Silvana Botti

10.6k citations
156 papers · 7.9k indexed · 1 hit paper · h-index 42

Silvana Botti

152 papers receiving 7.8k citations

Hit Papers

Recent advances and applications of machine learning in s...1.7k201920262021202350010001.5k

Peers

Silvana Botti
Comparison fields: 5 of 165
  • Materials Chemistry 5.9k
  • Atomic and Molecular Physics, and Optics 1.7k
  • Electrical and Electronic Engineering 2.9k
  • Electronic, Optical and Magnetic Materials 891
  • Condensed Matter Physics 553
Replace Gus L. W. Hart with:
Gus L. W. Hart United States
Noam Bernstein United States
Alessandro De Vita United Kingdom
Natalio Mingo France
Marco Buongiorno Nardelli United States
Stephen Dacek United States
David Skinner United States
Paul Crozier United States
Christian Robert Trott United States
Evan J. Reed United States
Silvana Botti relative to Gus L. W. Hart United States Gus L. W. Hart's profile →
Citations per field
00.5×1.7×
Gus L. W. Hart · 1×
Citations per year

Countries citing papers authored by Silvana Botti

Since Specialization
Citations

This map shows the geographic impact of Silvana Botti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Silvana Botti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvana Botti more than expected).

Fields of papers citing papers by Silvana Botti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvana Botti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Silvana Botti. The network helps show where Silvana Botti may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Silvana Botti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Silvana Botti Line = papers co-authored together Silvana Botti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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Ab initio Calculations of the Anisotropic Dielectric Tensor of GaAs/AlAs Superlattices
20031

About Silvana Botti

Silvana Botti is a scholar working on Materials Chemistry, Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Geophysics and Electronic, Optical and Magnetic Materials, having authored 156 papers that have together received 7.9k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (30 papers), Quantum Dots Synthesis And Properties (23 papers), Graphene research and applications (22 papers), Advanced Chemical Physics Studies (21 papers), Copper-based nanomaterials and applications (20 papers), Chalcogenide Semiconductor Thin Films (20 papers), 2D Materials and Applications (15 papers) and High-pressure geophysics and materials (14 papers). The work is most often cited by research in Materials Chemistry (5.9k citations), Atomic and Molecular Physics, and Optics (1.7k citations), Electrical and Electronic Engineering (2.9k citations), Electronic, Optical and Magnetic Materials (891 citations) and Condensed Matter Physics (553 citations). Silvana Botti has collaborated with scholars based in Germany, France and Belgium. Frequent co-authors include Miguel A. L. Marques, Jonathan Schmidt, Mário R. G. Marques, Lucia Reining, Pedro Borlido, Sabine Körbel, Stefan Goedecker, Julien Vidal, Maximilian Amsler and José A. Flores‐Livas. Their work appears in journals such as Physical Review B, Physical Review Letters, Physical review. B., Physical Review Materials and Journal of Chemical Theory and Computation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026