World's Best Scientists 2026 revealed!
Wind Energy
H-index 31

Wind Energy

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 134 34 120 19
Engineering and Technology 328 32 101 24
Environmental Sciences 534 13 22 9

Additional Metrics

Number of Best Scientists*: 119
Documents by Best Scientists*: 316
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 118
SCIMAGO SJR: 1.189
Impact Factor: 3.3

Overview

Top Research Topics at Wind Energy?

The scientific interests tackled in the journal are Wind power, Turbine, Marine engineering, Meteorology and Wind speed. The works on Wind power deal in particular with Offshore wind power. The research on Offshore wind power discussed in Wind Energy draws on the closely related field of Submarine pipeline.

Topics in Turbine explored in it were investigated in conjunction with research in Wake, Mechanics, Aerodynamics, Control theory and Structural engineering. The journal focuses on Wake research as part of the broader topic of Aerospace engineering. While Aerodynamics is the focus of the journal, it also provided insights into the studies of Airfoil and Stall (fluid mechanics).

Control theory is a primary topic of Control theory research in it. While work presented in the journal provided substantial information on Structural engineering, it also covered topics in Turbine blade and Aeroelasticity. The study on Wind speed presented is investigated in conjunction with research in Atmospheric sciences.

  • Wind power (43.89%)
  • Turbine (37.90%)
  • Marine engineering (18.84%)

What are the most cited papers published in the journal?

  • Beyond NIMBYism: Towards an integrated framework for understanding public perceptions of wind energy (875 citations)
  • Individual Blade Pitch Control for Load Reduction (523 citations)
  • Analytical modelling of wind speed deficit in large offshore wind farms (489 citations)

Research areas of the most cited articles at Wind Energy:

The journal papers generally zeroe in on subjects such as Wind power, Turbine, Meteorology, Wind speed and Wake. The most cited publications emphasize research on Wind power, which includes concerns such as Offshore wind power. The most cited papers explore issues in Turbine which can be linked to other research areas like Structural engineering, Mechanics, Aerodynamics and Control theory.

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

  • Statistics
  • Electrical engineering
  • Mechanical engineering

The previous edition focused in particular on these issues:

The discussions in Wind Energy mainly cover the fields of Wind power, Marine engineering, Turbine, Offshore wind power and Meteorology. The presented research on Wind power deals specifically with Reliability (statistics) but it also addresses topics in Reliability engineering. While Marine engineering is the key highlight in the journal, it also covered some subjects on Turbine blade and Composite number, Probabilistic logic, Structural engineering, Leading edge and Aerodynamics.

Turbine research presented in Wind Energy encompasses a variety of subjects, including Acoustics, Control theory, Support vector machine, Mechanics and Erosion. The Control theory research presented in it explores the relationship between Control (management) and the closely related topic of Yaw control. The work on Mechanics tackled in the journal brings together disciplines like Surface finish and Rotor (electric).

The most cited articles from the last journal are:

  • Review of control strategy of large horizontal-axis wind turbines yaw system (13 citations)
  • Combining SCADA and vibration data into a single anomaly detection model to predict wind turbine component failure (6 citations)
  • Data analysis and simulation of the Lillgrund wind farm (5 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 Wind Energy (based on the number of publications) are:

  • Niels N. Sørensen (46 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Jens Nørkær Sørensen (27 papers) absent at the last edition,
  • Rebecca Jane Barthelmie (24 papers) absent at the last edition,
  • Torgeir Moan (19 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Christian Bak (18 papers) published 2 papers at the last edition, 1 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 Wind Energy (based on the number of publications) are:

  • Technical University of Denmark (206 papers) published 13 papers at the last edition, 1 more than at the previous edition,
  • Delft University of Technology (107 papers) published 6 papers at the last edition, 4 less than at the previous edition,
  • National Renewable Energy Laboratory (95 papers) published 11 papers at the last edition, 7 more than at the previous edition,
  • Norwegian University of Science and Technology (62 papers) published 5 papers at the last edition, 1 less than at the previous edition,
  • United States Department of Energy (54 papers) published 1 paper 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, 5.98% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 38.18% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.55% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.91% of all publications and 46.36% 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

  • The effect of resin uptake on the flexural properties of compression molded sandwich composites

    Dongyang Cao;Sadeq Malakooti;Sadeq Malakooti;Vijay N. Kulkarni;Yao Ren

    (2021)
    218 Citations
  • Costs of repair of wind turbine blades: Influence of technology aspects

    Leon Mishnaevsky;Kenneth Thomsen

    (2020)
    140 Citations
  • Offshore wind farm wake recovery: Airborne measurements and its representation in engineering models

    Beatriz Cañadillas;Richard Foreman;Volker Barth;Simon Siedersleben

    (2020)
    120 Citations
  • The helix approach: Using dynamic individual pitch control to enhance wake mixing in wind farms

    Joeri Alexis Frederik;Bart Matthijs Doekemeijer;Sebastiaan Paul Mulders;Jan-Willem van Wingerden

    (2020)
    100 Citations
  • Multimodel validation of single wakes in neutral and stratified atmospheric conditions

    Paula Doubrawa;Eliot W. Quon;Luis A. Martinez-Tossas;Kelsey Shaler

    (2020)
    98 Citations
  • Author response for "Multimodel validation of single wakes in neutral and stratified atmospheric conditions"

    Paula Doubrawa;Eliot W. Quon;Luis A. Martinez‐Tossas;Kelsey Shaler

    (2020)
    68 Citations
  • A new wake-merging method for wind-farm power prediction in the presence of heterogeneous background velocity fields

    Luca Lanzilao;Johan Meyers

    (2021)
    64 Citations
  • A new tip correction for actuator line computations

    Kaya Onur Dağ;Jens Nørkær Sørensen

    (2020)
    58 Citations

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Best Scientists Contributing to This Journal