World's Best Scientists 2026 revealed!
Francisco Facchinei

Francisco Facchinei

D-Index & Metrics

Mathematics

D-Index
44
Citations
15190
World Ranking
1531
National Ranking
41

Computer Science

D-Index
44
Citations
15186
World Ranking
7387
National Ranking
191

Francisco Facchinei 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 Francisco Facchinei 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: 117 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Francisco Facchinei 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 Francisco Facchinei 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: 44 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Francisco Facchinei is affiliated with Sapienza University of Rome in Italy. Their research spans across several interrelated fields, predominantly in Computer Science, Engineering, and Mathematics. The subfields connected to their work include Computational Mechanics, Artificial Intelligence, Numerical Analysis, Computational Theory and Mathematics, and Epidemiology.

The scientist's research focuses on topics such as Sparse and Compressive Sensing Techniques, Stochastic Gradient Optimization Techniques, Advanced Optimization Algorithms Research, Optimization and Variational Analysis, Complexity and Algorithms in Graphs, as well as Liver Disease and Transplantation and its diagnosis and treatment.

Recent publications by Facchinei demonstrate a concentration on optimization theory and applications. Notable papers include:

  • Asynchronous parallel algorithms for nonconvex optimization, 2020, IRIS Research product catalog (Sapienza University of Rome)
  • Ghost penalties in nonconvex constrained optimization: Diminishing stepsizes and iteration complexity, 2021, Iris (Roma Tre University)
  • Ghost Penalties in Nonconvex Constrained Optimization: Diminishing Stepsizes and Iteration Complexity, 2021, Mathematics of Operations Research
  • Deep Neural Network Regression to Assist Non-Invasive Diagnosis of Portal Hypertension, 2023, Healthcare
  • Diminishing stepsize methods for nonconvex composite problems via ghost penalties: from the general to the convex regular constrained case, 2020, Optimization Methods & Software

Frequent coauthors associated with their work include Vyacheslav Kungurtsev, Gesualdo Scutari, Lorenzo Lampariello, Loris Cannelli, and Federico Baldisseri. This reflects a collaborative approach across multiple research areas within computational optimization and applied problem domains.

The scientist frequently publishes in venues such as IRIS Research product catalog (Sapienza University of Rome), arXiv (Cornell University), Iris (Roma Tre University), Healthcare, and Optimization Methods & Software. These venues align with their multi-disciplinary methodology combining theoretical and applied research.

Best Publications

  • Finite-Dimensional Variational Inequalities and Complementarity Problems

    Francisco Facchinei;Jong-Shi Pang

  • Generalized Nash equilibrium problems

    Francisco Facchinei;Christian Kanzow

  • A semismooth equation approach to the solution of nonlinear complementarity problems

    Tecla De Luca;Francisco Facchinei;Christian Kanzow

  • A smoothing method for mathematical programs with equilibrium constraints

    Francisco Facchinei;Houyuan Jiang;Liqun Qi

  • Convex Optimization, Game Theory, and Variational Inequality Theory

    Gesualdo Scutari;Daniel Palomar;Francisco Facchinei;Jong-shi Pang

  • On generalized Nash games and variational inequalities

    Francisco Facchinei;Andreas Fischer;Veronica Piccialli

  • A New Merit Function For Nonlinear Complementarity Problems And A Related Algorithm

    Francisco Facchinei;João Soares

  • Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems

    Gesualdo Scutari;Francisco Facchinei;Peiran Song;Daniel P. Palomar

  • Parallel and Distributed Methods for Constrained Nonconvex Optimization—Part I: Theory

    Gesualdo Scutari;Francisco Facchinei;Lorenzo Lampariello

  • Design of Cognitive Radio Systems Under Temperature-Interference Constraints: A Variational Inequality Approach

    Jong-Shi Pang;Gesualdo Scutari;Daniel P Palomar;Francisco Facchinei

  • On the Accurate Identification of Active Constraints

    Francisco Facchinei;Andreas Fischer;Christian Kanzow

  • Distributed Power Allocation With Rate Constraints in Gaussian Parallel Interference Channels

    Jong-Shi Pang;G. Scutari;F. Facchinei;Chaoxiong Wang

  • A game-theoretic approach to computation offloading in mobile cloud computing

    Valeria Cardellini;Vittoria De Nitto Personé;Valerio Di Valerio;Francisco Facchinei

  • Real and Complex Monotone Communication Games

    Gesualdo Scutari;Francisco Facchinei;Jong-Shi Pang;Daniel P. Palomar

  • A nonsmooth inexact Newton method for the solution of large-scale nonlinear complementarity problems

    Francisco Facchinei;Christian Kanzow

  • Nash equilibria: The variational approach

    Francisco Facchinei;Jong Shi Pang

  • Parallel Selective Algorithms for Nonconvex Big Data Optimization

    Francisco Facchinei;Gesualdo Scutari;Simone Sagratella

  • Penalty Methods for the Solution of Generalized Nash Equilibrium Problems

    Francisco Facchinei;Christian Kanzow

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

    F. Facchinei;S. Lucidi

  • Generalized Nash equilibrium problems and Newton methods

    Francisco Facchinei;Andreas Fischer;Veronica Piccialli

Frequent Co-Authors

Gesualdo Scutari
Gesualdo Scutari Purdue University West Lafayette
Jong-Shi Pang
Jong-Shi Pang University of Southern California
Christian Kanzow
Christian Kanzow University of Würzburg
Roberto Cominetti
Roberto Cominetti Adolfo Ibáñez University
Jean B. Lasserre
Jean B. Lasserre Laboratory for Analysis and Architecture of Systems
Daniel P. Palomar
Daniel P. Palomar Hong Kong University of Science and Technology
Stefano Lucidi
Stefano Lucidi Sapienza University of Rome
Brian M. Sadler
Brian M. Sadler United States Army Research Laboratory
Michael C. Ferris
Michael C. Ferris University of Wisconsin–Madison
Liqun Qi
Liqun Qi Hong Kong Polytechnic University

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:

Related Online Degrees & Career Pathways

For students exploring Mathematics in the USA, related online degrees and career pathways offer versatile options to complement core skills. Many professionals consider pursuing an MBA to enhance their business acumen alongside technical expertise. Programs like year long mba programs provide an accelerated route without compromising quality, ideal for those eager to advance quickly.

Transferability of credits can be a crucial factor when selecting an MBA program. If you've completed coursework elsewhere, it's helpful to know that some degrees accept transferred credits, streamlining your path to graduation. Exploring options such as can you transfer credits into an mba program will clarify your choices and reduce redundant studies.

Those interested in data-driven roles can complement their math background with a data analytics masters. This specialization opens doors to careers in business intelligence, finance, and technology, where analytical skills are highly valued.

Finally, for students balancing commitments or looking for flexibility, understanding the easiest mba to get into may help in selecting a program that suits their needs without sacrificing career prospects.

Best Scientists Citing Francisco Facchinei

Trending Scientists

Recently Published Articles