World's Best Scientists 2026 revealed!
Marco Locatelli

Marco Locatelli

D-Index & Metrics

Mathematics

D-Index
38
Citations
4583
World Ranking
2396
National Ranking
73

Computer Science

D-Index
38
Citations
4657
World Ranking
10400
National Ranking
320

Marco Locatelli 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 Marco Locatelli 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: 83 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: 156 publications — 41st percentile

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

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

Marco Locatelli 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 Marco Locatelli 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: 138 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: 38 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Marco Locatelli is affiliated with the University of Parma in Italy and specializes in research spanning engineering, computer science, and medicine. Their work notably focuses on subfields such as industrial and manufacturing engineering, computer vision and pattern recognition, neurology, numerical analysis, and computational theory and mathematics.

The research topics frequently addressed include robotic path planning algorithms, advanced manufacturing and logistics optimization, advanced optimization algorithms research, scheduling and optimization algorithms, optimization and packing problems, optimization and search problems, and vehicle routing optimization methods.

The publication record includes papers in several renowned venues with multiple contributions. Frequent venues for publication include:

  • arXiv (Cornell University)
  • Computational Optimization and Applications
  • EURO Journal on Computational Optimization
  • IEEE Transactions on Automation Science and Engineering
  • IEEE Transactions on Automatic Control

Selected recent papers authored or coauthored by Marco Locatelli are:

  • (Global) Optimization: Historical notes and recent developments, 2021, EURO Journal on Computational Optimization
  • A solution of the minimum-time speed planning problem based on lattice theory, 2020, Journal of the Franklin Institute
  • A Graph-Based Algorithm for Optimal Control of Switched Systems: An Application to Car Parking, 2021, IEEE Transactions on Automatic Control
  • A Sequential Algorithm for Jerk Limited Speed Planning, 2021, IEEE Transactions on Automation Science and Engineering
  • Computing mixed strategies equilibria in presence of switching costs by the solution of nonconvex QP problems, 2021, IRIS Research product catalog (Sapienza University of Rome)

Frequent coauthors collaborating with Marco Locatelli include:

  • Luca Consolini
  • Mattia Laurini
  • Stefano Ardizzoni
  • Manuel Iori
  • Giorgio Fiore

Best Publications

  • Packing equal circles in a square: a deterministic global optimization approach

    Marco Locatelli;Ulrich Raber

  • Simulated annealing algorithms for continuous global optimization: convergence conditions

    M. Locatelli

  • Global Optimization: Theory, Algorithms, and Applications

    Marco Locatelli;Fabio Schoen

  • Bayesian Algorithms for One-Dimensional GlobalOptimization

    M. Locatelli

  • Finding maximin latin hypercube designs by Iterated Local Search heuristics

    Andrea Grosso;A. R. M. J. U. Jamali;Marco Locatelli

  • A Note on the Griewank Test Function

    M. Locatelli

  • An Inflationary Differential Evolution Algorithm for Space Trajectory Optimization

    M Vasile;E Minisci;M Locatelli

  • Branch and cut algorithms for detecting critical nodes in undirected graphs

    Marco Di Summa;Andrea Grosso;Marco Locatelli

  • Simple ingredients leading to very efficient heuristics for the maximum clique problem

    Andrea Grosso;Marco Locatelli;Wayne Pullan

  • 2009 IEEE Congress on evolutionary computation

    Massimiliano Vasile;Edmondo Minisci;M Locatelli

  • Complexity of the critical node problem over trees

    Marco Di Summa;Andrea Grosso;Marco Locatelli

  • A global optimization method for the design of space trajectories

    Bernardetta Addis;Andrea Cassioli;Marco Locatelli;Fabio Schoen

  • Solving the problem of packing equal and unequal circles in a circular container

    A. Grosso;A. R. Jamali;M. Locatelli;F. Schoen

  • Simulated Annealing Algorithms for Continuous Global Optimization

    Marco Locatelli

  • A Population-based Approach for Hard Global Optimization Problems based on Dissimilarity Measures

    Andrea Grosso;Marco Locatelli;Fabio Schoen

  • Analysis of Some Global Optimization Algorithms for Space Trajectory Design

    Massimiliano Vasile;Edmondo Minisci;Marco Locatelli

  • Global Optimization of Morse Clusters by Potential Energy Transformations

    Jonathan P. K. Doye;Robert H. Leary;Marco Locatelli;Fabio Schoen

  • Efficient Algorithms for Large Scale Global Optimization: Lennard-Jones Clusters

    Marco Locatelli;Fabio Schoen

  • A hybrid multiagent approach for global trajectory optimization

    Massimiliano Vasile;Marco Locatelli

  • New and old bounds for standard quadratic optimization: dominance, equivalence and incomparability

    Immanuel M. Bomze;Marco Locatelli;Fabio Tardella

  • Convergence of a Simulated Annealing Algorithm for Continuous Global Optimization

    M. Locatelli

Frequent Co-Authors

Massimiliano Vasile
Massimiliano Vasile University of Strathclyde
Immanuel M. Bomze
Immanuel M. Bomze University of Vienna
Alberto Caprara
Alberto Caprara University of Bologna
Marcello Pelillo
Marcello Pelillo Ca Foscari University of Venice
Michele Monaci
Michele Monaci University of Bologna
Jonathan P. K. Doye
Jonathan P. K. Doye University of Oxford
Zhi-Quan Luo
Zhi-Quan Luo Chinese University of Hong Kong, Shenzhen
Manuel Iori
Manuel Iori University of Modena and Reggio Emilia
Dario Izzo
Dario Izzo European Space Agency

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