World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
7924
World Ranking
4907
National Ranking
145

Raffaele Albanese 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 Raffaele Albanese 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: 317 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Raffaele Albanese 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 Raffaele Albanese 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: 47 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Raffaele Albanese is affiliated with the University of Naples Federico II in Italy. Their research spans the fields of Physics and Astronomy, with a strong focus on Nuclear and High Energy Physics, while also encompassing Engineering disciplines and subfields such as Materials Chemistry, Biomedical Engineering, Aerospace Engineering, and Electrical and Electronic Engineering.

Their work principally addresses areas including magnetic confinement fusion research, particle physics (both theoretical and experimental studies), fusion materials and technologies, superconducting materials and applications, particle detector development and performance, neutrino physics research, and particle accelerators and beam dynamics.

Albanese has contributed to multiple publications, predominantly appearing in notable venues such as Fusion Engineering and Design, Nuclear Fusion, the Journal of Instrumentation, The European Physical Journal C, and Energies.

Recent significant papers include:

  • Overview of T and D-T results in JET with ITER-like wall, 2024, Nuclear Fusion
  • 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
  • Disruption prediction with artificial intelligence techniques in tokamak plasmas, 2022, Nature Physics
  • Assessment of alternative divertor configurations as an exhaust solution for DEMO, 2020, Nuclear Fusion

Frequent co-authors include R. Ambrosino, A. Alexandrov, S. Buontempo, C. Betancourt, and W. Bonivento, each of whom has collaborated extensively with Albanese across a range of publications.

The breadth of Albanese's research indicates sustained involvement in the development and optimization of fusion plasma technologies, as well as particle physics instrumentation and applications. Their publication record reflects collaboration within a multidisciplinary team and contributions to highly specialized scientific journals within the fusion and high-energy physics communities.

Best Publications

  • The linearized CREATE-L plasma response model for the control of current, position and shape in tokamaks

    R. Albanese;F. Villone

  • Integral formulation for 3D eddy-current computation using edge elements

    R. Albanese;G. Rubinacci

  • Principal Physics Developments Evaluated in the ITER Design Review

    R. J. Hawryluk;D. J. Campbell;G. Janeschitz;P. R. Thomas

  • Finite Element Methods for the Solution of 3D Eddy Current Problems

    R. Albanese;G. Rubinacci

  • Overview of the JET results in support to ITER

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

  • Magnetostatic field computations in terms of two‐component vector potentials

    R. Albanese;G. Rubinacci

  • Advances in the Physics Basis for the European DEMO Design

    R. Wenninger;F. Arbeiter;J. Aubert;L. Aho-Mantila

  • Overview of JET results for optimising ITER operation

    Unknown

  • Solution of three dimensional eddy current problems by integral and differential methods

    R. Albanese;G. Rubinacci

  • Sensitivity of the SHiP experiment to Heavy Neutral Leptons

    C. Ahdida;R. Albanese;A. Alexandrov;A. Anokhina

  • CREATE-NL+: A robust control-oriented free boundary dynamic plasma equilibrium solver

    R. Albanese;R. Ambrosino;M. Mattei

  • Formulation of the eddy-current problem

    R. Albanese;G. Rubinacci

  • The DEMO wall load challenge

    R. Wenninger;R. Albanese;R. Ambrosino;Frederik Arbeiter

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

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

  • Magnetic control of plasma current, position, and shape in Tokamaks: a survey or modeling and control approaches

    G. Ambrosino;R. Albanese

  • Diagnostics for plasma control - : From ITER to DEMO

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

  • The Fusion Advanced Studies Torus (FAST): a proposal for an ITER satellite facility in support of the development of fusion energy

    A. Pizzuto;F. Gnesotto;M. Lontano;R. Albanese

  • Linearly perturbed MHD equilibria and 3D eddy current coupling via the control surface method

    A. Portone;F. Villone;Yueqiang Liu;R. Albanese

  • 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

  • An Integral Computational Model for Crack Simulation and Detection via Eddy Currents

    Raffaele Albanese;Guglielmo Rubinacci;Fabio Villone

  • Plasma modelling for the control of vertical instabilities in tokamaks

    R. Albanese;E. Coccorese;G. Rubinacci

  • Overview of the JET results

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

Frequent Co-Authors

Fabio Villone
Fabio Villone University of Naples Federico II
Massimiliano Mattei
Massimiliano Mattei University of Naples Federico II
Marco Ariola
Marco Ariola Parthenope University of Naples
A. Kallenbach
A. Kallenbach Max Planck Society
S. Brezinsek
S. Brezinsek Forschungszentrum Jülich
Peter Lang
Peter Lang University of Bern
V. Riccardo
V. Riccardo European Atomic Energy Community
C. Angioni
C. Angioni Max Planck Society
R. Dux
R. Dux Max Planck Society

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 Raffaele Albanese

Trending Scientists