World's Best Scientists 2026 revealed!

D-Index & Metrics

Materials Science

D-Index
47
Citations
10502
World Ranking
11025
National Ranking
614

Silvana Botti publication distribution in Materials Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Materials Science in 2026. The highlighted bar marks where Silvana Botti sits on this spectrum.

50–69 publications: 28 scientists 70–89 publications: 152 scientists 90–109 publications: 356 scientists 110–129 publications: 487 scientists 130–149 publications: 723 scientists 150–169 publications: 835 scientists 170–189 publications: 850 scientists 190–209 publications: 891 scientists 210–229 publications: 862 scientists 230–249 publications: 766 scientists 250–269 publications: 726 scientists 270–289 publications: 665 scientists 290–309 publications: 593 scientists 310–329 publications: 537 scientists 330–349 publications: 477 scientists 350–369 publications: 440 scientists 370–389 publications: 356 scientists 390–409 publications: 321 scientists 410–429 publications: 256 scientists 430–449 publications: 246 scientists 450–469 publications: 216 scientists 470–489 publications: 212 scientists 490–509 publications: 174 scientists 510–529 publications: 194 scientists 530–549 publications: 162 scientists 550–569 publications: 131 scientists 570–589 publications: 111 scientists 590–609 publications: 103 scientists 610–629 publications: 99 scientists 630–649 publications: 77 scientists 650–669 publications: 92 scientists 670–689 publications: 56 scientists 690–709 publications: 53 scientists 710–729 publications: 53 scientists 730–749 publications: 38 scientists 750–769 publications: 52 scientists 770–789 publications: 43 scientists 790–809 publications: 38 scientists 810–829 publications: 34 scientists 830–849 publications: 25 scientists 850–869 publications: 18 scientists 870–889 publications: 20 scientists 890–909 publications: 24 scientists 910–929 publications: 27 scientists 930–949 publications: 20 scientists 950–969 publications: 17 scientists 970–989 publications: 10 scientists 990–1,009 publications: 16 scientists 1,010–1,029 publications: 13 scientists 1,030–1,049 publications: 12 scientists 1,050–1,069 publications: 9 scientists 1,070–1,089 publications: 8 scientists 1,090–1,109 publications: 7 scientists 1,110–1,129 publications: 9 scientists 1,130–1,149 publications: 2 scientists 1,150–1,162 publications: 5 scientists 1,163+ publications: 100 scientists
50 publications 1,163+

This scientist: 202 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,163 publications or more.

Silvana Botti D-index placement in Materials Science in 2026

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

40–41 D-Index: 211 scientists 42–43 D-Index: 450 scientists 44–45 D-Index: 612 scientists 46–47 D-Index: 612 scientists 48–49 D-Index: 598 scientists 50–51 D-Index: 657 scientists 52–53 D-Index: 667 scientists 54–55 D-Index: 621 scientists 56–57 D-Index: 597 scientists 58–59 D-Index: 610 scientists 60–61 D-Index: 587 scientists 62–63 D-Index: 606 scientists 64–65 D-Index: 533 scientists 66–67 D-Index: 490 scientists 68–69 D-Index: 469 scientists 70–71 D-Index: 378 scientists 72–73 D-Index: 421 scientists 74–75 D-Index: 359 scientists 76–77 D-Index: 323 scientists 78–79 D-Index: 299 scientists 80–81 D-Index: 230 scientists 82–83 D-Index: 210 scientists 84–85 D-Index: 195 scientists 86–87 D-Index: 203 scientists 88–89 D-Index: 175 scientists 90–91 D-Index: 175 scientists 92–93 D-Index: 142 scientists 94–95 D-Index: 121 scientists 96–97 D-Index: 117 scientists 98–99 D-Index: 107 scientists 100–101 D-Index: 88 scientists 102–103 D-Index: 85 scientists 104–105 D-Index: 68 scientists 106–107 D-Index: 62 scientists 108–109 D-Index: 57 scientists 110–111 D-Index: 45 scientists 112–113 D-Index: 49 scientists 114–115 D-Index: 50 scientists 116–117 D-Index: 34 scientists 118–119 D-Index: 38 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 28 scientists 126–127 D-Index: 24 scientists 128–129 D-Index: 33 scientists 130–131 D-Index: 28 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 20 scientists 136–137 D-Index: 23 scientists 138–139 D-Index: 17 scientists 140–141 D-Index: 12 scientists 142–143 D-Index: 17 scientists 144–145 D-Index: 21 scientists 146–147 D-Index: 13 scientists 148–149 D-Index: 11 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 13 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 4 scientists 162–163 D-Index: 4 scientists 164 D-Index: 3 scientists 165+ D-Index: 98 scientists
40 D-Index 165+

This scientist: 47 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 165 D-Index or more.

