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Alexandre Tkatchenko

Alexandre Tkatchenko

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Physics 94 1958 1858 1 1 341 49036

Alexandre Tkatchenko publications per year

The chart shows the history of publications by Alexandre Tkatchenko between 1978 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Alexandre Tkatchenko published across 49 years, from 1978 to 2026, averaging 10 papers a year. Output peaked at 53 publications in 2023. 42 of the 488 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1978 to 2026. Vertical axis: number of publications, 0 to 53. Peak 53 publications in 2023. 1978: 1 publication 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 1 publication 2005: 3 publications 2006: 7 publications 2007: 5 publications 2008: 7 publications 2009: 5 publications 2010: 8 publications 2011: 11 publications 2012: 27 publications 2013: 30 publications 2014: 28 publications 2015: 15 publications 2016: 17 publications 2017: 32 publications 2018: 36 publications 2019: 27 publications 2020: 36 publications 2021: 37 publications 2022: 23 publications 2023: 53 publications 2024: 37 publications 2025: 41 publications 2026: 1 publication
1978 2026

488 publications in total across all disciplines

View publications per year as a table
Alexandre Tkatchenko: publications per year, 1978 to 2026
Year Publications
1978 1
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 0
2004 1
2005 3
2006 7
2007 5
2008 7
2009 5
2010 8
2011 11
2012 27
2013 30
2014 28
2015 15
2016 17
2017 32
2018 36
2019 27
2020 36
2021 37
2022 23
2023 53
2024 37
2025 41
2026 1
Total 488
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Alexandre Tkatchenko publication distribution in Physics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Physics in 2026. The highlighted bar marks where Alexandre Tkatchenko sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 70 bars. Horizontal axis: publications, 103–122 to 1,469+. Vertical axis: number of scientists, 0 to 162. Most scientists, 162, have 323–342 publications. The last bar groups every scientist with 1,469 publications or more. The highlighted bar, 323–342 publications, is where this scientist sits. 103–122 publications: 7 scientists 123–142 publications: 10 scientists 143–162 publications: 31 scientists 163–182 publications: 35 scientists 183–202 publications: 53 scientists 203–222 publications: 81 scientists 223–242 publications: 85 scientists 243–262 publications: 112 scientists 263–282 publications: 114 scientists 283–302 publications: 126 scientists 303–322 publications: 136 scientists 323–342 publications: 162 scientists 343–362 publications: 155 scientists 363–382 publications: 156 scientists 383–402 publications: 134 scientists 403–422 publications: 145 scientists 423–442 publications: 147 scientists 443–462 publications: 131 scientists 463–482 publications: 131 scientists 483–502 publications: 116 scientists 503–522 publications: 106 scientists 523–542 publications: 103 scientists 543–562 publications: 87 scientists 563–582 publications: 84 scientists 583–602 publications: 94 scientists 603–622 publications: 70 scientists 623–642 publications: 76 scientists 643–662 publications: 60 scientists 663–682 publications: 54 scientists 683–702 publications: 60 scientists 703–722 publications: 48 scientists 723–742 publications: 64 scientists 743–762 publications: 48 scientists 763–782 publications: 37 scientists 783–802 publications: 43 scientists 803–822 publications: 34 scientists 823–842 publications: 36 scientists 843–862 publications: 32 scientists 863–882 publications: 32 scientists 883–902 publications: 31 scientists 903–922 publications: 25 scientists 923–942 publications: 15 scientists 943–962 publications: 24 scientists 963–982 publications: 13 scientists 983–1,002 publications: 21 scientists 1,003–1,022 publications: 21 scientists 1,023–1,042 publications: 16 scientists 1,043–1,062 publications: 9 scientists 1,063–1,082 publications: 19 scientists 1,083–1,102 publications: 11 scientists 1,103–1,122 publications: 17 scientists 1,123–1,142 publications: 11 scientists 1,143–1,162 publications: 7 scientists 1,163–1,182 publications: 4 scientists 1,183–1,202 publications: 10 scientists 1,203–1,222 publications: 8 scientists 1,223–1,242 publications: 16 scientists 1,243–1,262 publications: 4 scientists 1,263–1,282 publications: 10 scientists 1,283–1,302 publications: 5 scientists 1,303–1,322 publications: 7 scientists 1,323–1,342 publications: 4 scientists 1,343–1,362 publications: 8 scientists 1,363–1,382 publications: 6 scientists 1,383–1,402 publications: 7 scientists 1,403–1,422 publications: 3 scientists 1,423–1,442 publications: 4 scientists 1,443–1,462 publications: 4 scientists 1,463–1,468 publications: 3 scientists 1,469+ publications: 100 scientists
103–122 publications 1,469+

This scientist: 341 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,469 publications or more.

