World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
38
Citations
6313
World Ranking
2338
National Ranking
991

Konstantin Lipnikov 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 Konstantin Lipnikov 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: 119 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Konstantin Lipnikov 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 Konstantin Lipnikov 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

Konstantin Lipnikov is affiliated with Los Alamos National Laboratory in the United States. Their research primarily focuses on engineering, with a strong emphasis on computational mechanics and related fields. The scope of their work spans various specialized areas within engineering, including computational fluid dynamics and aerodynamics, advanced numerical methods in computational mathematics, and groundwater flow and contamination studies.

The scientist has contributed to topics such as:

  • Computational Fluid Dynamics and Aerodynamics
  • Advanced Numerical Methods in Computational Mathematics
  • Groundwater flow and contamination studies
  • Computer Graphics and Visualization Techniques
  • Hydraulic Fracturing and Reservoir Analysis
  • Fluid Dynamics Simulations and Interactions
  • Lattice Boltzmann Simulation Studies

Lipnikov's frequent publication venues include:

  • Journal of Computational Physics
  • Advances in Water Resources
  • SIAM Journal on Scientific Computing
  • SSRN Electronic Journal
  • arXiv (Cornell University)

Frequent co-authors collaborating with Lipnikov are:

  • Rao Garimella
  • D. Moulton
  • Evgeny Kikinzon
  • Mikhail Shashkov
  • Jan Velechovský

Some recent papers exemplifying Lipnikov's research include:

  • Verification benchmarks for single-phase flow in three-dimensional fractured porous media, 2020, Advances in Water Resources
  • Coupling surface flow and subsurface flow in complex soil structures using mimetic finite differences, 2020, Advances in Water Resources
  • Multidimensional Staggered Grid Residual Distribution Scheme for Lagrangian Hydrodynamics, 2020, SIAM Journal on Scientific Computing
  • Reactive transport modeling for supporting climate resilience at groundwater contamination sites, 2022, Hydrology and earth system sciences
  • Conservative high-order discontinuous Galerkin remap scheme on curvilinear polyhedral meshes, 2020, Journal of Computational Physics

Lipnikov's work in computational mechanics is reflected in a significant number of publications, demonstrating expertise in developing numerical methods and simulations that address complex fluid and mechanical systems. Their studies often involve interdisciplinary applications that intersect with environmental engineering and computer graphics, which illustrates a broad and integrated scientific approach.

Best Publications

  • Mimetic finite difference method

    Konstantin Lipnikov;Gianmarco Manzini;Mikhail Shashkov

  • A FAMILY OF MIMETIC FINITE DIFFERENCE METHODS ON POLYGONAL AND POLYHEDRAL MESHES

    Franco Brezzi;Konstantin Lipnikov;Valeria Simoncini

  • Convergence of the Mimetic Finite Difference Method for Diffusion Problems on Polyhedral Meshes

    Franco Brezzi;Konstantin Lipnikov;Mikhail Shashkov

  • The Mimetic Finite Difference Method for Elliptic Problems

    Lourenço Beirão da Veiga;Konstantin Lipnikov;Gianmarco Manzini

  • The nonconforming virtual element method

    Blanca Pilar Ayuso De Dios;Konstantin Lipnikov;Gianmarco Manzini

  • Monotone finite volume schemes for diffusion equations on unstructured triangular and shape-regular polygonal meshes

    K. Lipnikov;M. Shashkov;D. Svyatskiy;Yu. Vassilevski

  • Mimetic finite differences for elliptic problems

    Franco Brezzi;Annalisa Buffa;Konstantin Lipnikov

  • Interpolation-free monotone finite volume method for diffusion equations on polygonal meshes

    K. Lipnikov;D. Svyatskiy;Y. Vassilevski

  • A new discretization methodology for diffusion problems on generalized polyhedral meshes

    Franco Brezzi;Konstantin Lipnikov;Mikhail Shashkov;Valeria Simoncini

  • Local flux mimetic finite difference methods

    Konstantin Lipnikov;Mikhail Shashkov;Ivan Yotov

  • The mimetic finite difference method on polygonal meshes for diffusion-type problems ∗

    Y. Kuznetsov;K. Lipnikov;M. Shashkov

  • Arbitrary-Order Nodal Mimetic Discretizations of Elliptic Problems on Polygonal Meshes

    L. Beirão da Veiga;K. Lipnikov;G. Manzini

  • Mimetic finite difference methods for diffusion equations on non-orthogonal non-conformal meshes

    Konstantin Lipnikov;Jim Morel;Mikhail Shashkov

  • The mimetic finite difference discretization of diffusion problem on unstructured polyhedral meshes

    Konstantin Lipnikov;Mikhail Shashkov;Daniil Svyatskiy

  • Mimetic finite difference method for the Stokes problem on polygonal meshes

    L. Beirão da Veiga;V. Gyrya;K. Lipnikov;G. Manzini

  • CONVERGENCE OF MIMETIC FINITE DIFFERENCE METHOD FOR DIFFUSION PROBLEMS ON POLYHEDRAL MESHES WITH CURVED FACES

    Franco Brezzi;Konstantin Lipnikov;Mikhail Shashkov

  • A monotone finite volume method for advection-diffusion equations on unstructured polygonal meshes

    K. Lipnikov;D. Svyatskiy;Y. Vassilevski

  • Verification benchmarks for single-phase flow in three-dimensional fractured porous media

    Inga Berre;Wietse M. Boon;Bernd Flemisch;Alessio Fumagalli;Alessio Fumagalli

  • Convergence of mimetic finite difference discretizations of the diffusion equation

    Markus Berndt;Konstantin Lipnikov;J. David Moulton;Mikhail J. Shashkov

  • High-order mimetic finite difference method for diffusion problems on polygonal meshes

    Vitaliy Gyrya;Konstantin Lipnikov

  • The nonconforming virtual element method

    B. Ayuso de Dios;K. Lipnikov;G. Manzini

Frequent Co-Authors

Gianmarco Manzini
Gianmarco Manzini Los Alamos National Laboratory
Mikhail Shashkov
Mikhail Shashkov Los Alamos National Laboratory
Franco Brezzi
Franco Brezzi National Research Council (CNR)
L. Beirão da Veiga
L. Beirão da Veiga University of Milano-Bicocca
Ivan Yotov
Ivan Yotov University of Pittsburgh
James A. Davis
James A. Davis Lawrence Berkeley National Laboratory
Mary F. Wheeler
Mary F. Wheeler The University of Texas at Austin
Rémi Abgrall
Rémi Abgrall University of Zurich
Valeria Simoncini
Valeria Simoncini University of Bologna
Scott L. Painter
Scott L. Painter Oak Ridge National Laboratory

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 pursuing Mathematics in the USA, diversifying skills through complementary online degrees can open new career opportunities. Many professionals consider programs like an easy online MBA to gain business acumen without extensive time commitments. These programs often focus on practicality, allowing math graduates to transition into managerial roles smoothly.

Similarly, those interested in leadership and data-driven strategies might explore a 1 year DBA program online. This accelerated path is designed for working professionals seeking advanced business insights in a short timeframe, making it a strategic choice for mathematicians aiming for executive positions.

Financial mathematics students benefit from specialized education, such as the cheapest online master's in finance. Affordable and flexible, these degrees combine quantitative skills with financial theory, preparing graduates for careers in finance, investment, and analytics.

Time-sensitive learners may prefer the shortest online MBA, which helps accelerate career growth without compromising education quality. Overall, these related online degrees provide mathematics graduates with versatile options tailored to various professional goals.

Best Scientists Citing Konstantin Lipnikov

Trending Scientists

Recently Published Articles