Overview

Silvana Botti is a researcher affiliated with Friedrich Schiller University Jena in Germany, specializing primarily in materials science. Their work spans multiple subfields including materials chemistry, atomic and molecular physics and optics, electrical and electronic engineering, electronic, optical and magnetic materials, and biomedical engineering.

The scientist's research encompasses an extensive number of topics with a strong focus on machine learning applications in materials science. Other key areas of study include semiconductor materials and interfaces, graphene research and applications, semiconductor materials and devices, nanowire synthesis and applications, X-ray diffraction in crystallography, and 2D materials and applications.

Frequent publication venues for Silvana Botti include arXiv (Cornell University), Physical Review B, Physical Review Materials, npj Computational Materials, and the Journal of Chemical Theory and Computation.

Notable recent papers authored or co-authored by Silvana Botti cover a variety of subjects from advanced materials characterization to computational methods. Selected works include:

  • Direct-bandgap emission from hexagonal Ge and SiGe alloys, 2020, Nature
  • Exchange-correlation functionals for band gaps of solids: benchmark, reparametrization and machine learning, 2020, npj Computational Materials
  • Roadmap on Machine learning in electronic structure, 2022, Electronic Structure
  • Crystal graph attention networks for the prediction of stable materials, 2021, Science Advances
  • First-Principles Identification of Single Photon Emitters Based on Carbon Clusters in Hexagonal Boron Nitride, 2021, The Journal of Physical Chemistry A

Silvana Botti has collaborated frequently with researchers such as Miguel A. L. Marques, F. Bechstedt, Tomáš Rauch, Jonathan Schmidt, and Pedro Borlido. These collaborations indicate an active involvement in research communities focusing on computational materials science and electronic structure methods.

Best Publications

  • Recent advances and applications of machine learning in solid-state materials science

    Jonathan Schmidt;Mário R. G. Marques;Silvana Botti;Miguel A. L. Marques

  • Density-based mixing parameter for hybrid functionals

    Miguel A. L. Marques;Julien Vidal;Julien Vidal;Micael J. T. Oliveira;Lucia Reining

  • Crystal Structure of Cold Compressed Graphite

    Maximilian Amsler;José A. Flores-Livas;Lauri Lehtovaara;Felix Balima

  • Direct-bandgap emission from hexagonal Ge and SiGe alloys

    Elham M. T. Fadaly;Alain Dijkstra;Jens Renè Suckert;Dorian Ziss

  • Stability and electronic properties of new inorganic perovskites from high-throughput ab initio calculations

    Sabine Körbel;Sabine Körbel;Miguel A. L. Marques;Silvana Botti

  • Predicting the Thermodynamic Stability of Solids Combining Density Functional Theory and Machine Learning

    Jonathan Schmidt;Jingming Shi;Pedro Borlido;Liming Chen

  • Exchange-correlation functionals for band gaps of solids: benchmark, reparametrization and machine learning

    Pedro Borlido;Jonathan Schmidt;Ahmad W. Huran;Fabien Tran

  • Long-range contribution to the exchange-correlation kernel of time-dependent density functional theory

    Silvana Botti;Francesco Sottile;Nathalie Vast;Valerio Olevano

  • Roadmap on Machine learning in electronic structure

    Unknown

  • Origin of the optical contrast in phase-change materials.

    Wojciech Wełnic;Wojciech Wełnic;Silvana Botti;Lucia Reining;Matthias Wuttig

  • Strong interplay between structure and electronic properties in CuIn(S,Se){2}: a first-principles study.