View publications distribution as a table
Number of Physics scientists by publication count, Research.com 2026 ranking edition. Based on 3,678 ranked scientists.
Publications Scientists This scientist
103–122 7
123–142 10
143–162 31
163–182 35
183–202 53
203–222 81
223–242 85
243–262 112
263–282 114
283–302 126
303–322 136
323–342 162 341
343–362 155
363–382 156
383–402 134
403–422 145
423–442 147
443–462 131
463–482 131
483–502 116
503–522 106
523–542 103
543–562 87
563–582 84
583–602 94
603–622 70
623–642 76
643–662 60
663–682 54
683–702 60
703–722 48
723–742 64
743–762 48
763–782 37
783–802 43
803–822 34
823–842 36
843–862 32
863–882 32
883–902 31
903–922 25
923–942 15
943–962 24
963–982 13
983–1,002 21
1,003–1,022 21
1,023–1,042 16
1,043–1,062 9
1,063–1,082 19
1,083–1,102 11
1,103–1,122 17
1,123–1,142 11
1,143–1,162 7
1,163–1,182 4
1,183–1,202 10
1,203–1,222 8
1,223–1,242 16
1,243–1,262 4
1,263–1,282 10
1,283–1,302 5
1,303–1,322 7
1,323–1,342 4
1,343–1,362 8
1,363–1,382 6
1,383–1,402 7
1,403–1,422 3
1,423–1,442 4
1,443–1,462 4
1,463–1,468 3
1,469+ 100
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Alexandre Tkatchenko D-index placement in Physics in 2026

The chart shows the D-index (discipline H-index) distribution of Physics scientists ranked by Research.com in 2026. The highlighted bar marks where Alexandre Tkatchenko sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 59 bars. Horizontal axis: D-Index, 70–71 to 185+. Vertical axis: number of scientists, 0 to 167. Most scientists, 167, have 80–81 D-Index. The last bar groups every scientist with 185 D-Index or more. The highlighted bar, 94–95 D-Index, is where this scientist sits. 70–71 D-Index: 76 scientists 72–73 D-Index: 110 scientists 74–75 D-Index: 143 scientists 76–77 D-Index: 153 scientists 78–79 D-Index: 144 scientists 80–81 D-Index: 167 scientists 82–83 D-Index: 167 scientists 84–85 D-Index: 166 scientists 86–87 D-Index: 132 scientists 88–89 D-Index: 155 scientists 90–91 D-Index: 134 scientists 92–93 D-Index: 137 scientists 94–95 D-Index: 102 scientists 96–97 D-Index: 112 scientists 98–99 D-Index: 110 scientists 100–101 D-Index: 116 scientists 102–103 D-Index: 97 scientists 104–105 D-Index: 103 scientists 106–107 D-Index: 87 scientists 108–109 D-Index: 90 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 78 scientists 114–115 D-Index: 75 scientists 116–117 D-Index: 67 scientists 118–119 D-Index: 69 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 59 scientists 124–125 D-Index: 53 scientists 126–127 D-Index: 42 scientists 128–129 D-Index: 41 scientists 130–131 D-Index: 33 scientists 132–133 D-Index: 32 scientists 134–135 D-Index: 45 scientists 136–137 D-Index: 19 scientists 138–139 D-Index: 24 scientists 140–141 D-Index: 28 scientists 142–143 D-Index: 31 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 20 scientists 148–149 D-Index: 12 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 24 scientists 154–155 D-Index: 23 scientists 156–157 D-Index: 15 scientists 158–159 D-Index: 15 scientists 160–161 D-Index: 11 scientists 162–163 D-Index: 17 scientists 164–165 D-Index: 12 scientists 166–167 D-Index: 11 scientists 168–169 D-Index: 9 scientists 170–171 D-Index: 9 scientists 172–173 D-Index: 11 scientists 174–175 D-Index: 4 scientists 176–177 D-Index: 8 scientists 178–179 D-Index: 5 scientists 180–181 D-Index: 3 scientists 182–183 D-Index: 4 scientists 184 D-Index: 4 scientists 185+ D-Index: 99 scientists
70–71 D-Index 185+

This scientist: 94 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 185 D-Index or more.

