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Eric Cancès

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mathematics 40 1978 1735 121 114 164 16904

Eric Cancès publications per year

The chart shows the history of publications by Eric Cancès between 1997 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Eric Cancès published across 30 years, from 1997 to 2026, averaging 6.6 papers a year. Output peaked at 19 publications in 2006. 5 of the 199 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1997 to 2026. Vertical axis: number of publications, 0 to 19. Peak 19 publications in 2006. 1997: 1 publication 1998: 6 publications 1999: 5 publications 2000: 4 publications 2001: 4 publications 2002: 5 publications 2003: 6 publications 2004: 4 publications 2005: 7 publications 2006: 19 publications 2007: 11 publications 2008: 10 publications 2009: 6 publications 2010: 8 publications 2011: 4 publications 2012: 9 publications 2013: 9 publications 2014: 10 publications 2015: 6 publications 2016: 10 publications 2017: 8 publications 2018: 11 publications 2019: 4 publications 2020: 11 publications 2021: 10 publications 2022: 4 publications 2023: 2 publications 2024: 0 publications 2025: 3 publications 2026: 2 publications
1997 2026

199 publications in total across all disciplines

View publications per year as a table
Eric Cancès: publications per year, 1997 to 2026
Year Publications
1997 1
1998 6
1999 5
2000 4
2001 4
2002 5
2003 6
2004 4
2005 7
2006 19
2007 11
2008 10
2009 6
2010 8
2011 4
2012 9
2013 9
2014 10
2015 6
2016 10
2017 8
2018 11
2019 4
2020 11
2021 10
2022 4
2023 2
2024 0
2025 3
2026 2
Total 199
Download as CSV

Eric Cancès publications per year - data summary

  • Eric Cancès, a Mathematics scholar from École des Ponts ParisTech, has 199 publications recorded across 30 years, from 1997 to 2026.
  • The oldest publication on record dates to 1997 and the most recent to 2026.
  • The most productive year is 2006, with 19 publications.
  • The least productive year with any output is 1997, with 1 publication.
  • 1 of the 30 years in the span carries no publications at all (2024).
  • The rate of publication averages 6.6 papers per year over the whole span, or 6.9 per year counting only the 29 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 11 publications, 6% of the career total.
  • Split into equal eras - 1997-2006: 61 publications (6.1 per year); 2007-2016: 83 publications (8.3 per year); 2017-2026: 55 publications (5.5 per year).
  • Comparing the opening and closing eras, the overall trend of publication is broadly steady.

Eric Cancès 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 Eric Cancès sits on this spectrum.

No. of scientists
25 50 75 100
Bar chart with 100 bars. Horizontal axis: publications, 42–46 to 537+. Vertical axis: number of scientists, 0 to 112. Most scientists, 112, have 142–146 publications. The last bar groups every scientist with 537 publications or more. The highlighted bar, 162–166 publications, is where this scientist sits. 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 scientist 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientist 522–526 publications: 3 scientists 527–531 publications: 1 scientist 532–536 publications: 4 scientists 537+ publications: 100 scientists
42–46 publications 537+

This scientist: 164 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Mathematics scientists by publication count, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
Publications Scientists This scientist
42–46 3
47–51 5
52–56 7
57–61 20
62–66 14
67–71 25
72–76 19
77–81 35
82–86 50
87–91 60
92–96 86
97–101 84
102–106 83
107–111 90
112–116 99
117–121 90
122–126 91
127–131 109
132–136 110
137–141 98
142–146 112
147–151 102
152–156 88
157–161 106
162–166 83 164
167–171 102
172–176 77
177–181 81
182–186 78
187–191 71
192–196 92
197–201 64
202–206 69
207–211 64
212–216 62
217–221 58
222–226 53
227–231 50
232–236 46
237–241 46
242–246 46
247–251 43
252–256 29
257–261 45
262–266 30
267–271 33
272–276 34
277–281 30
282–286 31
287–291 21
292–296 34
297–301 26
302–306 10
307–311 17
312–316 23
317–321 13
322–326 16
327–331 26
332–336 13
337–341 13
342–346 16
347–351 17
352–356 12
357–361 18
362–366 18
367–371 9
372–376 11
377–381 8
382–386 8
387–391 9
392–396 9
397–401 8
402–406 11
407–411 6
412–416 6
417–421 9
422–426 8
427–431 5
432–436 8
437–441 8
442–446 4
447–451 4
452–456 4
457–461 2
462–466 2
467–471 4
472–476 3
477–481 3
482–486 6
487–491 3
492–496 5
497–501 5
502–506 1
507–511 6
512–516 4
517–521 1
522–526 3
527–531 1
532–536 4
537+ 100
Download as CSV

Eric Cancès publication distribution in Mathematics in 2026 - data summary

  • The chart plots the publication count of all 3,584 Mathematics scientists ranked by Research.com in 2026, grouped into 100 ranges running from 42–46 to 537+ publications.
  • Eric Cancès, a Mathematics scholar from École des Ponts ParisTech, records 164 publications - the 46th percentile of the discipline.
  • 46% of ranked Mathematics scientists score the same or lower than Eric Cancès, and about 54% score higher.
  • The median of the discipline falls in the 172–176 publications range, and Eric Cancès ranks below the median.
  • The most crowded range is 142–146 publications, holding 112 scientists (3% of the field).
  • 47% of the field sits in the lowest quarter of the value range (up to 162–166 publications), so the distribution leans towards the lower end of the scale.
  • The final bar has no upper bound: it groups every scientist with 537 publications or more, 100 scientists in all (3% of the field).

