World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
8117
World Ranking
7569
National Ranking
271

Overview

Marco Ariola is affiliated with Parthenope University of Naples in Italy and has contributed extensively to research in engineering and physics, particularly in the fields of magnetic confinement fusion and nuclear reactor physics.

Their recent publications cover several core topics in fusion science and plasma physics. Notable papers include:

  • Overview of JET results for optimising ITER operation, 2022, Nuclear Fusion
  • Enhanced performance in fusion plasmas through turbulence suppression by megaelectronvolt ions, 2022, Nature Physics
  • Overview of T and D-T results in JET with ITER-like wall, 2024, Nuclear Fusion
  • Disruption prediction with artificial intelligence techniques in tokamak plasmas, 2022, Nature Physics
  • Divertor Tokamak Test facility project: status of design and implementation, 2024, Nuclear Fusion

Ariola has frequently collaborated with a group of researchers in their field. Frequent coauthors include Gaetano Tartaglione, R. Ambrosino, E. Alessi, F. Auriemma, and M. Baruzzo.

The scholar has published predominantly in several high-impact venues, with repeated contributions particularly to Fusion Engineering and Design, Nuclear Fusion, and Nature Physics. Other journals featuring their work include the International Journal of Dynamics and Control and Nature Communications.

Their main fields of study are engineering and physics and astronomy. Within these areas, subfields of focus include nuclear and high energy physics, aerospace engineering, materials chemistry, control and systems engineering, and biomedical engineering.

The primary research topics addressed in their work are:

  • Magnetic confinement fusion research
  • Fusion materials and technologies
  • Superconducting materials and applications
  • Nuclear reactor physics and engineering
  • Particle accelerators and beam dynamics
  • Stability and control of uncertain systems
  • Anomaly detection techniques and applications

Best Publications

  • Technical Communique: Finite-time control of linear systems subject to parametric uncertainties and disturbances

    Francesco Amato;Marco Ariola;Peter Dorato

  • Technical communique: Finite-time stabilization via dynamic output feedback

    Francesco Amato;Marco Ariola;Carlo Cosentino

  • Finite-time control of discrete-time linear systems

    F. Amato;M. Ariola

  • Technical communique: Finite-time stability of linear time-varying systems with jumps

    Francesco Amato;Roberto Ambrosino;Marco Ariola;Carlo Cosentino

  • Finite-Time Stability of Linear Time-Varying Systems: Analysis and Controller Design

    F. Amato;M. Ariola;C. Cosentino

  • Brief paper: Finite-time control of discrete-time linear systems: Analysis and design conditions

    Francesco Amato;Marco Ariola;Carlo Cosentino

  • Finite-Time Stability and Control

    Francesco Amato;Roberto Ambrosino;Marco Ariola;Carlo Cosentino

  • Magnetic Control of Tokamak Plasmas

    Marco Ariola;Alfredo Pironti

  • Overview of the JET results in support to ITER

    X. Litaudon;S. Abduallev;M. Abhangi;P. Abreu

  • Overview of JET results for optimising ITER operation

    Unknown

  • Path Generation and Tracking in 3-D for UAVs

    G. Ambrosino;M. Ariola;U. Ciniglio;F. Corraro

  • Overview of the JET preparation for deuterium–tritium operation with the ITER like-wall

    E. Joffrin;S. Abduallev;M. Abhangi;P. Abreu

  • Necessary and sufficient conditions for finite-time stability of linear systems

    F. Amato;M. Ariola;C. Cosentino;C.T. Abdallah

  • A two-time-scale dynamic-model approach for magnetic and kinetic profile control in advanced tokamak scenarios on JET

    D. Moreau;D. Mazon;M. Ariola;G. De Tommasi

  • Diagnostics for plasma control - : From ITER to DEMO

    Wolfgang Biel;Wolfgang Biel;R. Albanese;R. Ambrosino;M. Ariola

  • Improved sample complexity estimates for statistical learning control of uncertain systems

    V. Koltchinskii;C.T. Abdallah;M. Ariola;P. Dorato

  • Disruption prediction with artificial intelligence techniques in tokamak plasmas

    Unknown

  • A model-based technique for integrated real-time profile control in the JET tokamak

    L Laborde;D Mazon;D Moreau;A Murari

  • Overview of progress in European medium sized tokamaks towards an integrated plasma-edge/wall solution

    H. Meyer;T. Eich;M. Beurskens;S. Coda

  • Integrated scenario in JET using real-time profile control

    E. Joffrin;F. Crisanti;R. Felton;X. Litaudon

  • Overview of the JET results

    F. Romanelli;M. Abhangi;P. Abreu;M. Aftanas

  • Plasma shape control for the JET tokamak: an optimal output regulation approach

    M. Ariola;A. Pironti

Frequent Co-Authors

Francesco Amato
Francesco Amato University of Naples Federico II
Raffaele Albanese
Raffaele Albanese University of Naples Federico II
Fabio Villone
Fabio Villone University of Naples Federico II
Massimiliano Mattei
Massimiliano Mattei University of Naples Federico II
A. Kallenbach
A. Kallenbach Max Planck Society
Chaouki T. Abdallah
Chaouki T. Abdallah Georgia Institute of Technology
R. Dux
R. Dux Max Planck Society
C. Angioni
C. Angioni Max Planck Society
S. Brezinsek
S. Brezinsek Forschungszentrum Jülich

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