World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
6102
World Ranking
8028
National Ranking
293

Mario Putti 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 Mario Putti 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: 233 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Mario Putti 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 Mario Putti 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: 38 D-Index — 20th percentile

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

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

Overview

Mario Putti is affiliated with the University of Padua in Italy. Their research spans the fields of Engineering and Mathematics, with an emphasis on Computational Mechanics, Applied Mathematics, Geometry and Topology, Statistical and Nonlinear Physics, and Mathematical Physics.

Their scholarly output covers a range of foundational and applied topics. Notable main topics include:

  • Geometric Analysis and Curvature Flows
  • Nonlinear Partial Differential Equations
  • Computational Fluid Dynamics and Aerodynamics
  • Advanced Numerical Methods in Computational Mathematics
  • Slime Mold and Myxomycetes Research
  • Spectral Theory in Mathematical Physics
  • Geometry and complex manifolds

Putti's publication record includes papers in various distinguished venues. The most frequent publication outlets are:

  • arXiv (Cornell University)
  • Journal of Computational Physics
  • Water Resources Research
  • Frontiers in Water
  • Scientific Reports

Selected recent papers illustrate the diversity of their research focus:

  • A greedy non-intrusive reduced order model for shallow water equations, 2021, Journal of Computational Physics
  • Intrinsic finite element method for advection-diffusion-reaction equations on surfaces, 2020, Journal of Computational Physics
  • A Lubrication-Based Solver for Shear-Thinning Flow in Rough Fractures, 2022, Water Resources Research
  • Network extraction by routing optimization, 2020, Scientific Reports
  • Efficient Irrigation of Maize Through Soil Moisture Monitoring and Modeling, 2021, Frontiers in Water

Collaboration is a significant aspect of Putti's work, with frequent co-authors including Enrico Facca, Elena Bachini, Piero Deidda, Caterina De Bacco, and Luca Berti. These collaborations reflect a network of researchers contributing to computational methods and applied mathematical modeling within their fields.

Best Publications

  • A comparison of Picard and Newton iteration in the numerical solution of multidimensional variably saturated flow problems

    Claudio Paniconi;Mario Putti

  • Physically based modeling in catchment hydrology at 50: Survey and outlook

    Claudio Paniconi;Mario Putti

  • Surface-subsurface model intercomparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks

    Reed M. Maxwell;Mario Putti;Steven Meyerhoff;Jens Olaf Delfs

  • Tc=21K in epitaxial FeSe0.5Te0.5 thin films with biaxial compressive strain

    E. Bellingeri;I. Pallecchi;R. Buzio;A. Gerbi

  • MIXED FINITE ELEMENTS AND NEWTON-TYPE LINEARIZATIONS FOR THE SOLUTION OF RICHARDS' EQUATION

    Luca Bergamaschi;Mario Putti

  • The integrated hydrologic model intercomparison project, IH-MIP2: A second set of benchmark results to diagnose integrated hydrology and feedbacks

    Stefan Kollet;Mauro Sulis;Reed M. Maxwell;Claudio Paniconi

  • A comparison of two physics-based numerical models for simulating surface water–groundwater interactions

    Mauro Sulis;Steven B. Meyerhoff;Claudio Paniconi;Reed M. Maxwell

  • Spatial organization and ecohydrological interactions in oxygen-limited vegetation ecosystems

    Marco Marani;Sonia Silvestri;Enrica Belluco;Nadia Ursino

  • Mixed finite elements and Newton‐type linearizations for the solution of Richards' equation

    Unknown

  • Newtonian nudging for a Richards equation-based distributed hydrological model

    Claudio Paniconi;Marino Marrocu;Mario Putti;Mark Verbunt

  • A Triangular Finite Volume Approach With High‐Resolution Upwind Terms for the Solution of Groundwater Transport Equations

    Mario Putti;William W.-G. Yeh;William A. Mulder

  • Three-Dimensional Model of Coupled Density-Dependent Flow and Miscible Salt Transport

    G. Gambolati;M. Putti;C. Paniconi

  • Tree root systems competing for soil moisture in a 3D soil–plant model

    Gabriele Manoli;Gabriele Manoli;Sara Bonetti;Jean-Christophe Domec;Jean-Christophe Domec;Mario Putti

  • Critical field of Al-doped MgB2 samples: Correlation with the suppression of the sigma-band gap

    M. Putti;C. Ferdeghini;M. Monni;I. Pallecchi

  • Finite Element Approximation of the Diffusion Operator on Tetrahedra

    Mario Putti;Christian Cordes

  • Coupling water flow and solute transport into a physically-based surface–subsurface hydrological model

    S. Weill;A. Mazzia;M. Putti;C. Paniconi

  • Picard and Newton linearization for the coupled model for saltwater intrusion in aquifers

    Mario Putti;Claudio Paniconi

  • Hydrological modeling in swelling/shrinking peat soils

    Matteo Camporese;Stefano Ferraris;Mario Putti;Paolo Salandin

  • Peat land oxidation enhances subsidence in the Venice watershed

    Giuseppe Gambolati;Mario Putti;Pietro Teatini;Matteo Camporese

  • Subsidence due to peat oxidation and impact on drainage infrastructures in a farmland catchment south of the Venice Lagoon

    G. Gambolati;M. Putti;P. Teatini;G. Gasparetto Stori

  • Ensemble Kalman filter versus particle filter for a physically-based coupled surface-subsurface model

    Damiano Pasetto;Matteo Camporese;Mario Putti

  • Modeling meander morphodynamics over self-formed heterogeneous floodplains

    Manuel Bogoni;Mario Putti;Stefano Lanzoni

Frequent Co-Authors

Pietro Teatini
Pietro Teatini University of Padua
Giuseppe Gambolati
Giuseppe Gambolati University of Padua
Claudio Paniconi
Claudio Paniconi Institut National de la Recherche Scientifique
A. Palenzona
A. Palenzona University of Genoa
Marco Marani
Marco Marani University of Padua
Giorgio Cassiani
Giorgio Cassiani University of Padua
Luigi Tosi
Luigi Tosi National Research Council (CNR)
Alberto Bellin
Alberto Bellin University of Trento
William W.-G. Yeh
William W.-G. Yeh University of California, Los Angeles
Andrea Rinaldo
Andrea Rinaldo École Polytechnique Fédérale de Lausanne

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