World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
37
Citations
6443
World Ranking
2481
National Ranking
1037

Engineering and Technology

D-Index
37
Citations
6436
World Ranking
8323
National Ranking
2305

Overview

Ivan Yotov is affiliated with the University of Pittsburgh in the United States and focuses their research primarily in the field of Engineering. Their work encompasses several subfields including Computational Mechanics, Computational Theory and Mathematics, Mechanics of Materials, Electrical and Electronic Engineering, and Numerical Analysis.

The main topics of Ivan Yotov's research include:

  • Advanced Numerical Methods in Computational Mathematics
  • Advanced Mathematical Modeling in Engineering
  • Computational Fluid Dynamics and Aerodynamics
  • Numerical methods in engineering
  • Electromagnetic Simulation and Numerical Methods
  • Lattice Boltzmann Simulation Studies
  • Fluid Dynamics and Turbulent Flows

The scientist has contributed to various publication venues, with recurrent appearances in:

  • arXiv (Cornell University)
  • Computer Methods in Applied Mechanics and Engineering
  • Computational Geosciences
  • IMA Journal of Numerical Analysis
  • SIAM Journal on Numerical Analysis

Some of the recent papers authored or coauthored by Ivan Yotov include:

  • The Biot-Stokes coupling using total pressure: Formulation, analysis and application to interfacial flow in the eye (2021, Computer Methods in Applied Mechanics and Engineering)
  • A Banach space mixed formulation for the unsteady Brinkman-Forchheimer equations (2020, IMA Journal of Numerical Analysis)
  • A mixed elasticity formulation for fluid-poroelastic structure interaction (2021, ESAIM. Mathematical modelling and numerical analysis)
  • A three-field Banach spaces-based mixed formulation for the unsteady Brinkman-Forchheimer equations (2022, Computer Methods in Applied Mechanics and Engineering)
  • A multipoint stress-flux mixed finite element method for the Stokes-Biot model (2022, Numerische Mathematik)

Frequent collaborators include:

  • Sergio Caucao
  • Rainer Helmig
  • Tongtong Li
  • Wietse M. Boon
  • Dennis Gläser

Best Publications

  • Coupling Fluid Flow with Porous Media Flow

    William J. Layton;Friedhelm Schieweck;Ivan Yotov

  • Mixed Finite Elements for Elliptic Problems with Tensor Coefficients as Cell-Centered Finite Differences

    Todd Arbogast;Mary F. Wheeler;Ivan Yotov

  • A Multiscale Mortar Mixed Finite Element Method

    Todd Arbogast;Gergina Pencheva;Mary F. Wheeler;Ivan Yotov

  • Locally Conservative Coupling of Stokes and Darcy Flows

    Béatrice Rivière;Ivan Yotov

  • Mixed Finite Element Methods on Nonmatching Multiblock Grids

    Todd Arbogast;Lawrence C. Cowsar;Mary F. Wheeler;Ivan Yotov

  • A Multipoint Flux Mixed Finite Element Method

    Mary F. Wheeler;Ivan Yotov

  • Enhanced Cell-Centered Finite Differences for Elliptic Equations on General Geometry

    Todd Arobogast;Clint N. Dawson;Philip T. Keenan;Mary F. Wheeler

  • Mortar Upscaling for Multiphase Flow in Porous Media

    Maøgorzata Peszy;Mary F. Wheeler;Ivan Yotov

  • Local flux mimetic finite difference methods

    Konstantin Lipnikov;Mikhail Shashkov;Ivan Yotov

  • A New Generation EOS Compositional Reservoir Simulator: Part I - Formulation and Discretization

    P. Wang;I. Yotov;M. Wheeler;T. Arbogast

  • Robust Discretization of Flow in Fractured Porous Media

    Wietse Boon;Jan Martin Nordbotten;Ivan Yotov

  • Convergence of a symmetric MPFA method on quadrilateral grids

    Ivar Aavatsmark;Geirte T. Eigestad;Runhildk A. Klausen;Runhildk A. Klausen;M. F. Wheeler

  • Coupling Stokes-Darcy Flow with Transport

    Danail Vassilev;Ivan Yotov

  • A multipoint flux mixed finite element method on distorted quadrilaterals and hexahedra

    Mary Wheeler;Guangri Xue;Ivan Yotov

  • Partitioning strategies for the interaction of a fluid with a poroelastic material based on a Nitsche’s coupling approach

    M. Bukač;I. Yotov;R. Zakerzadeh;Paolo Zunino

  • Mixed finite element methods for flow in porous media

    Ivan Petrov Yotov

  • A Multipoint Flux Mixed Finite Element Method on Hexahedra

    Ross Ingram;Mary F. Wheeler;Ivan Yotov

  • Stochastic collocation and mixed finite elements for flow in porous media

    Benjamin A Ganis;Hector Klie;Mary F Wheeler;Tim Wildey

  • A Lagrange multiplier method for a Stokes–Biot fluid–poroelastic structure interaction model

    Ilona Ambartsumyan;Eldar Khattatov;Ivan Yotov;Paolo Zunino;Paolo Zunino

  • Implementation of a mortar mixed finite element method using a Multiscale Flux Basis

    Benjamin Ganis;Ivan Yotov

  • A multiscale mortar multipoint flux mixed finite element method

    Mary Fanett Wheeler;Guangri Xue;Ivan Yotov

  • Superconvergence of the Velocity in Mimetic Finite Difference Methods on Quadrilaterals

    M. Berndt;K. Lipnikov;M. Shashkov;M. F. Wheeler

Frequent Co-Authors

Mary F. Wheeler
Mary F. Wheeler The University of Texas at Austin
Jan M. Nordbotten
Jan M. Nordbotten University of Bergen
Konstantin Lipnikov
Konstantin Lipnikov Los Alamos National Laboratory
Yoram Vodovotz
Yoram Vodovotz University of Pittsburgh
Mikhail Shashkov
Mikhail Shashkov Los Alamos National Laboratory
Clint Dawson
Clint Dawson The University of Texas at Austin
Shuyu Sun
Shuyu Sun King Abdullah University of Science and Technology
Béatrice Rivière
Béatrice Rivière Rice University
Bin Wang
Bin Wang University of Hawaii at Manoa
Jonathan E. Rubin
Jonathan E. Rubin University of Pittsburgh

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