Gian‐Marco Rignanese

160 papers receiving 11.0k citations

Hit Papers

First-principles computation of material properties: the ...2002202620102018200220182013201550010001.5k2.0k2.5k

Peers

Gian‐Marco Rignanese
Comparison fields: 5 of 120
  • Materials Chemistry 8.2k
  • Electrical and Electronic Engineering 4.3k
  • Atomic and Molecular Physics, and Optics 2.5k
  • Electronic, Optical and Magnetic Materials 2.2k
  • Condensed Matter Physics 1.2k
Replace Lucian A. Constantin with:
Lucian A. Constantin Italy
Fumiyasu Oba Japan
Claudia Draxl Austria
Cai‐Zhuang Wang United States
E. A. Kotomin Latvia
Martijn Marsman Austria
Vidvuds Ozoliņš United States
Andrea Dal Corso Italy
А. И. Колесников United States
Natalio Mingo France
Gian‐Marco Rignanese relative to Lucian A. Constantin Italy Lucian A. Constantin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gian‐Marco Rignanese

Since Specialization
Citations

This map shows the geographic impact of Gian‐Marco Rignanese'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 Gian‐Marco Rignanese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gian‐Marco Rignanese more than expected).

Fields of papers citing papers by Gian‐Marco Rignanese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gian‐Marco Rignanese. 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 Gian‐Marco Rignanese. The network helps show where Gian‐Marco Rignanese may publish in the future.

Co-authorship network of co-authors of Gian‐Marco Rignanese

This figure shows the co-authorship network connecting the top 25 collaborators of Gian‐Marco Rignanese. A scholar is included among the top collaborators of Gian‐Marco Rignanese based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gian‐Marco Rignanese. Gian‐Marco Rignanese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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5 8
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15 55
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Designing Materials with High Refractive Index and Wide Band Gap: A First-Principles High-Throughput Study
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The ABINIT software project
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The G0W0 band gap of ZnO: effects of plasmon-pole models
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About Gian‐Marco Rignanese

Gian‐Marco Rignanese is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Atomic and Molecular Physics, and Optics, having authored 168 papers that have together received 11.3k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (30 papers), Electronic and Structural Properties of Oxides (28 papers) and Semiconductor materials and devices (25 papers). The work is most often cited by research in Materials Chemistry (8.2k citations), Electronic, Optical and Magnetic Materials (2.2k citations) and Condensed Matter Physics (1.2k citations). Gian‐Marco Rignanese has collaborated with scholars based in Belgium, United States and China. Frequent co-authors include Xavier Gonze, Geoffroy Hautier, Matthieu J. Verstraete, Matteo Giantomassi, Jean‐Christophe Charlier, Philippe Ghosez, Alfredo Pasquarello, Michiel J. van Setten, F. Detraux and D. R. Hamann. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and Angewandte Chemie International Edition.

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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