View D-Index distribution as a table
Number of Physics scientists by D-index, Research.com 2026 ranking edition. Based on 3,678 ranked scientists.
D-Index Scientists This scientist
70–71 76
72–73 110
74–75 143
76–77 153
78–79 144
80–81 167
82–83 167
84–85 166
86–87 132
88–89 155
90–91 134
92–93 137
94–95 102 94
96–97 112
98–99 110
100–101 116
102–103 97
104–105 103
106–107 87
108–109 90
110–111 67
112–113 78
114–115 75
116–117 67
118–119 69
120–121 60
122–123 59
124–125 53
126–127 42
128–129 41
130–131 33
132–133 32
134–135 45
136–137 19
138–139 24
140–141 28
142–143 31
144–145 22
146–147 20
148–149 12
150–151 16
152–153 24
154–155 23
156–157 15
158–159 15
160–161 11
162–163 17
164–165 12
166–167 11
168–169 9
170–171 9
172–173 11
174–175 4
176–177 8
178–179 5
180–181 3
182–183 4
184 4
185+ 99
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Research.com Recognitions

  • 2019 - Fellow of American Physical Society (APS) Citation For the development of a novel framework for modeling and understanding van der Waals interactions in molecules and materials

Overview

Alexandre Tkatchenko is affiliated with the University of Luxembourg in Luxembourg. Their research primarily focuses on areas intersecting materials science and physics, with significant contributions to subfields such as materials chemistry, atomic and molecular physics and optics, computational theory and mathematics, molecular biology, and electrical and electronic engineering.

The scientist's body of work spans several key topics, notably:

  • Machine Learning in Materials Science
  • Computational Drug Discovery Methods
  • Advanced Chemical Physics Studies
  • Protein Structure and Dynamics
  • X-ray Diffraction in Crystallography
  • Crystallization and Solubility Studies
  • Spectroscopy and Quantum Chemical Studies

Alexandre Tkatchenko's recent publications include:

  • "Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems" (2021), published in Chemical Reviews
  • "Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems" (2020), published in arXiv (Cornell University)
  • "Machine learning for chemical discovery" (2020), published in Nature Communications
  • "Roadmap on Machine learning in electronic structure" (2022), published in Electronic Structure
  • "Density Functional Model for van der Waals Interactions: Unifying Many-Body Atomic Approaches with Nonlocal Functionals" (2020), published in Physical Review Letters

The scientist frequently collaborates with the following coauthors:

  • Matej Ditte
  • Leonardo Medrano Sandonas
  • Loïc Groslambert
  • Yann Cornaton
  • Patrick Pale

Frequent publication venues for their research comprise:

  • arXiv (Cornell University)
  • The Cambridge Structural Database
  • Nature Communications
  • Journal of Chemical Theory and Computation
  • The Journal of Chemical Physics

In addition to journal articles, Alexandre Tkatchenko has contributed to book publications, including a work published by Springer Science+Business Media titled Machine Learning Meets Quantum Physics (2020).

Among formal recognitions, Alexandre Tkatchenko was named a Fellow of the American Physical Society in 2019. The associated citation highlights the development of a novel framework for modeling and understanding van der Waals interactions in molecules and materials.

Best Publications

  • Accurate molecular van der Waals interactions from ground-state electron density and free-atom reference data

    Alexandre Tkatchenko;Matthias Scheffler

  • Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning

    Matthias Rupp;Matthias Rupp;Alexandre Tkatchenko;Alexandre Tkatchenko;Klaus Robert Müller;Klaus Robert Müller;O. Anatole Von Lilienfeld;O. Anatole Von Lilienfeld

  • SchNet - A deep learning architecture for molecules and materials.

