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Charbel Farhat
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Mechanical and Aerospace Engineering
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 95 89 83 47 42 485 35877

Charbel Farhat publications per year

The chart shows the history of publications by Charbel Farhat between 1986 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Charbel Farhat published across 41 years, from 1986 to 2026, averaging 13.1 papers a year. Output peaked at 23 publications in 1998. 12 of the 539 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1986 to 2026. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 1998. 1986: 2 publications 1987: 5 publications 1988: 3 publications 1989: 6 publications 1990: 9 publications 1991: 8 publications 1992: 6 publications 1993: 16 publications 1994: 15 publications 1995: 19 publications 1996: 12 publications 1997: 8 publications 1998: 23 publications 1999: 11 publications 2000: 22 publications 2001: 17 publications 2002: 15 publications 2003: 16 publications 2004: 13 publications 2005: 10 publications 2006: 12 publications 2007: 11 publications 2008: 15 publications 2009: 17 publications 2010: 11 publications 2011: 14 publications 2012: 15 publications 2013: 16 publications 2014: 11 publications 2015: 13 publications 2016: 10 publications 2017: 11 publications 2018: 19 publications 2019: 20 publications 2020: 20 publications 2021: 21 publications 2022: 19 publications 2023: 20 publications 2024: 16 publications 2025: 11 publications 2026: 1 publication
1986 2026

539 publications in total across all disciplines

View publications per year as a table
Charbel Farhat: publications per year, 1986 to 2026
Year Publications
1986 2
1987 5
1988 3
1989 6
1990 9
1991 8
1992 6
1993 16
1994 15
1995 19
1996 12
1997 8
1998 23
1999 11
2000 22
2001 17
2002 15
2003 16
2004 13
2005 10
2006 12
2007 11
2008 15
2009 17
2010 11
2011 14
2012 15
2013 16
2014 11
2015 13
2016 10
2017 11
2018 19
2019 20
2020 20
2021 21
2022 19
2023 20
2024 16
2025 11
2026 1
Total 539
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Charbel Farhat publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Charbel Farhat sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 477–486 publications, is where this scientist sits. 47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47–56 publications 659+

This scientist: 485 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24 485
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
Download as CSV

Charbel Farhat D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Charbel Farhat sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 93+ D-Index, is where this scientist sits. 30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 95 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100 95
Download as CSV

Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in United States Leader Award
  • 2017 - Spirit of St. Louis Medal, The American Society of Mechanical Engineers
  • 2016 - Fellow of the Royal Academy of Engineering (UK)
  • 2014 - IACM Congress Medal (Gauss-Newton Medal)
  • 2013 - Member of the National Academy of Engineering For contributions to computing fluid-structure interactions and their applications in aeronautical, naval, and mechanical engineering.
  • 2011 - SIAM Fellow For contributions to parallel computing and modeling and simulation of fluid-structure interaction problems.
  • 2009 - John von Neumann Medal, U.S. Association for Computational Mechanics (USACM) For outstanding and sustained contributions in high-performance computing, fluid-structure interaction, and computational acoustics and their impact on real-world engineering applications.
  • 2003 - Fellow of the American Society of Mechanical Engineers
  • 2002 - Fellow of the International Association for Computational Mechanics (IACM)
  • 2001 - THE J. TINSLEY ODEN MEDAL

Overview

Charbel Farhat is affiliated with Stanford University in the United States and conducts research primarily in the field of engineering, with a focus on computational mechanics. Their work encompasses several subfields including computational mechanics, statistical and nonlinear physics, statistics, probability and uncertainty, control and systems engineering, and aerospace engineering.

The main topics covered in their research include model reduction and neural networks, probabilistic and robust engineering design, computational fluid dynamics and aerodynamics, lattice Boltzmann simulation studies, fluid dynamics and vibration analysis, fluid dynamics and turbulent flows, and gas dynamics and kinetic theory.