    Julien Vidal;Julien Vidal;Silvana Botti;Silvana Botti;Pär Olsson;Jean Francois Guillemoles

  • Low-energy silicon allotropes with strong absorption in the visible for photovoltaic applications

    Silvana Botti;José A. Flores-Livas;Maximilian Amsler;Stefan Goedecker

  • Band structures of Cu2ZnSnS4 and Cu2ZnSnSe4 from many-body methods

    Silvana Botti;David Kammerlander;Miguel A. L. Marques

  • Time-dependent density functional theory scheme for efficient calculations of dynamic "hyper…polarizabilities

    Xavier Andrade;Silvana Botti;Miguel A. L. Marques;Angel Rubio

  • Prediction of Stable Nitride Perovskites

    Rafael Sarmiento-Pérez;Rafael Sarmiento-Pérez;Tiago F. T. Cerqueira;Sabine Körbel;Silvana Botti;Silvana Botti

  • A time-dependent density functional theory scheme for efficient calculations of dynamic (hyper)polarizabilities

    Xavier Andrade;Silvana Botti;Miguel A. L. Marques;Angel Rubio

  • Band structures of Cu2nSnS4 and Cu2nSnSe4 from many-body methods

    Silvana Botti;David Kammerlander;Miguel A. L. Marque

  • Direct Bandgap Emission from Hexagonal Ge and SiGe Alloys

    E.M.T. Fadaly;A. Dijkstra;J.R. Suckert;D. Ziss

  • Crystal graph attention networks for the prediction of stable materials.

    Jonathan Schmidt;Love Pettersson;Claudio Verdozzi;Silvana Botti

  • Benchmark Many-Body GW and Bethe–Salpeter Calculations for Small Transition Metal Molecules

    Sabine Körbel;Paul Boulanger;Paul Boulanger;Ivan Duchemin;Xavier Blase;Xavier Blase

  • Effects of electronic and lattice polarization on the band structure of delafossite transparent conductive oxides.

    Julien Vidal;Julien Vidal;Fabio Trani;Fabien Bruneval;Miguel Alexandre Lopes Marques

  • High-Pressure Structures of Disilane and Their Superconducting Properties

    José A. Flores-Livas;Maximilian Amsler;Thomas J. Lenosky;Lauri Lehtovaara

  • First-Principles Identification of Single Photon Emitters Based on Carbon Clusters in Hexagonal Boron Nitride.

    Cesar Jara;Tomáš Rauch;Silvana Botti;Miguel A. L. Marques

  • First principles approaches to spectroscopic properties of complex materials

    Cristiana Di Valentin;Silvana Botti;Matteo Cococcioni

  • TDDFT from molecules to solids: The role of long‐range interactions

    Francesco Sottile;Francesco Sottile;Fabien Bruneval;A. G. Marinopoulos;L. K. Dash

  • Low-density silicon allotropes for photovoltaic applications

    Maximilian Amsler;Silvana Botti;Miguel A. L. Marques;Thomas J. Lenosky

  • Identification of Novel Cu, Ag, and Au Ternary Oxides from Global Structural Prediction

    Tiago F. T. Cerqueira;Tiago F. T. Cerqueira;Sun Lin;Sun Lin;Maximilian Amsler;Stefan Goedecker

  • Predicting stable crystalline compounds using chemical similarity

    Hai-Chen Wang;Silvana Botti;Miguel A. L. Marques

Frequent Co-Authors

Friedhelm Bechstedt
Friedhelm Bechstedt Friedrich Schiller University Jena
Erik P. A. M. Bakkers
Erik P. A. M. Bakkers Eindhoven University of Technology
Angel Rubio
Angel Rubio Max Planck Institute for the Structure and Dynamics of Matter
Marcel A. Verheijen
Marcel A. Verheijen Eindhoven University of Technology
Susanne Siebentritt
Susanne Siebentritt University of Luxembourg
Jonathan J. Finley
Jonathan J. Finley Technical University of Munich
Pyuck-Pa Choi
Pyuck-Pa Choi Korea Advanced Institute of Science and Technology
Oana Cojocaru-Mirédin
Oana Cojocaru-Mirédin University of Freiburg
Dierk Raabe
Dierk Raabe Max Planck Institute for Iron Research

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