Eric Cancès 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 Eric Cancès sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 57 bars. Horizontal axis: D-Index, 30 to 86+. Vertical axis: number of scientists, 0 to 174. Most scientists, 174, have 30 D-Index. The last bar groups every scientist with 86 D-Index or more. The highlighted bar, 40 D-Index, is where this scientist sits. 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: 40 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Mathematics scientists by D-index, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
D-Index Scientists This scientist
30 174
31 151
32 174
33 117
34 136
35 127
36 145
37 153
38 150
39 150
40 138 40
41 136
42 93
43 108
44 115
45 112
46 103
47 75
48 59
49 67
50 60
51 57
52 59
53 62
54 60
55 50
56 42
57 54
58 50
59 42
60 41
61 35
62 40
63 21
64 31
65 27
66 29
67 19
68 25
69 17
70 18
71 12
72 14
73 13
74 18
75 9
76 11
77 10
78 9
79 16
80 12
81 10
82 5
83 5
84 13
85 6
86+ 99
Download as CSV

Eric Cancès D-index placement in Mathematics in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 3,584 Mathematics scientists ranked by Research.com in 2026, grouped into 57 ranges running from 30 to 86+ D-Index.
  • Eric Cancès, a Mathematics scholar from École des Ponts ParisTech, records 40 D-Index - the 45th percentile of the discipline.
  • 45% of ranked Mathematics scientists score the same or lower than Eric Cancès, and about 55% score higher.
  • The median of the discipline falls in the 42 D-Index range, and Eric Cancès ranks below the median.
  • The most crowded range is 30 D-Index, holding 174 scientists (5% of the field).
  • 58% of the field sits in the lowest quarter of the value range (up to 44 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 86 D-Index or more, 99 scientists in all (3% of the field).

Overview

Eric Cancès is affiliated with the École des Ponts ParisTech in France. Their research spans a variety of topics within physics and materials science, with a particular focus on condensed matter physics and quantum many-body systems.

Their work covers multiple subfields including atomic and molecular physics and optics, materials chemistry, condensed matter physics, surfaces, coatings and films, and mechanical engineering.

They have contributed to several main research topics, which include:

  • Graphene research and applications
  • Advanced chemical physics studies
  • Carbon nanotubes in composites
  • Quantum and electron transport phenomena
  • Quantum many-body systems
  • Machine learning in materials science
  • Electron and X-Ray spectroscopy techniques

Eric Cancès has published research in a variety of scientific venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • JuliaCon Proceedings
  • Physical Review B
  • The Journal of Chemical Physics
  • Communications on Pure and Applied Mathematics

Among their recent papers are the following:

  • "Simple derivation of moiré-scale continuous models for twisted bilayer graphene," 2023, Physical Review B
  • "Some mathematical insights on Density Matrix Embedding Theory," 2023, arXiv (Cornell University)
  • "Analysis of density matrix embedding theory around the non-interacting limit," 2025, Communications on Pure and Applied Mathematics
  • "DFTK: A Julian approach for simulating electrons in solids," 2021, JuliaCon Proceedings (authored by Michael F. Herbst)
  • "Insights into the π - π interaction driven non-covalent functionalization of carbon nanotubes of various diameters by conjugated fluorene and carbazole copolymers," 2020, The Journal of Chemical Physics (authored by Robert Benda)

Frequent co-authors collaborating with Eric Cancès include:

  • Fabian M. Faulstich
  • Louis Garrigue
  • David Gontier
  • Alfred Kirsch
  • Eloïse Letournel

Best Publications

  • A new integral equation formalism for the polarizable continuum model: Theoretical background and applications to isotropic and anisotropic dielectrics

    E. Cancès;B. Mennucci;J. Tomasi

  • The IEF version of the PCM solvation method: an overview of a new method addressed to study molecular solutes at the QM ab initio level

    J. Tomasi;B. Mennucci;E. Cancès

  • New applications of integral equations methods for solvation continuum models: ionic solutions and liquid crystals

    Eric Cancès;Benedetta Mennucci

  • Recent Advances in the Description of Solvent Effects with the Polarizable Continuum Model