Frequent publication venues for their research are:

  • International Journal for Numerical Methods in Fluids
  • Journal of Computational Physics
  • International Journal for Numerical Methods in Engineering
  • Computer Methods in Applied Mechanics and Engineering
  • AIAA Journal

Some of their recent papers include:

  • Learning constitutive relations from indirect observations using deep neural networks, 2020, Journal of Computational Physics
  • A mechanics-informed artificial neural network approach in data-driven constitutive modeling, 2022, International Journal for Numerical Methods in Engineering
  • On the stability of projection-based model order reduction for convection-dominated laminar and turbulent flows, 2020, Journal of Computational Physics
  • A physics-based digital twin for model predictive control of autonomous unmanned aerial vehicle landing, 2022, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • Neural-network-augmented projection-based model order reduction for mitigating the Kolmogorov barrier to reducibility, 2023, Journal of Computational Physics

Frequent co-authors of Charbel Farhat include:

  • Cedric Taylor
  • Nigel Weatherill
  • Philip Gresho
  • David Gartling
  • Martin Berzins

Awards conferred to Charbel Farhat include the Spirit of St. Louis Medal from The American Society of Mechanical Engineers in 2017, the Fellow of the Royal Academy of Engineering (UK) in 2016, the IACM Congress Medal (Gauss-Newton Medal) in 2014, and membership in the National Academy of Engineering in 2013 for contributions to computing fluid-structure interactions and their applications in aeronautical, naval, and mechanical engineering.

Other honors include being named a SIAM Fellow in 2011 for contributions to parallel computing and modeling and simulation of fluid-structure interaction problems, the John von Neumann Medal from the U.S. Association for Computational Mechanics in 2009 for outstanding and sustained contributions in high-performance computing, fluid-structure interaction, and computational acoustics, and fellowships from the American Society of Mechanical Engineers (2003) and the International Association for Computational Mechanics (2002). They also received THE J. TINSLEY ODEN MEDAL in 2001.

Best Publications

  • A method of finite element tearing and interconnecting and its parallel solution algorithm

    Charbel Farhat;Francois-Xavier Roux

  • Partitioned analysis of coupled mechanical systems

    Carlos A. Felippa;K.C. Park;Charbel Farhat

  • Load and motion transfer algorithms for fluid/structure interaction problems with non-matching discrete interfaces: Momentum and energy conservation, optimal discretization and application to aeroelasticity

    C. Farhat;M. Lesoinne;P. Le Tallec

  • FETI‐DP: a dual–primal unified FETI method—part I: A faster alternative to the two‐level FETI method

    Charbel Farhat;Michel Lesoinne;Patrick LeTallec;Kendall Pierson

  • Interpolation Method for Adapting Reduced-Order Models and Application to Aeroelasticity

    David Amsallem;Charbel Farhat

  • Efficient non-linear model reduction via a least-squares Petrov–Galerkin projection and compressive tensor approximations

    Kevin Carlberg;Charbel Bou-Mosleh;Charbel Farhat

  • The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows

    Kevin Carlberg;Charbel Farhat;Julien Cortial;David Amsallem

  • Torsional springs for two-dimensional dynamic unstructured fluid meshes

    C. Farhat;C. Degand;B. Koobus;M. Lesoinne

  • Two efficient staggered algorithms for the serial and parallel solution of three-dimensional nonlinear transient aeroelastic problems

    C. Farhat;M. Lesoinne

  • Implicit parallel processing in structural mechanics

    C. Farhat

  • Partitioned procedures for the transient solution of coupled aroelastic problems Part I: Model problem, theory and two-dimensional application

    Serge Piperno;Charbel Farhat;Bernard Larrouturou

  • Optimal convergence properties of the FETI domain decomposition method

    Charbel Farhat;Jan Mandel;Francois Xavier Roux

  • Geometric conservation laws for flow problems with moving boundaries and deformable meshes, and their impact on aeroelastic computations

    Michel Lesoinne;Charbel Farhat

  • Provably second-order time-accurate loosely-coupled solution algorithms for transient nonlinear computational aeroelasticity

    Charbel Farhat;Kristoffer G. van der Zee;Philippe Geuzaine

  • A simple and efficient automatic fem domain decomposer

    Charbel Farhat

  • Mixed explicit/implicit time integration of coupled aeroelastic problems: Three‐field formulation, geometric conservation and distributed solution