    Kristof T. Schütt;Huziel E. Sauceda;P. J. Kindermans;Alexandre Tkatchenko

  • Accurate and Efficient Method for Many-Body van der Waals Interactions

    Alexandre Tkatchenko;Robert A. DiStasio;Roberto Car;Matthias Scheffler

  • Reproducibility in density functional theory calculations of solids

    Kurt Lejaeghere;Gustav Bihlmayer;Torbjörn Björkman;Torbjörn Björkman;Peter Blaha

  • Quantum-chemical insights from deep tensor neural networks.

    Kristof T. Schütt;Farhad Arbabzadah;Stefan Chmiela;Klaus R. Müller;Klaus R. Müller

  • Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package

    Evgeny Epifanovsky;Andrew T.B. Gilbert;Andrew T.B. Gilbert;Xintian Feng;Xintian Feng;Joonho Lee

  • Machine learning of accurate energy-conserving molecular force fields

    Stefan Chmiela;Alexandre Tkatchenko;Alexandre Tkatchenko;Huziel E. Sauceda;Igor Poltavsky

  • DFTB+, a software package for efficient approximate density functional theory based atomistic simulations

    B. Hourahine;B. Aradi;V. Blum;F. Bonafé

  • Machine Learning for Molecular Simulation.

    Frank Noé;Frank Noé;Alexandre Tkatchenko;Klaus Robert Müller;Klaus Robert Müller;Klaus Robert Müller;Cecilia Clementi;Cecilia Clementi

  • Machine Learning Predictions of Molecular Properties: Accurate Many-Body Potentials and Nonlocality in Chemical Space

    Katja Hansen;Franziska Biegler;Raghunathan Ramakrishnan;Wiktor Pronobis

  • Machine Learning Force Fields

    Oliver T. Unke;Stefan Chmiela;Huziel E. Sauceda;Michael Gastegger

  • Resolution-of-identity approach to Hartree?Fock, hybrid density functionals, RPA, MP2 and GW with numeric atom-centered orbital basis functions

    Xinguo Ren;Patrick Rinke;Volker Blum;Jürgen Wieferink

  • Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies

    Katja Hansen;Grégoire Montavon;Franziska Biegler;Siamac Fazli

  • Long-range correlation energy calculated from coupled atomic response functions.

    Alberto Ambrosetti;Anthony M. Reilly;Robert A. DiStasio;Alexandre Tkatchenko

  • Towards Exact Molecular Dynamics Simulations with Machine-Learned Force Fields

    Stefan Chmiela;Huziel Sauceda;Klaus-Robert Müller;Alexandre Tkatchenko

  • Report on the sixth blind test of organic crystal-structure prediction methods

    Anthony M. Reilly;Richard I. Cooper;Claire S. Adjiman;Saswata Bhattacharya

  • Density-Functional Theory with Screened van der Waals Interactions for the Modeling of Hybrid Inorganic-Organic Systems

    Victor G. Ruiz;Wei Liu;Egbert Zojer;Matthias Scheffler

  • Resolution-of-identity approach to Hartree-Fock, hybrid density functionals, RPA, MP2, and extit{GW} with numeric atom-centered orbital basis functions

    Xinguo Ren;Patrick Rinke;Volker Blum;Jürgen Wieferink

  • Machine Learning of Molecular Electronic Properties in Chemical Compound Space

    Grégoire Montavon;Matthias Rupp;Vivekanand Gobre;Alvaro Vazquez-Mayagoitia

Frequent Co-Authors

Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Matthias Scheffler
Matthias Scheffler Fritz Haber Institute of the Max Planck Society
Wei Liu
Wei Liu University of California, Riverside
O. Anatole von Lilienfeld
O. Anatole von Lilienfeld University of Toronto
Roberto Car
Roberto Car Princeton University
Angelos Michaelides
Angelos Michaelides University of Cambridge
Leeor Kronik
Leeor Kronik Weizmann Institute of Science
Matthias Rupp
Matthias Rupp Luxembourg Institute of Science and Technology
Karsten Reuter
Karsten Reuter Fritz Haber Institute of the Max Planck Society
Egbert Zojer
Egbert Zojer Graz University of Technology

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