World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
8117
World Ranking
7571
National Ranking
271

Marco Ariola publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Marco Ariola sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 235 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Marco Ariola D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Marco Ariola sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Marco Ariola

Trending Scientists

Recently Published Articles