World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7442
World Ranking
9670
National Ranking
280

Mathematics

D-Index
39
Citations
7466
World Ranking
2163
National Ranking
60

Stefano Lucidi publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Stefano Lucidi sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 162 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Stefano Lucidi D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Stefano Lucidi sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 39 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Stefano Lucidi is affiliated with Sapienza University of Rome in Italy. Their research spans several intersecting fields including Computer Science, Mathematics, and Engineering, with a significant focus on Numerical Analysis, Computational Theory and Mathematics, and Control and Systems Engineering alongside Artificial Intelligence and Computational Mechanics.

Their primary research topics include Advanced Optimization Algorithms Research, Optimization and Variational Analysis, Advanced Multi-Objective Optimization Algorithms, Sparse and Compressive Sensing Techniques, Advanced Control Systems Optimization, Iterative Methods for Nonlinear Equations, and Metaheuristic Optimization Algorithms Research.

Lucidi has published in a variety of academic venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Computational Optimization and Applications
  • Journal of Optimization Theory and Applications
  • Optimization Letters
  • Mathematics

Some recent papers authored or co-authored by Lucidi include:

  • "On the convergence of steepest descent methods for multiobjective optimization" (2020), Computational Optimization and Applications
  • "Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches" (2020), Mathematics
  • "An algorithmic framework based on primitive directions and nonmonotone line searches for black-box optimization problems with integer variables" (2020), Mathematical Programming Computation
  • "Machine Learning-Based Classification to Disentangle EEG Responses to TMS and Auditory Input" (2023), Brain Sciences
  • "A simulation-based optimization approach for the calibration of a discrete event simulation model of an emergency department" (2022), Annals of Operations Research

Lucidi frequently collaborates with a selected group of co-authors, including:

  • Giampaolo Liuzzi
  • Francesco Rinaldi
  • Andrea Cristofari
  • Alberto De Santis
  • Marianna De Santis

The scientist's work primarily contributes to the development and improvement of optimization algorithms, including deterministic particle swarm techniques, multi-objective algorithms, and novel algorithmic frameworks for black-box optimization problems. Their research also explores applications of machine learning in neuroscience as well as simulation-based optimization for healthcare systems.

Best Publications

  • A nonmonotone line search technique for Newton's method

    L Grippo;F Lampariello;S Lucidi

  • Solving the Trust-Region Subproblem using the Lanczos Method

    Nicholas I. M. Gould;Stefano Lucidi;Massimo Roma;Philippe L. Toint

  • A globally convergent version of the Polak-Ribière conjugate gradient method

    L. Grippo;S. Lucidi

  • A truncated Newton method with nonmonotone line search for unconstrained optimization

    L. Grippo;F. Lampariello;S. Lucidi

  • A class of nonmonotone stabilization methods in unconstrained optimization

    L. Grippo;F. Lampariello;S. Lucidi

  • A Mathematical Programming Approach for the Solution of the Railway Yield Management Problem

    A. Ciancimino;G. Inzerillo;S. Lucidi;L. Palagi

  • Finite-Element-Based Multiobjective Design Optimization Procedure of Interior Permanent Magnet Synchronous Motors for Wide Constant-Power Region Operation

    F. Parasiliti;M. Villani;S. Lucidi;F. Rinaldi

  • Quadratically and superlinearly convergent algorithms for the solution of inequality constrained minimization problems

    F. Facchinei;S. Lucidi

  • On the Global Convergence of Derivative-Free Methods for Unconstrained Optimization

    Stefano Lucidi;Marco Sciandrone

  • New global optimization methods for ship design problems

    Emilio Fortunato Campana;Giampaolo Liuzzi;Stefano Lucidi;Daniele Peri

  • A Derivative-Free Algorithm for Bound Constrained Optimization

    Stefano Lucidi;Marco Sciandrone

  • New Classes of Globally Convexized Filled Functions for Global Optimization

    S. Lucidi;V. Piccialli

  • A smooth method for the finite minimax problem

    G. Di Pillo;L. Grippo;S. Lucidi

  • A New Version of the Price‘s Algorithm for Global Optimization

    P. Brachetti;M. De Felice Ciccoli;G. Di Pillo;S. Lucidi

  • Multiobjective optimization techniques for the design of induction motors

    G. Liuzzi;S. Lucidi;F. Parasiliti;M. Villani

  • Objective-derivative-free methods for constrained optimization

    Stefano Lucidi;Marco Sciandrone;Paul Tseng

  • An Augmented Lagrangian Function with Improved Exactness Properties

    Gianni Di Pillo;Stefano Lucidi

  • Random tunneling by means of acceptance-rejection sampling for global optimization

    S. Lucidi;M. Piccioni

  • Sequential Penalty Derivative-Free Methods for Nonlinear Constrained Optimization

    Giampaolo Liuzzi;Stefano Lucidi;Marco Sciandrone

  • New Results on a Continuously Differentiable Exact Penalty Function

    Stefano Lucidi

  • SOLVING THE TRUST-REGION SUBPROBLEM USING THE

    Nicholas I. M. Gould;Stefano Lucidi;Massimo Roma;Philippe L. Toint

Frequent Co-Authors

Francisco Facchinei
Francisco Facchinei Sapienza University of Rome
Nicholas I. M. Gould
Nicholas I. M. Gould University of Oxford
Philippe L. Toint
Philippe L. Toint University of Namur
Michael C. Ferris
Michael C. Ferris University of Wisconsin–Madison
Chih-Jen Lin
Chih-Jen Lin National Taiwan University
Luís Nunes Vicente
Luís Nunes Vicente Lehigh University
Paul Tseng
Paul Tseng University of Washington
Maria Antonietta Ricci
Maria Antonietta Ricci Roma Tre University

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