    Claudio Amovilli;Vincenzo Barone;Roberto Cammi;Eric Cancès

  • A black-box self-consistent field convergence algorithm: One step closer

    Konstantin N. Kudin;Gustavo E. Scuseria;Eric Cancès

  • Computational quantum chemistry: A primer

    Eric Cancès;Mireille Defranceschi;Werner Kutzelnigg;Claude Le Bris

  • A variational formulation of the polarizable continuum model

    Filippo Lipparini;Giovanni Scalmani;Benedetta Mennucci;Eric Cancès

  • ADAPTIVE SIMULATION OF HYBRID STOCHASTIC AND DETERMINISTIC MODELS FOR BIOCHEMICAL SYSTEMS

    Aurélien Alfonsi;Eric Cancès;Gabriel Turinici;Barbara Di Ventura

  • Analytical derivatives for geometry optimization in solvation continuum models. I. Theory

    E. Cancès;B. Mennucci

  • On the convergence of SCF algorithms for the Hartree-Fock equations

    Eric Cancès;Claude Le Bris

  • THEORETICAL AND NUMERICAL COMPARISON OF SOME SAMPLING METHODS FOR MOLECULAR DYNAMICS

    Eric Cancès;Eric Cancès;Frédéric Legoll;Frédéric Legoll;Gabriel Stoltz

  • Numerical Analysis of Nonlinear Eigenvalue Problems

    Eric Cancès;Rachida Chakir;Yvon Maday

  • Some improvements of the activation-relaxation technique method for finding transition pathways on potential energy surfaces

    E. Cancès;Frédéric Legoll;M. C. Marinica;K. Minoukadeh

  • Fast Domain Decomposition Algorithm for Continuum Solvation Models: Energy and First Derivatives

    Filippo Lipparini;Benjamin Stamm;Eric Cancès;Yvon Maday;Yvon Maday;Yvon Maday

  • Analytical derivatives for geometry optimization in solvation continuum models. II. Numerical applications

    E. Cancès;B. Mennucci;J. Tomasi

  • The Electronic Ground State Energy Problem: a New Reduced Density Matrix Approach

    Eric Cancès;Gabriel Stoltz;Mathieu Lewin

  • Domain decomposition for implicit solvation models.

    Eric Cancès;Yvon Maday;Benjamin Stamm

  • A New Approach to the Modeling of Local Defects in Crystals: The Reduced Hartree-Fock Case

    Éric Cancès;Amélie Deleurence;Mathieu Lewin

  • Self-consistent field algorithms for Kohn–Sham models with fractional occupation numbers

    Eric Cancès

  • How electrons guard the space: shape optimization with probability distribution criteria

    Eric Cancès;Renaud Keriven;François Lodier;Andreas Savin

  • Some improvements of the ART method for finding transition pathways on potential energy surfaces

    E. Cancès;F. Legoll;M.-C. Marinica;K. Minoukadeh

Frequent Co-Authors

Yvon Maday
Yvon Maday Sorbonne University
Benedetta Mennucci
Benedetta Mennucci University of Pisa
Tony Lelièvre
Tony Lelièvre École des Ponts ParisTech
Jean-Philip Piquemal
Jean-Philip Piquemal Sorbonne University
Martin Vohralík
Martin Vohralík French Institute for Research in Computer Science and Automation - INRIA
Gabriel Turinici
Gabriel Turinici Paris Dauphine University
Jacopo Tomasi
Jacopo Tomasi University of Pisa
Giovanni Scalmani
Giovanni Scalmani Gaussian Inc.
William W. Hager
William W. Hager University of Florida
Gustavo E. Scuseria
Gustavo E. Scuseria Rice University

External Links

Personal website of Eric Cancès Google Scholar page

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Best Scientists Citing Eric Cancès

Benedetta Mennucci

Benedetta Mennucci

University of Pisa

Publications: 163

Luis R. Domingo

Luis R. Domingo

University of Valencia

Publications: 154

Jacopo Tomasi

Jacopo Tomasi

University of Pisa

Publications: 78

Roberto Cammi

Roberto Cammi

University of Parma

Publications: 71

Vincenzo Barone

Vincenzo Barone

Scuola Normale Superiore di Pisa

Publications: 63

Jean-Philip Piquemal

Jean-Philip Piquemal

Sorbonne University

Publications: 57

Leif A. Eriksson

Leif A. Eriksson

University of Gothenburg

Publications: 53

Djamaladdin G. Musaev

Djamaladdin G. Musaev

Emory University

Publications: 51

Luis F. Veiros

Luis F. Veiros

Instituto Superior Técnico

Publications: 42

Chiara Cappelli

Chiara Cappelli

University of Granada

Publications: 41

James D. Kubicki

James D. Kubicki

The University of Texas at El Paso

Publications: 38

Yu Lan

Yu Lan

Zhengzhou University

Publications: 37

Christopher J. Cramer

Christopher J. Cramer

UL Research Institutes

Publications: 37

Patricia Pérez

Patricia Pérez

San Sebastián University

Publications: 35

Jacob Kongsted

Jacob Kongsted

University of Southern Denmark

Publications: 35

Denis Jacquemin

Denis Jacquemin

University of Nantes

Publications: 35

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