR: 4.608
Impact Factor: 9.8

Overview

Top Research Topics at IEEE Transactions on Smart Grid?

The primary areas of discussion in the journal are Smart grid, Electric power system, Mathematical optimization, Control theory and Microgrid. It facilitates discussions on Smart grid that incorporate concepts from other fields like Electricity, Demand response, Distributed computing, Energy management and Real-time computing. While work presented in IEEE Transactions on Smart Grid provided substantial information on Demand response, it also covered topics in Load management and Operations research.

IEEE Transactions on Smart Grid dives deep in exploring the relationship between the study of Electric power system and Reliability engineering. While Mathematical optimization is the key highlight in the journal, it also covered some subjects on Renewable energy and Energy storage. The journal focuses on Control theory but the discussions also offer insight into other areas such as Voltage droop and AC power, Voltage.

IEEE Transactions on Smart Grid focuses on AC power as well as the interrelated topic of Voltage regulation. The Voltage research presented in the journal explores the relationship between Electronic engineering and the closely related topic of Electrical engineering. Microgrid research presented in the journal encompasses a variety of subjects, including Control engineering, Distributed generation and Inverter.

  • Smart grid (22.54%)
  • Electric power system (21.24%)
  • Mathematical optimization (19.14%)

What are the most cited papers published in the journal?

  • Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid (2219 citations)
  • Trends in Microgrid Control (1611 citations)
  • Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments (1519 citations)

Research areas of the most cited articles at IEEE Transactions on Smart Grid:

The main points discussed in the most cited papers deal with Smart grid, Electric power system, Microgrid, Distributed generation and Mathematical optimization. The published papers address concerns in Smart grid which are intertwined with other disciplines, such as Distributed computing, Electricity, Demand response, Energy management and Real-time computing. While the primary focus in the journal publications is Distributed generation, they also dissect topics surrounding Energy storage and Renewable energy as a whole.

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 IEEE Transactions on Smart Grid (based on the number of publications) are:

  • Mohammad Shahidehpour (103 papers) published 9 papers at the last edition, 14 less than at the previous edition,
  • Jianhui Wang (73 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Josep M. Guerrero (64 papers) published 2 papers at the last edition, 4 less than at the previous edition,
  • Zhao Yang Dong (55 papers) published 7 papers at the last edition, 5 less than at the previous edition,
  • Zuyi Li (43 papers) published 8 papers at the last edition, 4 more 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 IEEE Transactions on Smart Grid (based on the number of publications) are:

  • Tsinghua University (213 papers) published 39 papers at the last edition, 6 more than at the previous edition,
  • Illinois Institute of Technology (166 papers) published 26 papers at the last edition, 4 less than at the previous edition,
  • Aalborg University (110 papers) published 15 papers at the last edition, 4 more than at the previous edition,
  • University of Waterloo (97 papers) published 10 papers at the last edition, 7 more than at the previous edition,
  • Zhejiang University (97 papers) published 14 papers at the last edition, 8 less than at the previous 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, 11.24% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.55% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.24% of all publications and 35.84% 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

  • Peer-to-Peer Trading in Electricity Networks: An Overview

    Wayes Tushar;Tapan Kumar Saha;Chau Yuen;David Smith

    (2020)
    665 Citations
  • A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids

    Ahmed S. Musleh;Guo Chen;Zhao Yang Dong

    (2020)
    633 Citations
  • Adaptive Power System Emergency Control Using Deep Reinforcement Learning

    Qiuhua Huang;Renke Huang;Weituo Hao;Jie Tan

    (2020)
    376 Citations
  • A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management

    Xu Xu;Youwei Jia;Yan Xu;Zhao Xu

    (2020)
    370 Citations
  • Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning

    Hepeng Li;Zhiqiang Wan;Haibo He

    (2020)
    370 Citations
  • Intelligent Multi-Microgrid Energy Management Based on Deep Neural Network and Model-Free Reinforcement Learning

    Yan Du;Fangxing Li

    (2020)
    359 Citations
  • Low-Carbon Operation of Multiple Energy Systems Based on Energy-Carbon Integrated Prices

    Yaohua Cheng;Ning Zhang;Baosen Zhang;Chongqing Kang

    (2020)
    358 Citations
  • Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach

    Kelvin Anoh;Sabita Maharjan;Augustine Ikpehai;Yan Zhang

    (2020)
    319 Citations
  • Grid Influenced Peer-to-Peer Energy Trading

    Wayes Tushar;Tapan Kumar Saha;Chau Yuen;Thomas Morstyn

    (2020)
    295 Citations

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Best Scientists Contributing to This Journal

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