    Charbel Farhat;Michel Lesoinne;Nathan Maman

  • The Discontinuous Enrichment Method

    Charbel Farhat;Isaac Harari;Leopoldo P. Franca

  • The discrete geometric conservation law and the nonlinear stability of ALE schemes for the solution of flow problems on moving grids

    Charbel Farhat;Philippe Geuzaine;Céline Grandmont

  • Partitioned procedures for the transient solution of coupled aeroelastic problems – Part II: energy transfer analysis and three-dimensional applications

    Serge Piperno;Charbel Farhat

  • A scalable dual‐primal domain decomposition method

    Charbel Farhat;Michael Lesoinne;Kendall Pierson

  • A three-dimensional torsional spring analogy method for unstructured dynamic meshes

    Christoph Degand;Charbel Farhat

  • Reduced-order fluid/structure modeling of a complete aircraft configuration

    T. Lieu;C. Farhat;M. Lesoinne

  • Updating finite element dynamic models using an element-by-element sensitivity methodology

    Charbel Farhat;Francois M. Hemez

Frequent Co-Authors

Jan Mandel
Jan Mandel University of Colorado Denver
Kurt Maute
Kurt Maute University of Colorado Boulder
Daniel J. Rixen
Daniel J. Rixen Technical University of Munich
Michel Géradin
Michel Géradin University of Liège
Christian Soize
Christian Soize Université Gustave Eiffel
Isaac Harari
Isaac Harari Tel Aviv University
Carlos A. Felippa
Carlos A. Felippa University of Colorado Boulder
Leopoldo P. Franca
Leopoldo P. Franca IBM (Brazil)
Edward L. Wilson
Edward L. Wilson University of California, Berkeley
Roland Keunings
Roland Keunings Université Catholique de Louvain

External Links

Wikipedia of Charbel Farhat Personal website of Charbel Farhat Google Scholar page

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Related Online Degrees & Career Pathways

For students interested in expanding their expertise beyond Mechanical and Aerospace Engineering, several related online degrees can offer versatile career options. For example, pursuing an accredited easiest counseling degree programs can provide skills in human behavior and mental health support, valuable in many technical leadership roles.

Those looking for accelerated education paths might consider an accelerated bcba program online, which offers a fast-track to becoming a Board Certified Behavior Analyst. This can be a complementary skill set for engineers engaged in user-experience design or adaptive technologies.

For careers focused on communication sciences, understanding whether is it hard to get into slp grad school can help prospective students prepare better for admissions. Similarly, exploring the easiest slp masters programs to get into can open more accessible pathways into Speech-Language Pathology, which complements engineering fields involving human-machine interaction.

Considering these interdisciplinary online degrees can enhance career flexibility and open new professional opportunities for engineering graduates.

Best Scientists Citing Charbel Farhat

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Pierre Ladevèze

École Normale Supérieure Paris-Saclay

Publications: 63

Wolfgang A. Wall

Wolfgang A. Wall

Technical University of Munich

Publications: 59

Daniel J. Rixen

Daniel J. Rixen

Technical University of Munich

Publications: 44

Gianluigi Rozza

Gianluigi Rozza

International School for Advanced Studies

Publications: 43

Alfio Quarteroni

Alfio Quarteroni

Polytechnic University of Milan

Publications: 43

Wim Desmet

Wim Desmet

KU Leuven

Publications: 40

Yvon Maday

Yvon Maday

Sorbonne University

Publications: 38

Thomas J. R. Hughes

Thomas J. R. Hughes

The University of Texas at Austin

Publications: 33

Manolis Papadrakakis

Manolis Papadrakakis

National Technical University of Athens

Publications: 32

Christian Soize

Christian Soize

Université Gustave Eiffel

Publications: 32

Jian-Ming Jin

Jian-Ming Jin

University of Illinois at Urbana-Champaign

Publications: 32

Ilaria Perugia

Ilaria Perugia

University of Vienna

Publications: 31

Mark Cross

Mark Cross

Swansea University

Publications: 30

Francisco Chinesta

Francisco Chinesta

ESI (France)

Publications: 30

Anthony Gravouil

Anthony Gravouil

Institut National des Sciences Appliquées de Lyon

Publications: 30

Jack J. McNamara

Jack J. McNamara

The Ohio State University

Publications: 30

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