World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
30
Citations
7918
World Ranking
3423
National Ranking
118

Nicola Gigli 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 Nicola Gigli 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: 134 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Nicola Gigli 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 Nicola Gigli 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: 30 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Nicola Gigli is affiliated with the International School for Advanced Studies in Italy. Their research primarily focuses on Mathematics, with extensive contributions across 127 publications in this field. Subfields of study include Applied Mathematics, Geometry and Topology, Mathematical Physics, Astronomy and Astrophysics, and Computational Theory and Mathematics.

The principal topics of Nicola Gigli's work encompass:

  • Geometric Analysis and Curvature Flows
  • Nonlinear Partial Differential Equations
  • Geometry and complex manifolds
  • Advanced Differential Geometry Research
  • Advanced Topology and Set Theory
  • Advanced Banach Space Theory
  • Point processes and geometric inequalities

Recent papers authored by Nicola Gigli include:

  • Second order differentiation formula on RCD∗(K;N) spaces, 2021, PubliCatt (Università Cattolica del Sacro Cuore)
  • Equivalence of two different notions of tangent bundle on rectifiable metric measure spaces, 2022, Communications in Analysis and Geometry
  • Behaviour of the reference measure on \( \mathsf{RCD} \) spaces under charts, 2021, Communications in Analysis and Geometry
  • Rigidity for the spectral gap on Rcd(K, ∞)-spaces, 2020, American Journal of Mathematics

Nicola Gigli has also contributed a book publication titled Lectures on Nonsmooth Differential Geometry, published in 2020 by Springer International Publishing.

Frequent collaborators in their research efforts include:

  • Enrico Pasqualetto
  • Camillo Brena
  • Ivan Yuri Violo
  • Luca Tamanini
  • Simone Di Marino

Nicola Gigli's work has been primarily published in venues such as:

  • arXiv (Cornell University)
  • Journal of Geometric Analysis
  • Journal of Functional Analysis
  • Potential Analysis
  • Communications in Analysis and Geometry

Best Publications

  • Gradient Flows: In Metric Spaces and in the Space of Probability Measures

    Luigi Ambrosio;Nicola Gigli;Giuseppe Savaré

  • Metric measure spaces with Riemannian Ricci curvature bounded from below

    Luigi Ambrosio;Nicola Gigli;Giuseppe Savaré

  • Calculus and heat flow in metric measure spaces and applications to spaces with Ricci bounds from below

    Luigi Ambrosio;Nicola Gigli;Giuseppe Savaré

  • A User’s Guide to Optimal Transport

    Luigi Ambrosio;Nicola Gigli

  • Bakry-Émery curvature-dimension condition and Riemannian Ricci curvature bounds

    Luigi Ambrosio;Nicola Gigli;Giuseppe Savaré

  • On the Differential Structure of Metric Measure Spaces and Applications

    Nicola Gigli

  • Density of Lipschitz functions and equivalence of weak gradients in metric measure spaces.

    Luigi Ambrosio;Nicola Gigli;Giuseppe Savaré

  • Riemannian Ricci curvature lower bounds in metric measure spaces with -finite measure

    Luigi Ambrosio;Nicola Gigli;Andrea Mondino;Tapio Rajala

  • Convergence of pointed non-compact metric measure spaces and stability of Ricci curvature bounds and heat flows

    Nicola Gigli;Andrea Mondino;Giuseppe Savaré

  • The splitting theorem in non-smooth context

    Nicola Gigli

  • Metric measure spaces with Riemannian Ricci curvature bounded from below

    Luigi Ambrosio;Nicola Gigli;Giuseppe Savaré

  • Nonsmooth Differential Geometry: An Approach Tailored for Spaces With Ricci Curvature Bounded from Below

    Nicola Gigli

  • Heat flow on Alexandrov spaces

    Nicola Gigli;Kazumasa Kuwada;Shin Ichi Ohta

  • Riemannian Ricci curvature lower bounds in metric measure spaces with $\sigma$-finite measure

    Luigi Ambrosio;Nicola Gigli;Andrea Mondino;Tapio Rajala

  • Non-collapsed spaces with Ricci curvature bounded from below

    Guido De Philippis;Nicola Gigli

  • A new transportation distance between non-negative measures, with applications to gradients flows with Dirichlet boundary conditions

    Alessio Figalli;Nicola Gigli

  • An Overview of the Proof of the Splitting Theorem in Spaces with Non-Negative Ricci Curvature

    Nicola Gigli

  • On the heat flow on metric measure spaces: existence, uniqueness and stability

    Nicola Gigli

  • Density of Lipschitz functions and equivalence of weak gradients in metric measure spaces

    Luigi Ambrosio;Nicola Gigli;Giuseppe Savaré

  • Optimal Maps and Exponentiation on Finite-Dimensional Spaces with Ricci Curvature Bounded from Below

    Nicola Gigli;Nicola Gigli;Tapio Rajala;Karl-Theodor Sturm

  • Bakry-'Emery curvature-dimension condition and Riemannian Ricci curvature bounds

    Luigi Ambrosio;Nicola Gigli;Giuseppe Savaré

  • From volume cone to metric cone in the nonsmooth setting

    Guido De Philippis;Nicola Gigli

  • Lectures on Nonsmooth Differential Geometry

    Nicola Gigli;Enrico Pasqualetto

  • On the inverse implication of Brenier-Mccann theorems and the structure of (P 2 (M),W 2 )

    Nicola Gigli

  • OPTIMAL MAPS IN NON BRANCHING SPACES WITH RICCI CURVATURE BOUNDED FROM BELOW

    Nicola Gigli

  • Gradient flows with metric and differentiable structures, and applications to the Wasserstein space

    Luigi Ambrosio;Nicola Gigli;Giuseppe Savaré

  • Second order differentiation formula on RCD*$(K,N)$ spaces

    Nicola Gigli;Luca Tamanini

  • The continuity equation on metric measure spaces

    Nicola Gigli;Bang-Xian Han

  • Independence on p of weak upper gradients on RCD spaces

    Nicola Gigli;Bang-Xian Han

  • Measure Theory in Non-Smooth Spaces

    Unknown

  • Behaviour of the reference measure on $\sf RCD$ spaces under charts

    Nicola Gigli;Enrico Pasqualetto

Frequent Co-Authors

Luigi Ambrosio
Luigi Ambrosio National Research Council (CNR)
Giuseppe Savaré
Giuseppe Savaré Bocconi University
Karl-Theodor Sturm
Karl-Theodor Sturm University of Bonn
Felix Otto
Felix Otto Max Planck Institute for Mathematics in the Sciences
Michel Ledoux
Michel Ledoux Paul Sabatier 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 interested in expanding their expertise beyond Mathematics, pursuing related online degrees offers flexible and cost-effective pathways. Programs like the cheapest aacsb online dba provide opportunities to develop leadership and analytical skills applicable to data-driven decision making in various industries.

Similarly, finance is a natural complement to mathematics, and the cheapest online masters in finance programs deliver foundational knowledge in financial modeling and quantitative analysis at an affordable cost.

For those aiming to boost their business acumen efficiently, the shortest online mba programs offer an accelerated path to managerial roles, merging practical skills with flexible learning.

Marketing also intersects with mathematical proficiency, especially in data analytics and consumer behavior. Graduates can explore marketing masters degrees that balance cost, duration, and potential earnings, preparing them for dynamic career opportunities.

Best Scientists Citing Nicola Gigli

Trending Scientists